├── .gitignore ├── LICENSE ├── README.md ├── README_cn.md ├── README_es.md ├── README_ja.md ├── README_zh_tw.md └── docs ├── 16x_prompt ├── README.md └── assets │ ├── 16x_prompt_integration.png │ └── 16x_prompt_ui.png ├── 4EVERChat ├── README.md ├── README_cn.md └── README_ja.md ├── ATTPs └── README.md ├── AlphaBot └── assets │ └── logo.png ├── Alpha派 ├── README.md ├── README_cn.md ├── README_ja.md └── assets │ ├── Alpha派-0.png │ ├── Alpha派-1.png │ ├── Alpha派-2.png │ ├── favicon.png │ └── favicon1.png ├── Awesome DeepSeek Integrations.png ├── BotSharp └── assets │ └── logo.png ├── Casibase └── assets │ └── casibase.png ├── ChatDOC ├── README.md ├── README_cn.md └── assets │ ├── settings.png │ └── ui.png ├── Coco AI ├── README.md ├── README_cn.md └── assets │ ├── coco-deepseek-1.png │ ├── coco-deepseek-2.png │ ├── coco-deepseek-3.png │ ├── coco-deepseek-4.png │ ├── coco-deepseek-5.png │ ├── favicon.png │ └── og-image.gif ├── ComfyUI-Copilot ├── README.md └── assets │ ├── Framework.png │ ├── comfycopilot_nodes_recommend.gif │ ├── comfycopilot_nodes_search.gif │ ├── keygen.png │ ├── logo 2.png │ ├── logo.png │ ├── start.png │ └── 工作流检索.png ├── DocKit ├── README.md ├── README_cn.md └── assets │ ├── client-ui.png │ ├── dockit.png │ ├── wechat_official.png │ └── wechat_ponsor.jpg ├── Geneplore AI └── README.md ├── HIX.AI └── assets │ └── logo.svg ├── Lulu Translate ├── README.md ├── README_cn.md └── assets │ └── ScreenShot-2024-07-05-at-06.21.45.png ├── Ncurator ├── README.md ├── README_cn.md └── assets │ ├── logo.png │ ├── screenshot1.png │ ├── screenshot2.png │ └── screenshot3.png ├── OpenXLab └── migo │ └── logo.svg ├── PopAi └── assets │ └── logo.svg ├── SiYuan ├── README.md ├── README_cn.md └── assets │ ├── image-20250122162241-32a4oma.png │ ├── image-20250122162425-wlsgw0u.png │ └── image-20250122163007-hkuruoe.png ├── SwiftChat ├── README.md ├── README_cn.md └── assets │ ├── favicon.png │ ├── promo.png │ ├── settings.png │ └── system-prompt.png ├── TigerGPT └── assets │ └── logo.png ├── Typral ├── README.md ├── README_cn.md └── assets │ ├── screenshot1.png │ └── screenshot2.png ├── UOS AI ├── README.md ├── README_cn.md └── assets │ ├── custom-v3-en.png │ ├── custom-v3.png │ ├── r1-en.png │ ├── r1.png │ ├── ui-en.png │ ├── ui.png │ └── uos-ai-assistant.svg ├── _logo svg ├── AVATARS.svg ├── COLORS.svg ├── COMBINE.svg ├── ICON.svg ├── TEXT.svg └── guidelines.md ├── agentUniverse ├── README.md ├── README_cn.md ├── README_ja.md └── assets │ ├── agentUniverse_logo.jpg │ └── agentUniverse_logo_s.png ├── aimlapi └── aimlapi_logo.png ├── aingdesk ├── README.md ├── README.zh_cn.md └── assets │ ├── img │ ├── 1_en.png │ ├── 1_zh.png │ ├── 2_zh.png │ └── 3_zh.png │ └── logo.png ├── anda ├── README.md ├── README_cn.md └── assets │ └── anda_diagram.webp ├── anything-copilot ├── README.md ├── README_cn.md └── assets │ ├── Screenshot_DeepSeek.webp │ ├── logo.svg │ └── logo_16x16.svg ├── autoflow ├── README.md └── README_cn.md ├── avante.nvim ├── README.md └── README_cn.md ├── bob_translate ├── README.md └── README_cn.md ├── chatbox ├── README.md └── README_cn.md ├── chatgpt_box ├── README.md └── README_cn.md ├── chatgpt_next_web ├── README.md └── README_cn.md ├── chatpdflocal └── assets │ └── chatpdflocal-icon.png ├── cherrystudio ├── README.md └── README_cn.md ├── cline ├── README.md ├── README_cn.md └── assets │ ├── cline-00.png │ ├── cline-01.png │ ├── cline-02.png │ ├── favicon.png │ └── roocline-00.png ├── codecompanion.nvim ├── README.md └── README_cn.md ├── codegate ├── README.md ├── README_cn.md └── assets │ ├── cline-screen.png │ ├── cline-settings.png │ ├── codegate.png │ └── continue-screen.png ├── continue ├── README.md └── README_cn.md ├── curator ├── README.md └── README_cn.md ├── cursor ├── README.md ├── README_cn.md └── assets │ └── cursor-setting.png ├── dbgpt ├── README.md ├── README_cn.md └── assets │ ├── dbgpt_chat_data.jpg │ ├── dbgpt_chat_data_en.jpg │ ├── dbgpt_datasource.jpg │ ├── dbgpt_datasource_en.jpg │ ├── dbgpt_ui.jpg │ └── dbgpt_ui_en.jpg ├── deepshare ├── README.md ├── README_cn.md └── assets │ ├── ds2_1t.png │ └── logo_200.png ├── deepspace ├── README.md └── README_cn.md ├── dingtalk ├── README.md ├── README_cn.md ├── assets │ ├── dingtalk.png │ ├── dingtalk_ai_assistant.png │ └── dingtalk_icon.png └── img.png ├── docky-ai ├── README.md ├── README_cn.md └── README_ja.md ├── eechat └── assets │ ├── README.md │ ├── README.zh-CN.md │ ├── logo.png │ ├── logo.svg │ └── resources │ ├── apimodel_dark.png │ ├── apimodel_light.png │ ├── chat.png │ ├── code.png │ ├── localmodel_dark.png │ ├── localmodel_light.png │ ├── math.png │ └── mini.png ├── eino └── assets │ └── logo.png ├── enconvo ├── README.md └── README_cn.md ├── fhe.mind-network ├── README.md └── mind-network-log.png ├── gptbots └── gptbots.png ├── hcfy ├── README.md └── README_cn.md ├── huixiangdou ├── README.md └── README_cn.md ├── immersive_reading_guide ├── README.md └── README_cn.md ├── immersive_translate ├── README.md └── README_cn.md ├── liubai ├── README.md ├── README_cn.md └── assets │ ├── liubai-logo.png │ ├── screenshot01.jpg │ └── screenshot02.jpg ├── llm.nvim ├── README.md └── README_cn.md ├── minuet-ai.nvim ├── README.md └── README_cn.md ├── pal ├── README.md └── README_cn.md ├── promptfoo ├── README.md └── README_cn.md ├── ragflow ├── README.md └── README_cn.md ├── raycast ├── README.md ├── README_cn.md └── assets │ ├── deepseeker-1.png │ ├── deepseeker-2.png │ ├── deepseeker-3.png │ ├── deepseeker-4.png │ ├── deepseeker-5.png │ ├── favicon.png │ └── og-image.png ├── refinereader ├── README.md ├── README_cn.md └── assets │ ├── refinereader-128.png │ ├── refinereader-preview-1.png │ ├── refinereader-preview-2.png │ └── refinereader-preview-3.jpg ├── relingo ├── README.md └── README_cn.md ├── remio └── assets │ └── remio_icon.png ├── rss_translator ├── README.md ├── README_cn.md └── assets │ ├── add_openai.png │ ├── add_translator.png │ └── ui.png ├── ruzhiai_note ├── README.md ├── README_cn.md └── assets │ ├── deepseek_used.jpg │ └── play_store_512.png ├── siri_deepseek_shortcut ├── README.md └── README_cn.md ├── solana-agent-kit ├── README.md └── assets │ └── sendai-logo.png ├── stranslate ├── README.md ├── README_cn.md └── assets │ ├── main.png │ ├── settings_1.png │ ├── settings_2.png │ └── stranslate.svg ├── superagentx ├── README.md └── assets │ └── architecture.png ├── tencent └── hunyuan.png ├── tomemo ├── README.md ├── README_cn.md └── assets │ ├── Integrate.jpg │ ├── app-provider.png │ ├── ui-keyboard.jpg │ ├── ui.jpg │ └── use-deepseek.png ├── translate.js ├── README.md ├── README_cn.md ├── README_ja.md └── assets │ ├── application_properties_demo.png │ ├── html_demo.gif │ ├── icon.png │ ├── site_demo.png │ └── texts_translate_api_demo.png ├── wordware ├── README.md ├── README_cn.md └── assets │ ├── gen.png │ ├── og-image.png │ ├── r1.jpg │ ├── select-deepseek.jpg │ ├── tools.jpg │ └── v3.jpg ├── xhai_browser ├── README.md ├── README_cn.md └── assets │ ├── deepseek3-4_2t.jpg │ ├── deepseek3-4t.jpg │ ├── desktop_512.png │ └── logo_512.png ├── yomo └── README.md ├── zenfeed ├── README.md ├── README_cn.md └── assets │ └── icon.png └── zotero ├── README.md ├── README_cn.md └── assets ├── front.png ├── setting.png ├── setting_cn.png └── zotero-icon.png /.gitignore: -------------------------------------------------------------------------------- 1 | /.idea/ 2 | -------------------------------------------------------------------------------- /docs/16x_prompt/README.md: -------------------------------------------------------------------------------- 1 | # [16x Prompt](https://prompt.16x.engineer/) 2 | 3 | AI Coding with Context Management. 4 | 5 | 16x Prompt helps developers manage source code context and craft prompts for complex coding tasks on existing codebases. 6 | 7 | # UI 8 | 9 | ![image](assets/16x_prompt_ui.png) 10 | 11 | ## Integrate with DeepSeek API 12 | 13 | 1. Click on the model selection button at bottom right 14 | 2. Click on "DeepSeek API" to automatically fill in API Endpoint 15 | 3. Enter model ID, for example `deepseek-chat` (for DeepSeek V3) or `deepseek-reasoner` (for DeepSeek R1) 16 | 4. Enter your API key 17 | 18 | ![image](assets/16x_prompt_integration.png) -------------------------------------------------------------------------------- /docs/16x_prompt/assets/16x_prompt_integration.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/16x_prompt/assets/16x_prompt_integration.png -------------------------------------------------------------------------------- /docs/16x_prompt/assets/16x_prompt_ui.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/16x_prompt/assets/16x_prompt_ui.png -------------------------------------------------------------------------------- /docs/4EVERChat/README.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | # [4EVERChat](https://chat.4everland.org/) 4 | 5 | [4EVERChat](https://chat.4everland.org) is a large language model selection platform that seamlessly integrates hundreds of mainstream LLM models (such as ChatGPT, Deepseek, Grok, etc.). Developers can compare the response performance differences of various models in real-time, accurately identifying the optimal engine for their business needs. The platform requires no API key configuration and is ready to use out of the box. 6 | 7 | Its underlying technology relies on [4EVERLAND AI RPC](https://docs.4everland.org/ai/ai-rpc/quick-start), which not only enables zero-cost switching between hundreds of models through a unified API endpoint but also monitors service status in real-time and automatically activates backup nodes. It dynamically selects model combinations with fast response times and low inference costs, creating an AI development infrastructure that balances stability and cost-effectiveness. 8 | 9 | 10 | 11 | 🔗 12 | 13 | 4EVERChat: https://chat.4everland.org/ 14 | 15 | 4EVERLAND: https://www.4everland.org/ 16 | 17 | ​ 18 | 19 | 20 | 21 | ## UI 22 | 23 | #### 4EVERChat 24 | 25 | 26 | 27 | #### 4EVER AI RPC 28 | 29 | 30 | 31 | 32 | 33 | ## Add Deepseek Model 34 | 35 | 36 | 37 | -------------------------------------------------------------------------------- /docs/4EVERChat/README_cn.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | # [4EVERChat](https://chat.4everland.org/) 4 | 5 | [4EVERChat](https://chat.4everland.org) 是一个大语言模型选型平台，无缝集成数百款主流LLM模型（如ChatGPT、Deepseek、Grok等），开发者可实时对比不同模型的应答性能差异，精准定位最优业务引擎,平台无需配置API密钥即开即用。 6 | 7 | 底层技术依托 [4EVERLAND AI RPC](https://docs.4everland.org/ai/ai-rpc/quick-start)，不仅能通过统一API端点实现百种模型的零成本切换，更会实时监测服务状态并自动启用备用节点，动态选择响应速度快、推理费用低的模型组合，打造兼顾稳定性与性价比的AI开发基础设施。 8 | 9 | 10 | 🔗 11 | 12 | 4EVERChat: https://chat.4everland.org/ 13 | 14 | 4EVERLAND: https://www.4everland.org/ 15 | 16 | ## UI 17 | 18 | #### 4EVERChat 19 | 20 | 21 | 22 | #### 4EVER AI RPC 23 | 24 | 25 | 26 | 27 | 28 | ## 添加Deepseek 模型 29 | 30 | 31 | 32 | -------------------------------------------------------------------------------- /docs/4EVERChat/README_ja.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | # [4EVERChat](https://chat.4everland.org/) 4 | 5 | [4EVERChat](https://chat.4everland.org) は、大規模言語モデル選択プラットフォームであり、数百の主流LLMモデル（ChatGPT、Deepseek、Grokなど）をシームレスに統合しています。開発者は、さまざまなモデルの応答性能の違いをリアルタイムで比較し、ビジネスニーズに最適なエンジンを正確に特定できます。このプラットフォームはAPIキーの設定が不要で、すぐに使用を開始できます。 6 | 7 | その基盤技術は[4EVERLAND AI RPC](https://docs.4everland.org/ai/ai-rpc/quick-start)に依存しており、統一されたAPIエンドポイントを通じて数百のモデルのゼロコスト切り替えを実現するだけでなく、サービス状態をリアルタイムで監視し、バックアップノードを自動的に有効化します。応答速度が速く、推論コストが低いモデル組み合わせを動的に選択し、安定性とコスト効率を両立したAI開発インフラを構築します。 8 | 9 | 10 | 11 | 🔗 12 | 13 | 4EVERChat: https://chat.4everland.org/ 14 | 15 | 4EVERLAND: https://www.4everland.org/ 16 | 17 | ## UI 18 | 19 | #### 4EVERChat 20 | 21 | 22 | 23 | #### 4EVER AI RPC 24 | 25 | 26 | 27 | 28 | 29 | ## Deepseek モデルを追加 30 | 31 | 32 | 33 | -------------------------------------------------------------------------------- /docs/AlphaBot/assets/logo.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/AlphaBot/assets/logo.png -------------------------------------------------------------------------------- /docs/Alpha派/README.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | # Alpha Pai 4 | 5 | AI Research Assistant / The Next-Generation Financial Information Portal Driven by AI.
6 | Proxy for investors to attend meetings and take notes, as well as providing search and Q&A services for financial information and quantitative analysis for investment research. 7 | ## UI 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | -------------------------------------------------------------------------------- /docs/Alpha派/README_cn.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | # Alpha派 4 | 5 | AI投研助理/AI驱动的新一代金融信息入口。代理投资者听会/记纪要，金融投资信息的搜索问答/定量分析等投资研究工作。 6 | 7 | ## UI 8 | 9 | 10 | 11 | 12 | 13 | 14 | -------------------------------------------------------------------------------- /docs/Alpha派/README_ja.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | # Alphaパイ 4 | 5 | AI投資研究エージェント/次世代の金融情報エントリーポイント。投資家を代理して会議に出席し、AI議事録を取るほか、金融投資情報の検索・質問応答やエージェント駆使した定量分析など、投資研究業務を支援します。 6 | 7 | ## UI 8 | 9 | 10 | 11 | 12 | 13 | 14 | -------------------------------------------------------------------------------- /docs/Alpha派/assets/Alpha派-0.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/Alpha派/assets/Alpha派-0.png -------------------------------------------------------------------------------- /docs/Alpha派/assets/Alpha派-1.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/Alpha派/assets/Alpha派-1.png -------------------------------------------------------------------------------- /docs/Alpha派/assets/Alpha派-2.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/Alpha派/assets/Alpha派-2.png -------------------------------------------------------------------------------- /docs/Alpha派/assets/favicon.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/Alpha派/assets/favicon.png -------------------------------------------------------------------------------- /docs/Alpha派/assets/favicon1.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/Alpha派/assets/favicon1.png -------------------------------------------------------------------------------- /docs/Awesome DeepSeek Integrations.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/Awesome DeepSeek Integrations.png -------------------------------------------------------------------------------- /docs/BotSharp/assets/logo.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/BotSharp/assets/logo.png -------------------------------------------------------------------------------- /docs/Casibase/assets/casibase.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/Casibase/assets/casibase.png -------------------------------------------------------------------------------- /docs/ChatDOC/README.md: -------------------------------------------------------------------------------- 1 | # [ChatDOC](https://chatdoc.com) 2 | 3 | ChatDOC is an AI-powered document reading tool equipped with robust traceability features, ensuring that the source of every piece of information is clear and verifiable, helping you efficiently and accurately grasp the core of your documents. 4 | 5 | ## UI 6 | 7 | ![image](./assets/ui.png) 8 | 9 | ## Integrate with DeepSeek API 10 | 11 | ![image](./assets/settings.png) 12 | 13 | -------------------------------------------------------------------------------- /docs/ChatDOC/README_cn.md: -------------------------------------------------------------------------------- 1 | # [ChatDOC](https://chatdoc.com) 2 | 3 | ChatDOC是一款AI文档阅读工具，具备强大的溯源功能，确保每一条信息的来源清晰可查，助您高效、精准地掌握文档核心。 4 | 5 | ## UI 6 | 7 | ![image](./assets/ui.png) 8 | 9 | ## Integrate with DeepSeek API 10 | 11 | ![image](./assets/settings.png) 12 | -------------------------------------------------------------------------------- /docs/ChatDOC/assets/settings.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/ChatDOC/assets/settings.png -------------------------------------------------------------------------------- /docs/ChatDOC/assets/ui.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/ChatDOC/assets/ui.png -------------------------------------------------------------------------------- /docs/Coco AI/README.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | # Coco AI - Connect & Collaborate 6 | 7 | Coco AI is a unified search platform that connects all your enterprise applications and data—Google Workspace, Dropbox, Confluent Wiki, GitHub, and more—into a single, powerful search interface. This repository contains the **COCO App**, built for both **desktop and mobile**. The app allows users to search and interact with their enterprise data across platforms. 8 | 9 | In addition, COCO offers a **Gen-AI Chat for Teams**—imagine **Deepseek** but tailored to your team’s unique knowledge and internal resources. COCO enhances collaboration by making information instantly accessible and providing AI-driven insights based on your enterprise's specific data. 10 | 11 | # UI 12 | ![alt text](assets/coco-deepseek-1.png) 13 | ![alt text](assets/coco-deepseek-2.png) 14 | ![alt text](assets/coco-deepseek-3.png) 15 | ![alt text](assets/coco-deepseek-4.png) 16 | ![alt text](assets/coco-deepseek-5.png) 17 | -------------------------------------------------------------------------------- /docs/Coco AI/README_cn.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | # Coco AI - Connect & Collaborate 6 | 7 | Coco AI 是一个统一的搜索平台，能够将您企业的所有应用程序和数据——包括 Google Workspace、Dropbox、Confluence Wiki、GitHub 等——整合到一个强大而统一的搜索界面中。这个仓库包含了适用于桌面端和移动端的 COCO 应用程序。用户可以通过该应用在不同平台上搜索和操作企业数据。 8 | 9 | 此外，Coco 还提供了一个面向团队的生成式人工智能聊天工具——可以将其想象为专为您的团队量身定制的 Deepseek，它能够与团队独特的知识体系和内部资源相结合。Coco 通过即时提供信息访问和基于企业特定数据的人工智能驱动洞察，增强了团队协作能力。 10 | 11 | # UI 12 | ![alt text](assets/coco-deepseek-1.png) 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2 | 3 |
4 |

DocKit

5 |
6 | 7 | [![Node.js CI](https://github.com/geek-fun/dockit/actions/workflows/node.yml/badge.svg)](https://github.com/geek-fun/dockit/actions/workflows/node.yml) 8 | [![package release](https://github.com/geek-fun/dockit/actions/workflows/release.yml/badge.svg)](https://github.com/geek-fun/dockit/actions/workflows/release.yml) 9 | [![Known Vulnerabilities](https://snyk.io/test/github/geek-fun/dockit/badge.svg)](https://snyk.io/test/github/geek-fun/dockit) 10 | [![codecov](https://codecov.io/gh/geek-fun/dockit/branch/master/graph/badge.svg?token=GqlkEVgMvR)](https://codecov.io/gh/geek-fun/dockit) 11 | [![GitHub version](https://badge.fury.io/gh/geek-fun%2Fdockit.svg)](https://badge.fury.io/gh/geek-fun%2Fdockit) 12 | [![License](https://img.shields.io/badge/License-Apache_2.0-blue.svg)](https://opensource.org/licenses/Apache-2.0) 13 | 14 | 15 |
16 | 17 | 18 | [DocKit](https://dockit.geekfun.club/) is an AI powered desktop GUI client designed for NoSQL database, support Elasticsearch and OpenSearch across Mac, windows and Linux. By integrating with large models like DeepSeek, DocKit can help developers to write complex DSL queries, and provide a better experience for data management and analysis. 19 | 20 | 21 | 22 | ## Client 23 | ![client UI](./assets/client-ui.png) 24 | 25 | ## Feature 26 | 27 | DocKit offers a range of features to suit your specific needs: 28 | 29 | - **User-Friendly Interface**: Navigate through your Elasticsearch/OpenSearch server with ease using DocKit's intuitive interface. 30 | - **Advanced Search Capabilities**: Perform complex searches and analyze your data efficiently. 31 | - **Cross-Platform Support**: Available for Mac, Windows, and Linux, ensuring compatibility with your operating system. 32 | - **Open-Source**: DocKit is an open-source project, allowing for community contributions and continuous improvement. 33 | - **Multiple Server Support**: Connect to multiple Elasticsearch/OpenSearch servers simultaneously, streamlining your workflow. 34 | - **AI-Powered Search**: Utilize AI-powered search capabilities to enhance your data analysis and visualization. 35 | - **Dark Mode Support**: DocKit offers a dark mode to protect your eyes and improve productivity. 36 | - **Multi-Window Support**: DocKit supports multi-window operations, allowing you to view and edit multiple indices and documents simultaneously. 37 | - **Multi-Language Support**: DocKit provides multiple language versions, ensuring ease of use for users worldwide. 38 | - **Cluster Management and Monitoring**: DocKit offers cluster management and monitoring features, helping you easily manage and monitor the health, nodes, shards, and indices of your Elasticsearch clusters. 39 | 40 | ## Roadmap 41 | 42 | - [ ] MongoDB support 43 | - [ ] DynamoDB support 44 | - [ ] TBC 45 | 46 | ## Installation 47 | 48 | Available to download for free from [here](https://github.com/geek-fun/dockit/releases). 49 | 50 | ## Build Guidelines 51 | 52 | ### Prerequisites 53 | 54 | * Node.js >= 20 55 | * NPM >= 10 56 | 57 | ### Clone the code 58 | 59 | ```bash 60 | git clone https://github.com/geek-fun/dockit.git --depth=1 61 | ``` 62 | 63 | ### Install dependencies 64 | 65 | ```bash 66 | npm install 67 | ``` 68 | 69 | ### Compile and run 70 | 71 | ```bash 72 | npm run tauri dev 73 | ``` 74 | ## About 75 | ### Wechat Official Account 76 | wechat official account qr code 77 | 78 | ### Sponsor 79 | If this project helpful for you, feel free to buy me a cup of coffee ☕️. 80 | 81 | * Github Sponsor 82 | [![Sponsor](https://img.shields.io/badge/-Sponsor-fafbfc?logo=GitHub-Sponsors)](https://github.com/sponsors/[geek-fun]) 83 | 84 | * Wechat Sponsor 85 | wechat sponsor qr code 86 | -------------------------------------------------------------------------------- /docs/DocKit/README_cn.md: -------------------------------------------------------------------------------- 1 |
2 | 3 |
4 |

DocKit

5 |
6 | 7 | [![Node.js CI](https://github.com/geek-fun/dockit/actions/workflows/node.yml/badge.svg)](https://github.com/geek-fun/dockit/actions/workflows/node.yml) 8 | [![package release](https://github.com/geek-fun/dockit/actions/workflows/release.yml/badge.svg)](https://github.com/geek-fun/dockit/actions/workflows/release.yml) 9 | [![Known Vulnerabilities](https://snyk.io/test/github/geek-fun/dockit/badge.svg)](https://snyk.io/test/github/geek-fun/dockit) 10 | [![codecov](https://codecov.io/gh/geek-fun/dockit/branch/master/graph/badge.svg?token=GqlkEVgMvR)](https://codecov.io/gh/geek-fun/dockit) 11 | [![GitHub version](https://badge.fury.io/gh/geek-fun%2Fdockit.svg)](https://badge.fury.io/gh/geek-fun%2Fdockit) 12 | [![License](https://img.shields.io/badge/License-Apache_2.0-blue.svg)](https://opensource.org/licenses/Apache-2.0) 13 | 14 | 15 |
16 | Here's the translated `README_cn.md` file: 17 | 18 | 19 | [DocKit](https://dockit.geekfun.club/) 是一个AI驱动的桌面客户端，专为NoSQL数据库设计，支持Mac、Windows和Linux上的Elasticsearch和OpenSearch。通过集成DeepSeek等大型模型，DocKit可以帮助开发者编写复杂的DSL查询，并为数据管理和分析提供更好的体验。 20 | 21 | 22 | 23 | ## 客户端界面 24 | ![客户端界面](./assets/client-ui.png) 25 | 26 | ## 功能特点 27 | 28 | DocKit提供多种功能以满足您的特定需求： 29 | 30 | - **用户友好界面**：通过DocKit直观的界面轻松浏览您的Elasticsearch/OpenSearch服务器。 31 | - **高级搜索功能**：高效执行复杂搜索并分析您的数据。 32 | - **跨平台支持**：适用于Mac、Windows和Linux，确保与您的操作系统兼容。 33 | - **开源**：DocKit是一个开源项目，允许社区贡献和持续改进。 34 | - **多服务器支持**：同时连接多个Elasticsearch/OpenSearch服务器，简化您的工作流程。 35 | - **AI驱动搜索**：利用AI驱动的搜索功能增强数据分析和可视化。 36 | - **暗黑模式支持**：DocKit提供暗黑模式以保护您的眼睛并提高生产力。 37 | - **多窗口支持**：DocKit支持多窗口操作，允许您同时查看和编辑多个索引和文档。 38 | - **多语言支持**：DocKit提供多种语言版本，确保全球用户易于使用。 39 | - **集群管理与监控**：DocKit提供集群管理和监控功能，帮助您轻松管理和监控Elasticsearch集群的健康状况、节点、分片和索引。 40 | 41 | ## 路线图 42 | 43 | - [ ] MongoDB支持 44 | - [ ] DynamoDB支持 45 | - [ ] 待定 46 | 47 | ## 安装 48 | 49 | 可以从[这里](https://github.com/geek-fun/dockit/releases)免费下载。 50 | 51 | ## 构建指南 52 | 53 | ### 前提条件 54 | 55 | * Node.js >= 20 56 | * NPM >= 10 57 | 58 | ### 克隆代码 59 | 60 | ```bash 61 | git clone https://github.com/geek-fun/dockit.git --depth=1 62 | ``` 63 | 64 | ### 安装依赖 65 | 66 | ```bash 67 | npm install 68 | ``` 69 | 70 | ### 编译和运行 71 | 72 | ```bash 73 | npm run tauri dev 74 | ``` 75 | ## 关于 76 | ### 微信公众号 77 | 微信公众号二维码 78 | 79 | ### 赞助 80 | 如果这个项目对您有帮助，欢迎给我买杯咖啡 ☕️。 81 | 82 | * Github赞助 83 | [![Sponsor](https://img.shields.io/badge/-Sponsor-fafbfc?logo=GitHub-Sponsors)](https://github.com/sponsors/[geek-fun]) 84 | 85 | * 微信赞助 86 | 微信赞助二维码 87 | -------------------------------------------------------------------------------- /docs/DocKit/assets/client-ui.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/DocKit/assets/client-ui.png -------------------------------------------------------------------------------- /docs/DocKit/assets/dockit.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/DocKit/assets/dockit.png -------------------------------------------------------------------------------- /docs/DocKit/assets/wechat_official.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/DocKit/assets/wechat_official.png -------------------------------------------------------------------------------- /docs/DocKit/assets/wechat_ponsor.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/DocKit/assets/wechat_ponsor.jpg -------------------------------------------------------------------------------- /docs/Geneplore AI/README.md: -------------------------------------------------------------------------------- 1 | # [Geneplore AI](https://geneplore.com/bot) 2 | 3 | ## Geneplore AI is building the world's easiest way to use AI - Use 50+ models, all on Discord 4 | 5 | Chat with the all-new Deepseek v3, GPT-4o, Claude 3 Opus, LLaMA 3, Gemini Pro, FLUX.1, and ChatGPT with **one bot**. Generate videos with Stable Diffusion Video, and images with the newest and most popular models available. 6 | 7 | Don't like how the bot responds? Simply change the model in *seconds* and continue chatting like normal, without adding another bot to your server. No more fiddling with API keys and webhooks - every model is completely integrated into the bot. 8 | 9 | **NEW:** Try the most powerful open AI model, Deepseek v3, for free with our bot. Simply type /chat and select Deepseek in the model list. 10 | 11 | ![image](https://github.com/user-attachments/assets/14db7e3c-c2c7-46d7-9fe1-5a5d1e3fc856) 12 | 13 | Use the bot trusted by over 60,000 servers and hundreds of paying subscribers, without the hassle of multiple $20/month subscriptions and complicated programming. 14 | 15 | https://geneplore.com 16 | 17 | © 2025 Geneplore AI, All Rights Reserved. 18 | -------------------------------------------------------------------------------- /docs/HIX.AI/assets/logo.svg: -------------------------------------------------------------------------------- 1 | 2 | -------------------------------------------------------------------------------- /docs/Lulu Translate/README.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | # [Lulu Translate](https://www.eudic.net/v4/en/app/plugins) 4 | 5 | The plugin provides mouse selection translation, paragraph-by-paragraph comparison translation, and PDF document translation functionalities. It can utilize various translation engines, such as DeepSeek AI, Bing, GPT, Google, etc. 6 | 7 | ## UI 8 | 9 | ![image](https://static.eudic.net/web/homepage/en_pluginsWelcome_1908.png) 10 | ![image](https://static.eudic.net/web/homepage/en_pluginsWelcome_19003.png) 11 | 12 | ## Configure DeepSeek API 13 | 14 | ![image](assets/ScreenShot-2024-07-05-at-06.21.45.png) 15 | -------------------------------------------------------------------------------- /docs/Lulu Translate/README_cn.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | # [欧路翻译](https://www.eudic.net/v4/en/app/plugins) 4 | 5 | 提供鼠标划词搜索、逐段对照翻译、PDF 文献翻译功能。可以使用支持 DeepSeek AI, Bing、GPT、Google 等多种翻译引擎。 6 | 7 | ## UI 8 | 9 | ![image](https://static.eudic.net/web/homepage/en_pluginsWelcome_1908.png) 10 | ![image](https://static.eudic.net/web/homepage/en_pluginsWelcome_19003.png) 11 | 12 | ## 配置 DeepSeek API 13 | 14 | ![image](assets/ScreenShot-2024-07-05-at-06.21.45.png) 15 | -------------------------------------------------------------------------------- /docs/Lulu Translate/assets/ScreenShot-2024-07-05-at-06.21.45.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/Lulu Translate/assets/ScreenShot-2024-07-05-at-06.21.45.png -------------------------------------------------------------------------------- /docs/Ncurator/README.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | # [Ncurator](https://www.ncurator.com) 4 | 5 | Knowledge Base AI Q&A Assistant - 6 | Let AI help you organize and analyze knowledge 7 | 8 | ## UI 9 | 10 | 11 | ## Integrate with Deepseek API 12 | -------------------------------------------------------------------------------- /docs/Ncurator/README_cn.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | # [Ncurator](https://www.ncurator.com) 4 | 5 | 知识库AI问答助手-让AI帮助你整理与分析知识 6 | 7 | ## UI 8 | 9 | 10 | ## 配置 Deepseek API 11 | -------------------------------------------------------------------------------- /docs/Ncurator/assets/logo.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/Ncurator/assets/logo.png -------------------------------------------------------------------------------- /docs/Ncurator/assets/screenshot1.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/Ncurator/assets/screenshot1.png -------------------------------------------------------------------------------- /docs/Ncurator/assets/screenshot2.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/Ncurator/assets/screenshot2.png -------------------------------------------------------------------------------- /docs/Ncurator/assets/screenshot3.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/Ncurator/assets/screenshot3.png -------------------------------------------------------------------------------- /docs/OpenXLab/migo/logo.svg: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | 20 | 21 | 22 | 23 | 24 | 25 | 26 | 27 | 28 | 29 | 30 | 31 | -------------------------------------------------------------------------------- /docs/PopAi/assets/logo.svg: -------------------------------------------------------------------------------- 1 | 2 | 3 | 6 | 9 | -------------------------------------------------------------------------------- /docs/SiYuan/README.md: -------------------------------------------------------------------------------- 1 | # README 2 | 3 | ‍ 4 | 5 | ​![image](https://b3log.org/images/brand/siyuan-128.png)​ 6 | 7 | --- 8 | 9 | SiYuan is a privacy-first personal knowledge management system that supports complete offline usage, as well as end-to-end encrypted data sync. 10 | 11 | Fuse blocks, outlines, and bidirectional links to refactor your thinking. 12 | 13 | ‍ 14 | 15 | ## STEP1. 16 | 17 | Apply a token from [deepseek open platform](https://platform.deepseek.com/) 18 | 19 | ‍ 20 | 21 | ## STEP 2 22 | 23 | Enter the Settings interface 24 | 25 | ​![image](assets/image-20250122163007-hkuruoe.png)​ 26 | 27 | ‍ 28 | 29 | ## STEP 3 30 | 31 | Navigate to the "AI" tab in Settings and configure the following: 32 | 33 | * Enter your DeepSeek API key in the text field 34 | * Configure the endpoint URL and model details: 35 | 36 | * URI: `https://api.deepseek.com/v1/`​ 37 | * Model: `deepseek-chat`​ 38 | * Temperature: 1.3 39 | 40 | ​![image](assets/image-20250122162241-32a4oma.png)​ 41 | 42 | ‍ 43 | 44 | how to use: 45 | 46 | ‍ 47 | 48 | ​![image](assets/image-20250122162425-wlsgw0u.png)​ 49 | 50 | ‍ 51 | -------------------------------------------------------------------------------- /docs/SiYuan/README_cn.md: -------------------------------------------------------------------------------- 1 | # README_cn 2 | 3 | ​![image](https://b3log.org/images/brand/siyuan-128.png)​ 4 | 5 | --- 6 | 7 | 思源笔记是一款注重隐私的个人知识管理系统，支持完全离线使用，并提供端到端加密的数据同步功能。通过融合块、大纲和双向链接，重构你的思维方式。 8 | 9 | ## 第一步 10 | 11 | 从[深度求索开放平台](https://platform.deepseek.com/)申请一个令牌。 12 | 13 | ## 第二步 14 | 15 | 进入设置界面 16 | 17 | ​![image](assets/image-20250122163007-hkuruoe.png)​ 18 | 19 | ## 第三步 20 | 21 | 在设置中导航到“AI”选项卡并进行以下配置： 22 | 23 | * 在文本框中输入你的DeepSeek API密钥 24 | * 配置端点URL和模型详细信息： 25 | 26 | * URI: `https://api.deepseek.com/v1/`​ 27 | * 模型: `deepseek-chat`​ 28 | * 温度: 1.3 29 | 30 | ​![image](assets/image-20250122162241-32a4oma.png)​ 31 | 32 | 如何使用： 33 | 34 | ​![image](assets/image-20250122162425-wlsgw0u.png)​ 35 | 36 | ‍ 37 | -------------------------------------------------------------------------------- /docs/SiYuan/assets/image-20250122162241-32a4oma.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/SiYuan/assets/image-20250122162241-32a4oma.png -------------------------------------------------------------------------------- /docs/SiYuan/assets/image-20250122162425-wlsgw0u.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/SiYuan/assets/image-20250122162425-wlsgw0u.png -------------------------------------------------------------------------------- /docs/SiYuan/assets/image-20250122163007-hkuruoe.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/SiYuan/assets/image-20250122163007-hkuruoe.png -------------------------------------------------------------------------------- /docs/SwiftChat/README.md: -------------------------------------------------------------------------------- 1 | # [SwiftChat](https://github.com/aws-samples/swift-chat) 2 | 3 | [SwiftChat](https://github.com/aws-samples/swift-chat) is a lightning-fast, cross-platform AI chat application built with React Native. It delivers native performance on Android, iOS, iPad, Android tablets and macOS. Features include real-time streaming chat, rich Markdown support (tables, code blocks, LaTeX), AI image generation, customizable system prompts, quick model switching, and multimodal capabilities. Supports multiple AI providers including DeepSeek, Amazon Bedrock, Ollama and OpenAI Compatible Models. The minimalist UI design and optimized architecture ensure instant launch and responsive interactions across all platforms. 4 | 5 | ## UI 6 | 7 | ![UI](./assets/promo.png) 8 | 9 | ## Integrate with Deepseek API 10 | 11 | ![Mac Settings](./assets/settings.png) 12 | 13 | ## Using System Prompt with DeepSeek 14 | 15 | 16 | 17 | For more information, Please refer to [SwiftChat GitHub](https://github.com/aws-samples/swift-chat) 18 | -------------------------------------------------------------------------------- /docs/SwiftChat/README_cn.md: -------------------------------------------------------------------------------- 1 | # [SwiftChat](https://github.com/aws-samples/swift-chat) 2 | 3 | [SwiftChat](https://github.com/aws-samples/swift-chat) 是一个基于 React Native 构建的闪电般快速的跨平台 AI 聊天应用。它在 Android、iOS、iPad、Android 平板电脑和 macOS 上都能提供原生性能体验。功能包括实时流式聊天、丰富的 Markdown 支持（表格、代码块、LaTeX）、AI 图像生成、可自定义系统提示词、快速模型切换，以及多模态能力。支持多个 AI 提供商，包括 DeepSeek、Amazon Bedrock、Ollama 和 OpenAI API 兼容的模型。极简的 UI 设计和优化的架构确保了在所有平台上都能实现即时启动和流畅的交互体验。 4 | 5 | ## 界面展示 6 | 7 | ![UI](./assets/promo.png) 8 | 9 | ## 集成 Deepseek API 10 | 11 | ![Mac Settings](./assets/settings.png) 12 | 13 | ## 使用 DeepSeek 的系统提示词 14 | 15 | 16 | 更多信息请访问 [SwiftChat GitHub](https://github.com/aws-samples/swift-chat) 17 | -------------------------------------------------------------------------------- /docs/SwiftChat/assets/favicon.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/SwiftChat/assets/favicon.png -------------------------------------------------------------------------------- /docs/SwiftChat/assets/promo.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/SwiftChat/assets/promo.png -------------------------------------------------------------------------------- /docs/SwiftChat/assets/settings.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/SwiftChat/assets/settings.png -------------------------------------------------------------------------------- /docs/SwiftChat/assets/system-prompt.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/SwiftChat/assets/system-prompt.png -------------------------------------------------------------------------------- /docs/TigerGPT/assets/logo.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/TigerGPT/assets/logo.png -------------------------------------------------------------------------------- /docs/Typral/README.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | # [Typral](https://www.typral.com) 4 | 5 | Fast AI writer assistant - Let AI help you quickly improve article, paper, text... 6 | 7 | ## UI 8 | 9 | 10 | ## 配置 Deepseek API 11 | -------------------------------------------------------------------------------- /docs/Typral/README_cn.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | # [Typral](https://www.typral.com) 4 | 5 | 超快的AI写作助手 - 让AI帮你快速优化日报,文章,文本等等... 6 | 7 | ## UI 8 | 9 | 10 | ## 配置 Deepseek API 11 | -------------------------------------------------------------------------------- /docs/Typral/assets/screenshot1.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/Typral/assets/screenshot1.png -------------------------------------------------------------------------------- /docs/Typral/assets/screenshot2.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/Typral/assets/screenshot2.png -------------------------------------------------------------------------------- /docs/UOS AI/README.md: -------------------------------------------------------------------------------- 1 | ___ 2 | 3 | ![image](assets/uos-ai-assistant.svg) 4 | 5 | ___ 6 | 7 | # [UOS AI](https://www.deepin.org) 8 | 9 | UOS AI is a powerful AI assistant application within the Deepin operating system. 10 | 11 | It offers unique cross-application capabilities, enabling deep integration with built-in email and browser applications, providing you with contextualized AI capabilities. 12 | 13 | # UI 14 | 15 | ![image](assets/ui-en.png) 16 | 17 | ## Integrate with DeepSeek API 18 | 19 | ## Default Option 20 | 21 | 1. Open the "Settings" option in UOS AI, select "DeepSeek-R1" in the "Model Configuration" under "Online model-Add" to enter the UOS AI model addition interface. 22 | 23 | 2. Select "DeepSeek-R1" in the "LLM". 24 | 25 | 3. Fill in any name in the "Account". 26 | 27 | 4. Enter your API key in the "APIKey". 28 | 29 | ![image](assets/r1-en.png) 30 | 31 | ## Custom Option 32 | 33 | 1. Select "Custom" in the "LLM". 34 | 2. Enter any name you like in the "Account". 35 | 3. Enter your API key in the "APIKey". 36 | 4. Add the name of the model you want to use in the "Model Name". 37 | - For DeepSeek-V3, enter: deepseek-chat 38 | - For DeepSeek-R1, enter: deepseek-reasoner 39 | 5. Enter the following request address to "Domain": https://api.deepseek.com/chat/completions 40 | 41 | ![image](assets/custom-v3-en.png) 42 | -------------------------------------------------------------------------------- /docs/UOS AI/README_cn.md: -------------------------------------------------------------------------------- 1 | ___ 2 | 3 | ![image](assets/uos-ai-assistant.svg) 4 | 5 | ___ 6 | 7 | # [UOS AI](https://www.deepin.org) 8 | 9 | UOS AI是Deepin操作系统中功能强大的AI助手应用。 10 | 11 | 它具有独特的跨应用能力，可以深度集成到系统自带的邮箱、浏览器中，为您提供场景化的AI能力。 12 | 13 | # 界面 14 | 15 | ![image](assets/ui.png) 16 | 17 | ## 接入DeepSeek API 18 | 19 | ## 默认添加 20 | 21 | 1. 打开 UOS AI 的「设置」选项，在「模型配置」中选择「在线模型-添加」，进入UOS AI的添加模型界面。 22 | 23 | 2. 在「模型类型」中选择「DeepSeek-R1」。 24 | 25 | 3. 在「账号名称」中随意填写名称。 26 | 27 | 4. 在「APIKey」中填写您的API key。 28 | 29 | ![image](assets/r1.png) 30 | 31 | ## 自定义添加 32 | 33 | 1. 在「模型类型」中选择「自定义」。 34 | 2. 在「账号名称」中随意填写名称。 35 | 3. 在「APIKey」中填写您的API key。 36 | 4. 「模型名」添加要使用的模型名称。 37 | - DeepSeek-V3填写：deepseek-chat 38 | - DeepSeek-R1填写：deepseek-reasoner 39 | 40 | 5. 「请求地址」填写：https://api.deepseek.com/chat/completions 41 | 42 | ![image](assets/custom-v3.png) 43 | -------------------------------------------------------------------------------- /docs/UOS AI/assets/custom-v3-en.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/UOS AI/assets/custom-v3-en.png -------------------------------------------------------------------------------- /docs/UOS AI/assets/custom-v3.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/UOS AI/assets/custom-v3.png -------------------------------------------------------------------------------- /docs/UOS AI/assets/r1-en.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/UOS AI/assets/r1-en.png -------------------------------------------------------------------------------- /docs/UOS AI/assets/r1.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/UOS AI/assets/r1.png -------------------------------------------------------------------------------- /docs/UOS AI/assets/ui-en.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/UOS AI/assets/ui-en.png -------------------------------------------------------------------------------- /docs/UOS AI/assets/ui.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/UOS AI/assets/ui.png -------------------------------------------------------------------------------- /docs/_logo svg/AVATARS.svg: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /docs/_logo svg/COLORS.svg: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /docs/_logo svg/ICON.svg: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /docs/_logo svg/TEXT.svg: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /docs/_logo svg/guidelines.md: -------------------------------------------------------------------------------- 1 | # DeepSeek品牌素材使用规范 2 | 我们为使用和分发DeepSeek模型、API的开发者提供了DeepSeek官方品牌素材，方便开发者在对外提供服务中展示和使用。开发者在使用DeepSeek的品牌素材前，请了解： 3 | - 请确保 准确、清晰、完整及美观地 使用DeepSeek的素材内容，避免使用错误、仿冒或低质的素材内容，且不得随意修改。 4 | - 请在 实际接入DeepSeek的模型或API 的前提下使用，不得故意虚假宣传、诱导误认与DeepSeek有合作。 5 | - 不得利用DeepSeek的素材内容，故意冒充DeepSeek官方，或通过歧义、暗示等诱导误认为是DeepSeek官方。 6 | - 使用品牌素材时，请遵守 商标权、著作权等知识产权 的法律要求。 7 | 对于不符合规范的使用方，我们有权撤销使用DeepSeek品牌素材的许可。 8 | 9 | --- 10 | # DeepSeek Brand Asset Usage Guidelines 11 | We provide official DeepSeek brand assets for developers who use or distribute DeepSeek models or APIs, making it convenient for them to showcase and utilize these assets when offering services. Before using DeepSeek's brand assets, developers should understand: 12 | - Please ensure the accurate, clear, complete, and aesthetically pleasing use of DeepSeek's asset content. Avoid using incorrect, imitated, or low-quality content, and do not modify it arbitrarily. 13 | - Please use the assets only when actually integrating DeepSeek's models or APIs. Do not intentionally make false claims or mislead others into believing there is a partnership with DeepSeek. 14 | - Do not use DeepSeek's asset content to intentionally impersonate DeepSeek's official channels, or to mislead through ambiguity or implication that you are DeepSeek's official representative. 15 | - When using brand assets, please comply with legal requirements regarding intellectual property rights such as trademarks and copyrights. 16 | For those who do not comply with these guidelines, we reserve the right to revoke the permission to use DeepSeek brand assets. -------------------------------------------------------------------------------- /docs/agentUniverse/README.md: -------------------------------------------------------------------------------- 1 | ___ 2 | 3 | 4 | ___ 5 | 6 | # [agentUniverse](https://github.com/antgroup/agentUniverse) 7 | 8 | agentUniverse is a multi-agent collaboration framework designed for complex business scenarios. It offers rapid and user-friendly development capabilities for LLM agent applications, with a focus on mechanisms such as agent collaborative scheduling, autonomous decision-making, and dynamic feedback. The framework originates from Ant Group's real-world business practices in the financial industry. In June 2024, agentUniverse achieved full integration support for the DeepSeek series of models. 9 | 10 | ## Concepts 11 | 12 | 13 | 14 | ## Integrate with Deepseek API 15 | 16 | ### Configure via Python code 17 | ```python 18 | import os 19 | os.environ['DEEPSEEK_API_KEY'] = 'sk-***' 20 | os.environ['DEEPSEEK_API_BASE'] = 'https://xxxxxx' 21 | ``` 22 | ### Configure via the configuration file 23 | In the custom_key.toml file under the config directory of the project, add the configuration: 24 | ```toml 25 | DEEPSEEK_API_KEY="sk-******" 26 | DEEPSEEK_API_BASE="https://xxxxxx" 27 | ``` 28 | 29 | For more details, please refer to the [Documentation: DeepSeek Integration](https://github.com/antgroup/agentUniverse/blob/master/docs/guidebook/en/In-Depth_Guides/Components/LLMs/DeepSeek_LLM_Use.md) 30 | 31 | -------------------------------------------------------------------------------- /docs/agentUniverse/README_cn.md: -------------------------------------------------------------------------------- 1 | ___ 2 | 3 | 4 | ___ 5 | 6 | # [agentUniverse](https://github.com/antgroup/agentUniverse) 7 | 8 | agentUniverse 是一个面向复杂业务场景设计的多智能体协作框架。其提供了快速易用的大模型智能体应用搭建能力，并着重于提供智能体协同调度、自主决策与动态反馈等机制，其源自蚂蚁集团在金融领域的真实业务实践沉淀。agentUniverse于2024年6月全面接入支持deepseek系列模型。 9 | 10 | ## 设计理念 11 | 12 | 13 | 14 | ## 在项目中使用 deepseek API 15 | 16 | ### 通过python代码配置 17 | 必须配置：DEEPSEEK_API_KEY 18 | 可选配置：DEEPSEEK_API_BASE 19 | ```python 20 | import os 21 | os.environ['DEEPSEEK_API_KEY'] = 'sk-***' 22 | os.environ['DEEPSEEK_API_BASE'] = 'https://xxxxxx' 23 | ``` 24 | ### 通过配置文件配置 25 | 在项目的config目录下的custom_key.toml当中，添加配置： 26 | ```toml 27 | DEEPSEEK_API_KEY="sk-******" 28 | DEEPSEEK_API_BASE="https://xxxxxx" 29 | ``` 30 | 31 | 更多使用详情可参阅[官方文档:DeepSeek接入使用](https://github.com/antgroup/agentUniverse/blob/master/docs/guidebook/zh/In-Depth_Guides/%E7%BB%84%E4%BB%B6%E5%88%97%E8%A1%A8/%E6%A8%A1%E5%9E%8B%E5%88%97%E8%A1%A8/DeepSeek%E4%BD%BF%E7%94%A8.md) 32 | 33 | -------------------------------------------------------------------------------- /docs/agentUniverse/README_ja.md: -------------------------------------------------------------------------------- 1 | ___ 2 | 3 | 4 | ___ 5 | 6 | # [agentUniverse](https://github.com/antgroup/agentUniverse) 7 | 8 | agentUniverseは、複雑なビジネスシーン向けに設計されたマルチエージェント協調フレームワークです。迅速で使いやすい大規模モデルのインテリジェントエージェントアプリケーション構築能力を提供し、特にエージェント間の協調スケジューリング、自律的な意思決定、動的なフィードバックなどのメカニズムに重点を置いています。これは、Ant Groupの金融業界における実践的なビジネス経験に基づいて開発されました。agentUniverseは、2024年6月にDeepSeekシリーズモデルのサポートを全面的に統合しました。 9 | 10 | ## 概念 11 | 12 | 13 | 14 | ## Deepseek APIと統合する 15 | 16 | ### Pythonコードを使って設定する 17 | ```python 18 | import os 19 | os.environ['DEEPSEEK_API_KEY'] = 'sk-***' 20 | os.environ['DEEPSEEK_API_BASE'] = 'https://xxxxxx' 21 | ``` 22 | ### 設定ファイルを使って設定する 23 | プロジェクトのconfigディレクトリ内のcustom_key.tomlファイルに、設定を追加します： 24 | ```toml 25 | DEEPSEEK_API_KEY="sk-******" 26 | DEEPSEEK_API_BASE="https://xxxxxx" 27 | ``` 28 | 29 | 詳細についてはドキュメントを参照してください - [Documentation: DeepSeek Integration](https://github.com/antgroup/agentUniverse/blob/master/docs/guidebook/en/In-Depth_Guides/Components/LLMs/DeepSeek_LLM_Use.md). 30 | 31 | -------------------------------------------------------------------------------- /docs/agentUniverse/assets/agentUniverse_logo.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/agentUniverse/assets/agentUniverse_logo.jpg -------------------------------------------------------------------------------- /docs/agentUniverse/assets/agentUniverse_logo_s.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/agentUniverse/assets/agentUniverse_logo_s.png -------------------------------------------------------------------------------- /docs/aimlapi/aimlapi_logo.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/aimlapi/aimlapi_logo.png -------------------------------------------------------------------------------- /docs/aingdesk/README.md: -------------------------------------------------------------------------------- 1 | # AingDesk 2 | 3 | [简体中文](README.zh_cn.md) 4 | 5 | 🚀 **Brief Introduction in One Sentence** 6 | 7 | Deploy DeepSeek or other AI models on your computer with just one click. 8 | 9 | ✅ **Core Features** 10 | 11 | - Deploy DeepSeek or other AI models with one click. 12 | ![image](.github/assets/img/1_en.png) 13 | 14 | 15 | - Simple to operate with a user-friendly interface. 16 | ![image](https://github.com/user-attachments/assets/2c7a419b-aeaa-4b5a-8c80-6bee720d366c) 17 | 18 | - Multi-source knowledge base support for enhanced data management. 19 | ![image](https://github.com/user-attachments/assets/51a9dc96-ba1c-419d-9d27-1be6268778da) 20 | 21 | 22 | - Built-in chat interface for seamless interaction. 23 | - Share your projects with friends online. 24 | - Support for web search and dynamic data fetching. 25 | 26 | 27 | ✨ **Technical Highlights** 28 | 29 | - Visual one-click deployment for hassle-free setup. 30 | - Modular architecture for extensibility and customization. 31 | - Optimized for performance on both local and cloud environments. 32 | 33 | 🎯 **Development Plan** 34 | 35 | - Local deployment of text-to-image hybrid models for creative workflows. 36 | 37 | 📥 **Quick Installation** 38 | 39 | - [Download from the official website.](https://www.aingdesk.com/en/download.html) 40 | - [Download from GitHub.](https://github.com/aingdesk/AingDesk/releases) 41 | - [Download from CNB.](https://cnb.cool/aingdesk/AingDesk/-/releases/) 42 | -------------------------------------------------------------------------------- /docs/aingdesk/README.zh_cn.md: -------------------------------------------------------------------------------- 1 | **🚀一句话简介** 2 | 3 | 一键把DeepSeek或其他AI模型部署在你电脑 4 | 5 | **✅核心功能** 6 | 7 | - 一键部署DeepSeek或其他AI模型 8 | ![image](assets/img/1_zh.png) 9 | 10 | - 多数据源知识库支持 11 | ![alt text](assets/img/2_zh.png) 12 | 13 | - 支持第三方API接口 14 | ![alt text](assets/img/3_zh.png) 15 | 16 | - 操作简单 17 | - 内置聊天界面 18 | - 可在线分享给朋友使用 19 | - 支持网络搜索和动态数据获取 20 | 21 | **✨技术亮点** 22 | 23 | - 可视化一键部署 24 | 25 | 🎯 **开发计划** 26 | 27 | - 智能体 28 | - 本地部署文生图混合模型 29 | 30 | **📥快速安装** 31 | 32 | - [官网下载](https://www.aingdesk.com/zh/download.html) 33 | - [从 CNB 下载](https://cnb.cool/aingdesk/AingDesk/-/releases/) 34 | - [从 Github 下载](https://github.com/aingdesk/AingDesk/releases) 35 | -------------------------------------------------------------------------------- /docs/aingdesk/assets/img/1_en.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/aingdesk/assets/img/1_en.png -------------------------------------------------------------------------------- /docs/aingdesk/assets/img/1_zh.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/aingdesk/assets/img/1_zh.png -------------------------------------------------------------------------------- /docs/aingdesk/assets/img/2_zh.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/aingdesk/assets/img/2_zh.png -------------------------------------------------------------------------------- /docs/aingdesk/assets/img/3_zh.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/aingdesk/assets/img/3_zh.png -------------------------------------------------------------------------------- /docs/aingdesk/assets/logo.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/aingdesk/assets/logo.png -------------------------------------------------------------------------------- /docs/anda/README.md: -------------------------------------------------------------------------------- 1 | # `Anda` 2 | 3 | > 🤖 A Rust framework for AI agent development, designed to build a highly composable, autonomous, and perpetually memorizing network of AI agents. 4 | 5 | **Anda Source Code**: [https://github.com/ldclabs/anda](https://github.com/ldclabs/anda) 6 | 7 | **AI Agent Example**: [https://x.com/AndaICP](https://x.com/AndaICP) 8 | 9 | Anda utilizes DeepSeek as its primary LLM service provider to deliver robust thinking and decision-making capabilities for the agent. 10 | 11 | ## 🤖 Introduction 12 | 13 | `Anda` is an innovative framework for intelligent agent development, designed to build a highly composable, autonomous, and perpetually memorizing network of AI agents. By connecting agents across various industries, Anda aims to create a super AGI system, advancing artificial intelligence to new heights. 14 | 15 | ![Anda Diagram](./assets/anda_diagram.webp) 16 | 17 | ### ✨ Key Features 18 | 19 | 1. **Composability**: 20 | Anda agents specialize in solving domain-specific problems and can flexibly combine with other agents to tackle complex tasks. When a single agent cannot solve a problem alone, it collaborates with others to form a robust problem-solving network. This modular design allows Anda to adapt to diverse needs. 21 | 22 | 2. **Simplicity**: 23 | Anda emphasizes simplicity and ease of use, enabling developers to quickly build powerful and efficient agents. Non-developers can also create their own agents through simple configurations, lowering the technical barrier and inviting broader participation in agent development and application. 24 | 25 | 3. **Trustworthiness**: 26 | Anda agents operate within a decentralized trusted execution environment (dTEE) based on Trusted Execution Environments (TEEs), ensuring security, privacy, and data integrity. This architecture provides a highly reliable infrastructure for agent operations, safeguarding data and computational processes. 27 | 28 | 4. **Autonomy**: 29 | Anda agents derive permanent identities and cryptographic capabilities from the ICP blockchain, combined with the reasoning and decision-making abilities of large language models (LLMs). This allows agents to autonomously and efficiently solve problems based on their experiences and knowledge, adapting to dynamic environments and making effective decisions in complex scenarios. 30 | 31 | 5. **Perpetual Memory**: 32 | The memory states of Anda agents are stored on the ICP blockchain and within the trusted storage network of dTEE, ensuring continuous algorithm upgrades, knowledge accumulation, and evolution. This perpetual memory mechanism enables agents to operate indefinitely, even achieving "immortality", laying the foundation for a super AGI system. 33 | 34 | ### 🧠 Vision and Goals 35 | 36 | Anda's goal is to create and connect countless agents, building an open, secure, trustworthy, and highly collaborative network of agents, ultimately realizing a super AGI system. We believe Anda will bring revolutionary changes across industries, driving the widespread application of AI technology and creating greater value for human society. 37 | -------------------------------------------------------------------------------- /docs/anda/README_cn.md: -------------------------------------------------------------------------------- 1 | # `Anda` 2 | 3 | > 🤖 一个专为 AI 智能体开发设计的 Rust 语言框架，致力于构建高度可组合、自主运行且具备永久记忆能力的 AI 智能体网络。 4 | 5 | **Anda 源代码**：[https://github.com/ldclabs/anda](https://github.com/ldclabs/anda) 6 | 7 | **AI Agent 应用实例**：[https://x.com/AndaICP](https://x.com/AndaICP) 8 | 9 | Anda 使用 DeepSeek 作为首要的 LLM 服务提供商，以提供强大的智能体思考和决策能力。 10 | 11 | ## 🐼 简介 12 | 13 | `Anda` 是一个创新的智能体开发框架，旨在构建一个高度可组合、自主性强且具有永久记忆的 AI 智能体网络。通过连接各行各业的智能体，Anda 致力于打造一个超级 AGI 系统，推动人工智能向更高层次发展。 14 | 15 | ![Anda Diagram](./assets/anda_diagram.webp) 16 | 17 | ### ✨ 核心特性 18 | 19 | 1. **可组合性**： 20 | Anda 智能体专注于解决特定领域的问题，并通过灵活组合不同的智能体来应对复杂任务。当单个智能体无法独立解决问题时，它能够与其他智能体协作，形成强大的问题解决网络。这种模块化设计使得 Anda 能够灵活应对多样化的需求。 21 | 22 | 2. **简洁性**： 23 | Anda 的设计理念强调简洁易用，旨在帮助开发者快速构建功能强大且高效的智能体。同时，非开发者也可以通过简单的配置创建自己的智能体，降低了技术门槛，使更多人能够参与到智能体的开发与应用中。 24 | 25 | 3. **可信性**： 26 | Anda 智能体运行在基于可信执行环境（TEEs）的去中心化可信计算环境（dTEE）中，确保了智能体的安全性、隐私性和数据完整性。这种架构为智能体的运行提供了高度可信的基础设施，保障了数据和计算过程的安全。 27 | 28 | 4. **自主性**： 29 | Anda 智能体从 ICP 区块链获取永久身份和加密能力，并结合大语言模型的思考和决策能力，使其能够根据自身的经验和知识自主、高效地解决问题。这种自主性使智能体能够适应动态环境，并在复杂场景中做出高效决策。 30 | 31 | 5. **永久记忆**： 32 | Anda 智能体的记忆状态存储在 ICP 区块链和 dTEE 的可信存储网络中，确保其能够持续升级算法、积累知识并不断进化。这种永久记忆机制使智能体能够长久运行，甚至实现“永生”，为构建超级 AGI 系统奠定基础。 33 | 34 | ### 🧠 愿景与目标 35 | 36 | Anda 的目标是通过创建和连接无数智能体，构建一个开放、安全、可信、高度协同的智能体网络，最终实现超级 AGI 系统。我们相信，Anda 将为各行各业带来革命性的变革，推动人工智能技术在更广泛的领域中落地应用，为人类社会创造更大的价值。 -------------------------------------------------------------------------------- /docs/anda/assets/anda_diagram.webp: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/anda/assets/anda_diagram.webp -------------------------------------------------------------------------------- /docs/anything-copilot/README.md: -------------------------------------------------------------------------------- 1 | # [**Anything Copilot**](https://github.com/baotlake/anything-copilot) 2 | 3 | > ![](./assets/logo_16x16.svg) Anything Copilot is a browser extension that enables seamless access to mainstream AI tools directly from your sidebar. For instance, you can open AI chat interfaces like DeepSeek within the sidebar, effectively transforming it into your AI Copilot that remains accessible while you browse. 4 | 5 | **Install in Chrome Web Store**： [Anything Copilot - A more powerful sidebar, split-screen, and AI assistant](https://chromewebstore.google.com/detail/anything-copilot-a-more-p/lilckelmopbcffmglfmfhelaajhjpcff) 6 | 7 | **Install in Edge Add-ons**： [Anything Copilot - A more powerful sidebar, split-screen, and AI assistant](https://microsoftedge.microsoft.com/addons/detail/anything-copilot-a-more/lbeehbkcmjaopnlccpjcdgamcabhnanl) 8 | 9 | 10 | ![](./assets/Screenshot_DeepSeek.webp) 11 | -------------------------------------------------------------------------------- /docs/anything-copilot/README_cn.md: -------------------------------------------------------------------------------- 1 | # [**Anything Copilot**](https://github.com/baotlake/anything-copilot) 2 | 3 | > ![](./assets/logo_16x16.svg) Anything Copilot 是一款可以让你在侧边栏无缝使用任意主流AI工具的浏览器插件。例如，你可以在侧边栏中打开 DeepSeek 等 AI 聊天页面 ，把 DeekSeek 变成你的侧边栏中的 AI Copilot 。 4 | 5 | **在 Chrome Web Store 安装**： [Anything Copilot - 更强大的侧边栏，分屏，AI 助手](https://chromewebstore.google.com/detail/anything-copilot-%E6%9B%B4%E5%BC%BA%E5%A4%A7%E7%9A%84%E4%BE%A7%E8%BE%B9%E6%A0%8F%EF%BC%8C/lilckelmopbcffmglfmfhelaajhjpcff?hl=zh) 6 | 7 | **在 Edge Add-ons 安装**： [Anything Copilot - 更强大的侧边栏，分屏，AI 助手](https://microsoftedge.microsoft.com/addons/detail/anything-copilot-%E6%9B%B4%E5%BC%BA%E5%A4%A7%E7%9A%84%E4%BE%A7%E8%BE%B9/lbeehbkcmjaopnlccpjcdgamcabhnanl?hl=zh) 8 | 9 | 10 | ![](./assets/Screenshot_DeepSeek.webp) 11 | -------------------------------------------------------------------------------- /docs/anything-copilot/assets/Screenshot_DeepSeek.webp: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/anything-copilot/assets/Screenshot_DeepSeek.webp -------------------------------------------------------------------------------- /docs/anything-copilot/assets/logo.svg: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 6 | -------------------------------------------------------------------------------- /docs/anything-copilot/assets/logo_16x16.svg: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | -------------------------------------------------------------------------------- /docs/autoflow/README.md: -------------------------------------------------------------------------------- 1 | # Autoflow 2 | 3 | pingcap%2Fautoflow | Trendshift 4 | 5 | [AutoFlow](https://github.com/pingcap/autoflow) is an open-source knowledge base tool based on GraphRAG (Graph-based Retrieval-Augmented Generation), built on [TiDB](https://www.pingcap.com/ai?utm_source=tidb.ai&utm_medium=community) Vector, LlamaIndex, and DSPy. It provides a Perplexity-like search interface and allows easy integration of AutoFlow's conversational search window into your website by embedding a simple JavaScript snippet. 6 | 7 | ## UI 8 | 9 | 1. **Perplexity-style Conversational Search page**: Our platform features an advanced built-in website crawler, designed to elevate your browsing experience. This crawler effortlessly navigates official and documentation sites, ensuring comprehensive coverage and streamlined search processes through sitemap URL scraping. 10 | 11 | ![Image](https://github.com/user-attachments/assets/50a4e5ce-8b93-446a-8ce7-11ed7844bd1e) 12 | 13 | 2. **Embeddable JavaScript Snippet**: Integrate our conversational search window effortlessly into your website by copying and embedding a simple JavaScript code snippet. This widget, typically placed at the bottom right corner of your site, facilitates instant responses to product-related queries. 14 | 15 | ![Image](https://github.com/user-attachments/assets/f0dc82db-c14d-4863-a242-c7da3a719568) 16 | 17 | ## Integrate with Deepseek API 18 | 19 | - Click the tab `Models` then `LLMs` to enter the LLM model management page. 20 | - Click the `Create` button to create a new LLM model. 21 | - Input data like below, then click the `Create LLM` button. 22 | 23 | ![Image](https://github.com/user-attachments/assets/875cac18-707b-465f-ac62-89ddb416f94d) 24 | -------------------------------------------------------------------------------- /docs/autoflow/README_cn.md: -------------------------------------------------------------------------------- 1 | # Autoflow 2 | 3 | pingcap%2Fautoflow | Trendshift 4 | 5 | [AutoFlow](https://github.com/pingcap/autoflow) 是一个基于 GraphRAG（基于图的检索增强生成）的开源知识库工具，构建于 [TiDB](https://www.pingcap.com/ai?utm_source=tidb.ai&utm_medium=community) Vector、LlamaIndex 和 DSPy 之上。它提供类似 Perplexity 的搜索界面，并允许通过嵌入简单的 JavaScript 代码片段，将 AutoFlow 的对话式搜索窗口轻松集成到您的网站中。 6 | 7 | ## UI 界面 8 | 9 | 1. **Perplexity 风格的对话式搜索页面**：我们的平台配备了高级内置网站爬虫，旨在提升您的浏览体验。该爬虫能够轻松抓取官方网站和文档站点，通过 sitemap 抓取，实现全面覆盖和高效搜索。 10 | 11 | ![Image](https://github.com/user-attachments/assets/50a4e5ce-8b93-446a-8ce7-11ed7844bd1e) 12 | 13 | 2. **可嵌入的 JavaScript 代码片段**：通过复制并嵌入一段简单的 JavaScript 代码，即可轻松将我们的对话式搜索窗口集成到您的网站中。此小部件通常放置在网站右下角，可即时回答与产品相关的查询。 14 | 15 | ![Image](https://github.com/user-attachments/assets/f0dc82db-c14d-4863-a242-c7da3a719568) 16 | 17 | ## 集成 Deepseek API 18 | 19 | - 点击 `Models` 选项卡，然后进入 `LLMs` 以进入 LLM 模型管理页面。 20 | - 点击 `Create` 按钮创建一个新的 LLM 模型。 21 | - 按照下方示例输入数据，然后点击 `Create LLM` 按钮。 22 | 23 | ![Image](https://github.com/user-attachments/assets/875cac18-707b-465f-ac62-89ddb416f94d) 24 | -------------------------------------------------------------------------------- /docs/avante.nvim/README.md: -------------------------------------------------------------------------------- 1 | # [avante.nvim](https://github.com/yetone/avante.nvim) 2 | 3 | **avante.nvim** is a Neovim plugin designed to emulate the behaviour of the [Cursor](https://www.cursor.com) AI IDE. It provides users with AI-driven code suggestions and the ability to apply these recommendations directly to their source files with minimal effort. 4 | 5 | ## Features 6 | 7 | - **AI-Powered Code Assistance**: Interact with AI to ask questions about your current code file and receive intelligent suggestions for improvement or modification. 8 | - **One-Click Application**: Quickly apply the AI's suggested changes to your source code with a single command, streamlining the editing process and saving time. 9 | 10 | > [!IMPORTANT] 11 | > 12 | > The project is in rapid iteration, and this guide was last updated on October 19, 2024. Installation and configuration methods may change after this date, so please refer to the original project's README.md for the most accurate information. 13 | 14 | ## Installation 15 | 16 | ### Install via `lazy.nvim` 17 | 18 | Navigate to the nvim configuration folder (default on Linux is `~/.config/nvim`) and then to the `lua/plugins` folder. Create a file named `avante.lua` and add the following content: 19 | 20 | ```lua 21 | return { 22 | { 23 | "yetone/avante.nvim", 24 | event = "VeryLazy", 25 | lazy = false, 26 | version = false, -- set this if you want to always pull the latest change 27 | opts = { 28 | provider = "deepseek", 29 | vendors = { 30 | deepseek = { 31 | __inherited_from = "openai", 32 | api_key_name = "DEEPSEEK_API_KEY", 33 | endpoint = "https://api.deepseek.com", 34 | model = "deepseek-coder", 35 | max_tokens = 8192, 36 | }, 37 | }, 38 | }, 39 | -- if you want to build from source then do `make BUILD_FROM_SOURCE=true` 40 | build = "make", 41 | -- build = "powershell -ExecutionPolicy Bypass -File Build.ps1 -BuildFromSource false" -- for windows 42 | dependencies = { 43 | "nvim-treesitter/nvim-treesitter", 44 | "stevearc/dressing.nvim", 45 | "nvim-lua/plenary.nvim", 46 | "MunifTanjim/nui.nvim", 47 | --- The below dependencies are optional, 48 | "nvim-tree/nvim-web-devicons", -- or echasnovski/mini.icons 49 | "zbirenbaum/copilot.lua", -- for providers='copilot' 50 | { 51 | -- support for image pasting 52 | "HakonHarnes/img-clip.nvim", 53 | event = "VeryLazy", 54 | opts = { 55 | -- recommended settings 56 | default = { 57 | embed_image_as_base64 = false, 58 | prompt_for_file_name = false, 59 | drag_and_drop = { 60 | insert_mode = true, 61 | }, 62 | -- required for Windows users 63 | use_absolute_path = true, 64 | }, 65 | }, 66 | }, 67 | { 68 | -- Make sure to set this up properly if you have lazy=true 69 | 'MeanderingProgrammer/render-markdown.nvim', 70 | opts = { 71 | file_types = { "markdown", "Avante" }, 72 | }, 73 | ft = { "markdown", "Avante" }, 74 | }, 75 | }, 76 | }, 77 | } 78 | ``` 79 | Restart nvim, and `lazy.nvim` should automatically download and install the avante.nvim plugin and its dependencies based on the above file. 80 | 81 | ### Other Installation Methods 82 | https://github.com/yetone/avante.nvim?tab=readme-ov-file#installation 83 | 84 | ## Usage 85 | https://github.com/yetone/avante.nvim?tab=readme-ov-file#usage 86 | -------------------------------------------------------------------------------- /docs/avante.nvim/README_cn.md: -------------------------------------------------------------------------------- 1 | # [avante.nvim](https://github.com/yetone/avante.nvim) 2 | 3 | **avante.nvim** 是一个旨在模拟 [Cursor](https://www.cursor.com) AI IDE 的行为的 Neovim 插件。它为用户提供 AI 驱动的代码建议，并能够以最小的努力将这些建议直接应用于他们的源文件。 4 | 5 | ## 功能 6 | 7 | - **AI 驱动的代码辅助**：与 AI 聊天以询问有关您当前代码文件的问题，并接收改进或修改的智能建议。 8 | - **一键应用**：使用单个命令快速将 AI 建议的更改应用于您的源代码，简化编辑过程并节省时间。 9 | 10 | > [!IMPORTANT] 11 | > 12 | > 该项目处于快速迭代状态，本指南更新于2024.10.19，在此日期之后的安装配置方法可能会发生变更，请以原项目README.md为准。 13 | 14 | 15 | ## 安装 16 | 17 | ### 通过 `lazy.nvim` 安装 18 | 19 | 转到nvim的配置文件夹下（linux 默认是`~/.config/nvim`）的 `lua/plugins` 文件夹，创建一个名为 `avante.lua` 的文件，并在其中添加以下内容： 20 | ```lua 21 | return { 22 | { 23 | "yetone/avante.nvim", 24 | event = "VeryLazy", 25 | lazy = false, 26 | version = false, -- set this if you want to always pull the latest change 27 | opts = { 28 | provider = "deepseek", 29 | vendors = { 30 | deepseek = { 31 | __inherited_from = "openai", 32 | api_key_name = "DEEPSEEK_API_KEY", 33 | endpoint = "https://api.deepseek.com", 34 | model = "deepseek-coder", 35 | }, 36 | }, 37 | }, 38 | -- if you want to build from source then do `make BUILD_FROM_SOURCE=true` 39 | build = "make", 40 | -- build = "powershell -ExecutionPolicy Bypass -File Build.ps1 -BuildFromSource false" -- for windows 41 | dependencies = { 42 | "nvim-treesitter/nvim-treesitter", 43 | "stevearc/dressing.nvim", 44 | "nvim-lua/plenary.nvim", 45 | "MunifTanjim/nui.nvim", 46 | --- The below dependencies are optional, 47 | "nvim-tree/nvim-web-devicons", -- or echasnovski/mini.icons 48 | "zbirenbaum/copilot.lua", -- for providers='copilot' 49 | { 50 | -- support for image pasting 51 | "HakonHarnes/img-clip.nvim", 52 | event = "VeryLazy", 53 | opts = { 54 | -- recommended settings 55 | default = { 56 | embed_image_as_base64 = false, 57 | prompt_for_file_name = false, 58 | drag_and_drop = { 59 | insert_mode = true, 60 | }, 61 | -- required for Windows users 62 | use_absolute_path = true, 63 | }, 64 | }, 65 | }, 66 | { 67 | -- Make sure to set this up properly if you have lazy=true 68 | 'MeanderingProgrammer/render-markdown.nvim', 69 | opts = { 70 | file_types = { "markdown", "Avante" }, 71 | }, 72 | ft = { "markdown", "Avante" }, 73 | }, 74 | }, 75 | }, 76 | } 77 | ``` 78 | 79 | 重启 nvim，此时`lazy.nvim`应该会根据上述文件帮你下载安装好 avante.nvim 插件及其依赖项。 80 | 81 | ### 其他安装方式 82 | 83 | https://github.com/yetone/avante.nvim?tab=readme-ov-file#installation 84 | 85 | ## 使用 86 | 87 | https://github.com/yetone/avante.nvim?tab=readme-ov-file#usage 88 | -------------------------------------------------------------------------------- /docs/bob_translate/README.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | # [Bob Translate](https://bobtranslate.com/) 4 | 5 | Bob Translate is a translation and OCR application on Mac. Use it for translation and OCR, simple and efficient! 6 | 7 | ## UI 8 | ![image](https://github.com/deepseek-ai/awesome-deepseek-integration/assets/59196087/9e2a0ac5-a284-4c82-bcd3-e7aefd9cd5a8) 9 | 10 | 11 | ## Integrate with Deepseek API 12 | To use the DeepSeek API, you have to download the plugin below for fee. 13 | https://github.com/openai-translator/bob-plugin-openai-translator 14 | -------------------------------------------------------------------------------- /docs/bob_translate/README_cn.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | # [Bob Translate](https://bobtranslate.com/) 4 | 5 | 在任意应用程序中使用 Bob 进行翻译和 OCR，即用即走，简单、快捷、高效！ 6 | 7 | ## UI 8 | ![image](https://github.com/deepseek-ai/awesome-deepseek-integration/assets/59196087/9e2a0ac5-a284-4c82-bcd3-e7aefd9cd5a8) 9 | 10 | 11 | ## Integrate with Deepseek API 12 | 可以使用下面的插件(收费)来配置deepseek api. 13 | https://github.com/openai-translator/bob-plugin-openai-translator 14 | -------------------------------------------------------------------------------- /docs/chatbox/README.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | # [Chatbox](https://chatboxai.app/) 4 | 5 | Chatbox is a desktop client for multiple LLM models, available on Windows, Mac and Linux. 6 | 7 | ## UI 8 | 9 | 10 | 11 | ## Integrate with Deepseek API 12 | 13 | 14 | -------------------------------------------------------------------------------- /docs/chatbox/README_cn.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | # [Chatbox](https://chatboxai.app/) 4 | 5 | Chatbox 是一个支持多种流行LLM模型的桌面客户端，可在 Windows、Mac 和 Linux 上使用。 6 | 7 | ## UI 8 | 9 | 10 | 11 | ## 配置 deepseek API 12 | 13 | 14 | -------------------------------------------------------------------------------- /docs/chatgpt_box/README.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | # [ChatGPT Box](https://github.com/josStorer/chatGPTBox) 4 | 5 | ChatGPT Box is a deep LLMs integrations in your browser, completely for free. 6 | 7 | ## UI 8 | ![image](https://github.com/deepseek-ai/awesome-deepseek-integration/assets/59196087/583b27ec-474a-4c29-aa93-cae44738b438) 9 | 10 | 11 | ## Integrate with Deepseek API 12 | ![image](https://github.com/deepseek-ai/awesome-deepseek-integration/assets/59196087/ab220788-fc68-4c68-b09e-87c620b03820) 13 | -------------------------------------------------------------------------------- /docs/chatgpt_box/README_cn.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | # [ChatGPT Box](https://github.com/josStorer/chatGPTBox) 4 | 5 | 将 LLMs 整合到你的浏览器中. 6 | 7 | ## UI 8 | ![image](https://github.com/deepseek-ai/awesome-deepseek-integration/assets/59196087/583b27ec-474a-4c29-aa93-cae44738b438) 9 | 10 | 11 | ## 配置 deepseek API 12 | ![image](https://github.com/deepseek-ai/awesome-deepseek-integration/assets/59196087/ab220788-fc68-4c68-b09e-87c620b03820) 13 | -------------------------------------------------------------------------------- /docs/chatgpt_next_web/README.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | # [ChatGPT-Next-Web](https://github.com/ChatGPTNextWeb/ChatGPT-Next-Web) 4 | 5 | One-Click to get a well-designed cross-platform ChatGPT web UI，support multiple LLMs. 6 | 7 | ## UI 8 | ![image](https://github.com/deepseek-ai/awesome-deepseek-integration/assets/59196087/3a827669-e5e4-4fc3-97d7-bcf57efb76d1) 9 | 10 | 11 | ## Integrate with Deepseek API 12 | ![image](https://github.com/deepseek-ai/awesome-deepseek-integration/assets/13600976/996363ca-21e3-42f0-8285-071b209f501f) 13 | -------------------------------------------------------------------------------- /docs/chatgpt_next_web/README_cn.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | # [ChatGPT-Next-Web](https://github.com/ChatGPTNextWeb/ChatGPT-Next-Web) 4 | 5 | 一键获取设计精良的跨平台ChatGPT网页用户界面，支持流行的LLM. 6 | 7 | ## UI 8 | ![image](https://github.com/deepseek-ai/awesome-deepseek-integration/assets/59196087/3a827669-e5e4-4fc3-97d7-bcf57efb76d1) 9 | 10 | 11 | ## 配置 deepseek API 12 | ![image](https://github.com/deepseek-ai/awesome-deepseek-integration/assets/13600976/996363ca-21e3-42f0-8285-071b209f501f) 13 | -------------------------------------------------------------------------------- /docs/chatpdflocal/assets/chatpdflocal-icon.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/chatpdflocal/assets/chatpdflocal-icon.png -------------------------------------------------------------------------------- /docs/cherrystudio/README.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | # [Cherry Studio](https://github.com/kangfenmao/cherry-studio) 4 | 5 | Cherry Studio: A powerful desktop AI assistant for producer 6 | 7 | ## Screenshot 8 | 9 | 10 | 11 | ## Integrate with Deepseek API 12 | 13 | ![](https://raw.githubusercontent.com/kangfenmao/assets/main/images/202407161307342.png) 14 | 15 | ## Download Cherry Studio 16 | 17 | Homepage：https://github.com/kangfenmao/cherry-studio 18 | Download：https://github.com/kangfenmao/cherry-studio/releases -------------------------------------------------------------------------------- /docs/cherrystudio/README_cn.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | # [Cherry Studio](https://github.com/kangfenmao/cherry-studio) 4 | 5 | Cherry Studio 是一款为创造者而生的 AI 软件，支持多种大语言模型。 6 | 7 | ## 界面截图 8 | 9 | 10 | 11 | ## 配置 deepseek API 12 | 13 | ![](https://raw.githubusercontent.com/kangfenmao/assets/main/images/202407161306874.png) 14 | 15 | ## Cherry Studio 下载地址 16 | 17 | 项目主页：https://github.com/kangfenmao/cherry-studio 18 | 下载地址：https://github.com/kangfenmao/cherry-studio/releases -------------------------------------------------------------------------------- /docs/cline/README.md: -------------------------------------------------------------------------------- 1 | # [Cline](https://github.com/cline/cline) 2 | 3 | Meet Cline, an AI assistant that can use your CLI aNd Editor. 4 | 5 | ## Installation 6 | 7 | ![image](./assets/cline-00.png) 8 | 9 | ## Key Features of Cline 10 | 11 | 1. **Agentic Coding with Claude 3.5 Sonnet**: Cline leverages advanced AI capabilities to handle complex software development tasks step-by-step, going beyond simple code completion or tech support. 12 | 13 | 2. **File and Project Management**: Cline can create, edit, and explore files within large projects, enabling seamless navigation and modification of codebases. 14 | 15 | 3. **Terminal Integration**: With user permission, Cline can execute terminal commands and monitor their output, allowing it to react dynamically to issues like dev server errors. 16 | 17 | 4. **Browser Automation**: For web development, Cline can launch sites in a headless browser, interact with pages (click, type, scroll), and capture screenshots and console logs to debug runtime errors and visual bugs. 18 | 19 | 5. **Human-in-the-Loop Safety**: Every file change and terminal command requires user approval via a GUI, ensuring a secure and controlled environment for exploring agentic AI capabilities. 20 | 21 | 6. **Context-Aware Assistance**: Cline analyzes file structures, source code ASTs, and runs regex searches to understand existing projects, ensuring efficient and relevant assistance without overwhelming the context window. 22 | 23 | 7. **Proactive Error Handling**: Cline monitors linter/compiler errors and proactively fixes issues like missing imports and syntax errors during file editing. 24 | 25 | 8. **Model Context Protocol (MCP)**: Cline can extend its own capabilities by creating new tools using the MCP, enabling continuous adaptation to user needs. 26 | 27 | 9. **Task Completion with Ease**: Once a task is completed, Cline presents results with simple terminal commands (e.g., `open -a "Google Chrome" index.html`), which users can execute with a single click. 28 | 29 | ## UI 30 | 31 | ![image](./assets/cline-01.png) 32 | 33 | ## Integrate with DeepSeek API 34 | 35 | ![image](./assets/cline-02.png) 36 | 37 | ## Best practices 38 | 39 | 1. **Disable Cline's Auto Approve Feature**: It is recommended to disable Cline's Auto Approve feature when using DeepSeek to reduce resource consumption and minimize the risk of lag caused by concurrent multiple requests. 40 | 41 | 2. **Use Modified Versions of Cline**: For example, Roo-Cline or ALine. These modified versions carry relatively shorter contexts, handle requests more smoothly, and have a higher cache hit rate, which can help save API call costs. 42 | 43 | 3. **Use DeepSeek with Caution for Large Projects**: For large code projects, it is not recommended to use DeepSeek + Cline. Large projects typically carry a large amount of code context, which can significantly slow down API request processing. 44 | 45 | 4. **Switch to Other LLM Providers**: It is recommended to switch to other LLM providers when using Cline for a smoother experience. 46 | 47 | ## Roo Cline 48 | 49 | ![image](./assets/roocline-00.png) 50 | -------------------------------------------------------------------------------- /docs/cline/README_cn.md: -------------------------------------------------------------------------------- 1 | # [Cline](https://github.com/cline/cline) 2 | 3 | Cline 是一款能够使用您的 CLI 和编辑器的 AI 助手。 4 | 5 | ## 安装 6 | 7 | ![image](./assets/cline-00.png) 8 | 9 | ## Cline 的主要特点 10 | 11 | 1. **基于 Claude 3.5 Sonnet 的智能编码**：Cline 利用先进的 AI 技术，逐步处理复杂的软件开发任务，超越简单的代码补全或技术支持。 12 | 13 | 2. **文件与项目管理**：Cline 可以创建、编辑和浏览大型项目中的文件，实现无缝的代码库导航和修改。 14 | 15 | 3. **终端集成**：在用户授权的情况下，Cline 可以执行终端命令并监控其输出，从而动态响应开发服务器错误等问题。 16 | 17 | 4. **浏览器自动化**：对于 Web 开发，Cline 可以在无头浏览器中启动网站，与页面交互（点击、输入、滚动），并捕获截图和控制台日志，以调试运行时错误和视觉问题。 18 | 19 | 5. **人机交互安全保障**：每次文件更改和终端命令都需要通过 GUI 获得用户批准，确保在探索智能 AI 功能时提供一个安全可控的环境。 20 | 21 | 6. **上下文感知辅助**：Cline 分析文件结构、源代码 AST 并运行正则表达式搜索，以理解现有项目，确保在不超出上下文窗口的情况下提供高效且相关的帮助。 22 | 23 | 7. **主动错误处理**：Cline 监控 linter/编译器错误，并在文件编辑过程中主动修复诸如缺少导入和语法错误等问题。 24 | 25 | 8. **模型上下文协议 (MCP)**：Cline 可以通过 MCP 创建新工具来扩展其功能，从而持续适应用户需求。 26 | 27 | 9. **轻松完成任务**：任务完成后，Cline 会以简单的终端命令（例如 `open -a "Google Chrome" index.html`）呈现结果，用户只需点击一下即可执行。 28 | 29 | ## 用户界面 30 | 31 | ![image](./assets/cline-01.png) 32 | 33 | ## 与 DeepSeek API 集成 34 | 35 | ![image](./assets/cline-02.png) 36 | 37 | ## 最佳实践 38 | 39 | 1. **关闭 Cline 的 Auto Approve 功能**：建议在使用 DeepSeek 时，关闭 Cline 的 Auto Approve 功能，以降低资源消耗，降低多请求因并发带来的卡顿风险。 40 | 41 | 2. **使用 Cline 改版**：例如 Roo-Cline 或 ALine。这些改版携带的上下文相对短，处理请求时表现更为流畅，且缓存命中率更高，可以帮助节省 API 调用成本。 42 | 43 | 3. **慎用 DeepSeek 处理大型工程**：对于大型代码工程，不建议使用 DeepSeek + Cline。大型工程通常会携带大量代码上下文，会导致 API 请求处理速度明显变慢。 44 | 45 | 4. **更换其他 LLM 提供商**：建议您在使用 Cline 时，更换其他 LLM 提供商，以获得更流畅的体验。 46 | 47 | ## Roo Cline 48 | 49 | ![image](./assets/roocline-00.png) 50 | -------------------------------------------------------------------------------- /docs/cline/assets/cline-00.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/cline/assets/cline-00.png -------------------------------------------------------------------------------- /docs/cline/assets/cline-01.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/cline/assets/cline-01.png -------------------------------------------------------------------------------- /docs/cline/assets/cline-02.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/cline/assets/cline-02.png -------------------------------------------------------------------------------- /docs/cline/assets/favicon.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/cline/assets/favicon.png -------------------------------------------------------------------------------- /docs/cline/assets/roocline-00.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/cline/assets/roocline-00.png -------------------------------------------------------------------------------- /docs/codecompanion.nvim/README.md: -------------------------------------------------------------------------------- 1 | # [codecompanion.nvim](https://github.com/olimorris/codecompanion.nvim) 2 | 3 | > AI-powered coding, seamlessly in Neovim 4 | 5 | **codecompanion.nvim** is a productivity tool which streamlines how you develop with LLMs, in Neovim. 6 | 7 | ## Features 8 | 9 | - :speech_balloon: [Copilot Chat](https://github.com/features/copilot) meets [Zed AI](https://zed.dev/blog/zed-ai), in Neovim 10 | - :electric_plug: Support for Anthropic, Copilot, Gemini, Ollama, OpenAI, Azure OpenAI, HuggingFace and xAI LLMs (or bring your own!) 11 | - :rocket: Inline transformations, code creation and refactoring 12 | - :robot: Variables, Slash Commands, Agents/Tools and Workflows to improve LLM output 13 | - :sparkles: Built in prompt library for common tasks like advice on LSP errors and code explanations 14 | - :building_construction: Create your own custom prompts, Variables and Slash Commands 15 | - :books: Have multiple chats open at the same time 16 | - :muscle: Async execution for fast performance 17 | 18 | ## Installation 19 | 20 | First, Navigate to the nvim configuration folder (default on Linux is `~/.config/nvim`) 21 | 22 | ### Install via `lazy.nvim` 23 | 24 | Then to the `lua/plugins` folder. Create a file named `init.lua` and add the following content: 25 | 26 | ```lua 27 | return { 28 | "olimorris/codecompanion.nvim", 29 | dependencies = { 30 | "nvim-lua/plenary.nvim", 31 | "nvim-treesitter/nvim-treesitter", 32 | }, 33 | config = function() 34 | require("codecompanion").setup({ 35 | adapters = { 36 | deepseek = function() 37 | return require("codecompanion.adapters").extend("deepseek", { 38 | env = { 39 | api_key = "YOUR_API_KEY", 40 | }, 41 | }) 42 | end, 43 | }, 44 | strategies = { 45 | chat = { adapter = "deepseek", }, 46 | inline = { adapter = "deepseek" }, 47 | agent = { adapter = "deepseek" }, 48 | }, 49 | }) 50 | end 51 | } 52 | ``` 53 | Restart nvim, and `lazy.nvim` should automatically download and install the codecompanion.nvim plugin and its dependencies based on the above file. 54 | 55 | ### Install via `mini.deps` 56 | 57 | Add the following content to your `init.lua`: 58 | 59 | ```lua 60 | local add, later = MiniDeps.add, MiniDeps.later 61 | 62 | later(function() 63 | add({ 64 | source = "olimorris/codecompanion.nvim", 65 | depends = { 66 | "nvim-lua/plenary.nvim", 67 | "nvim-treesitter/nvim-treesitter", 68 | }, 69 | }) 70 | require("codecompanion").setup({ 71 | adapters = { 72 | deepseek = function() 73 | return require("codecompanion.adapters").extend("deepseek", { 74 | env = { 75 | api_key = "YOUR_API_KEY", 76 | }, 77 | }) 78 | end, 79 | }, 80 | strategies = { 81 | chat = { adapter = "deepseek", }, 82 | inline = { adapter = "deepseek" }, 83 | agent = { adapter = "deepseek" }, 84 | }, 85 | }) 86 | end) 87 | ``` 88 | Restart nvim, and `mini.deps` should also automatically download and install the codecompanion.nvim plugin. 89 | 90 | 91 | ### Other Installation Methods 92 | https://codecompanion.olimorris.dev/installation.html 93 | 94 | ## Usage 95 | https://codecompanion.olimorris.dev/usage/introduction.html 96 | -------------------------------------------------------------------------------- /docs/codecompanion.nvim/README_cn.md: -------------------------------------------------------------------------------- 1 | # [codecompanion.nvim](https://github.com/olimorris/codecompanion.nvim) 2 | 3 | > AI 驱动的编码，在 Neovim 中无缝集成 4 | 5 | **codecompanion.nvim** 是一个提高生产力的工具，它简化了在 Neovim 中使用大型语言模型（LLM）进行开发的方式。 6 | 7 | ## 特性 8 | 9 | - :speech_balloon: 在 Neovim 中，[Copilot Chat](https://github.com/features/copilot) 与 [Zed AI](https://zed.dev/blog/zed-ai) 的结合 10 | - :electric_plug: 支持 Anthropic、Copilot、Gemini、Ollama、OpenAI、Azure OpenAI、HuggingFace 和 xAI LLM（或自定义 LLM！） 11 | - :rocket: 内联变换、代码生成与重构 12 | - :robot: 通过变量、斜杠命令、代理/工具和工作流改善 LLM 输出 13 | - :sparkles: 内置常用任务的提示词，例如 LSP 错误的建议和代码解释 14 | - :building_construction: 创建自定义提示、变量和斜杠命令 15 | - :books: 同时打开多个对话 16 | - :muscle: 异步执行，提供快速的性能 17 | 18 | ## 安装 19 | 20 | 首先，导航到 Neovim 配置文件夹（默认情况下，Linux 上的路径是 `~/.config/nvim`）。 21 | 22 | ### 通过 `lazy.nvim` 安装 23 | 24 | 然后进入 `lua/plugins` 文件夹。创建一个名为 `init.lua` 的文件，并添加以下内容： 25 | 26 | ```lua 27 | return { 28 | "olimorris/codecompanion.nvim", 29 | dependencies = { 30 | "nvim-lua/plenary.nvim", 31 | "nvim-treesitter/nvim-treesitter", 32 | }, 33 | config = function() 34 | require("codecompanion").setup({ 35 | adapters = { 36 | deepseek = function() 37 | return require("codecompanion.adapters").extend("deepseek", { 38 | env = { 39 | api_key = "YOUR_API_KEY", 40 | }, 41 | }) 42 | end, 43 | }, 44 | strategies = { 45 | chat = { adapter = "deepseek", }, 46 | inline = { adapter = "deepseek" }, 47 | agent = { adapter = "deepseek" }, 48 | }, 49 | }) 50 | end 51 | } 52 | ``` 53 | 重新启动 Neovim，`lazy.nvim` 应该会自动下载并安装 `codecompanion.nvim` 插件及其依赖项。 54 | 55 | ### 通过 `mini.deps` 安装 56 | 57 | 将以下内容添加到你的 `init.lua` 中 58 | 59 | ```lua 60 | local add, later = MiniDeps.add, MiniDeps.later 61 | 62 | later(function() 63 | add({ 64 | source = "olimorris/codecompanion.nvim", 65 | depends = { 66 | "nvim-lua/plenary.nvim", 67 | "nvim-treesitter/nvim-treesitter", 68 | }, 69 | }) 70 | require("codecompanion").setup({ 71 | adapters = { 72 | deepseek = function() 73 | return require("codecompanion.adapters").extend("deepseek", { 74 | env = { 75 | api_key = "YOUR_API_KEY", 76 | }, 77 | }) 78 | end, 79 | }, 80 | strategies = { 81 | chat = { adapter = "deepseek", }, 82 | inline = { adapter = "deepseek" }, 83 | agent = { adapter = "deepseek" }, 84 | }, 85 | }) 86 | end) 87 | ``` 88 | 89 | 重新启动 Neovim，`mini.deps` 应该会自动下载并安装 `codecompanion.nvim` 插件。 90 | 91 | 92 | ### 其他安装方法 93 | https://codecompanion.olimorris.dev/installation.html 94 | 95 | ## 使用 96 | https://codecompanion.olimorris.dev/usage/introduction.html 97 | -------------------------------------------------------------------------------- /docs/codegate/README_cn.md: -------------------------------------------------------------------------------- 1 | # CodeGate:安全的 AI 代码生成 2 | 3 | CodeGate 是一个**本地代理**,可以让 AI 代理和编码助手更加安全。它确保 AI 生成的建议遵循最佳实践,同时保护您的代码完整性和隐私。使用 CodeGate,您可以在开发工作流程中自信地利用 AI,而不会牺牲安全性或生产力。 4 | 5 | 6 | 7 | CodeGate dashboard 8 | 9 | 10 | --- 11 | ## ✨ 为什么选择 CodeGate? 12 | 13 | AI 编码助手功能强大,但可能会无意中带来风险。CodeGate 通过以下方式保护您的开发过程: 14 | 15 | - 🔒 防止意外泄露机密和敏感数据 16 | - 🛡️ 确保 AI 建议遵循安全编码实践 17 | - ⚠️ 阻止推荐已知的恶意或已弃用的库 18 | - 🔍 提供 AI 建议的实时安全分析 19 | 20 | --- 21 | ## 🚀 使用 🐋 Deepseek 快速开始! 22 | 23 | ### 前提条件 24 | 25 | CodeGate 以 Docker 容器的形式分发。您需要一个容器运行时,如 Docker Desktop 或 Docker Engine。同时也支持 Podman 和 Podman Desktop。CodeGate 可在 Windows、macOS 和 Linux 操作系统上运行,支持 x86_64 和 arm64(ARM 和 Apple Silicon)CPU 架构。 26 | 27 | 以下说明基于 `docker` CLI 可用的前提。如果您使用 Podman,请在所有命令中将 `docker` 替换为 `podman`。 28 | 29 | ### 安装 30 | 31 | 要启动 CodeGate,运行这个简单的命令(确保将 deepseek.com URL 作为 `CODEGATE_PROVIDER_OPENAI_URL` 环境变量传入): 32 | 33 | ```bash 34 | docker run --name codegate -d -p 8989:8989 -p 9090:9090 -p 8990:8990 \ 35 | -e CODEGATE_PROVIDER_OPENAI_URL=https://api.deepseek.com \ 36 | --mount type=volume,src=codegate_volume,dst=/app/codegate_volume \ 37 | --restart unless-stopped ghcr.io/stacklok/codegate:latest 38 | ``` 39 | 40 | 就是这样!CodeGate 现在在本地运行了。 41 | 42 | ### 在 Continue 中使用 CodeGate 和 🐋 Deepseek 43 | 44 | 要在 Continue 中使用 CodeGate,打开 Continue 设置并添加以下配置: 45 | 46 | ```json 47 | { 48 | "title": "Deepseek-r1", 49 | "provider": "openai", 50 | "model": "deepseek-ai/DeepSeek-R1-Distill-Qwen-32B", 51 | "apiKey": "YOUR_DEEPSEEK_API_KEY", 52 | "apiBase": "http://localhost:8989/openai", 53 | } 54 | ``` 55 | 56 | 像往常一样使用 Continue,您不再需要担心安全或隐私问题! 57 | 58 | ![continue-image](](https://github.com/deepseek/awesome-deepseek-integration/blob/codegate/docs/codegate/assets/continue-screen.png)) 59 | 60 | ### 在 Cline 中使用 CodeGate 和 🐋 Deepseek 61 | 62 | 要在 Cline 中使用 CodeGate,打开 Cline 设置并添加以下配置: 63 | 64 | ![cline-settings](https://github.com/deepseek/awesome-deepseek-integration/blob/codegate/docs/codegate/assets/cline-settings.png) 65 | 66 | 像往常一样使用 Cline,您不再需要担心安全或隐私问题! 67 | 68 | ![cline-image](https://github.com/deepseek/awesome-deepseek-integration/blob/codegate/docs/codegate/assets/cline-screen.png) 69 | 70 | --- 71 | ## 🖥️ 仪表板 72 | 73 | CodeGate 包含一个 Web 仪表板,提供: 74 | 75 | - CodeGate 检测到的**安全风险**视图 76 | - AI 编码助手与 LLM 之间的**交互历史** 77 | 78 | 79 | 80 | CodeGate dashboard 81 | 82 | 83 | ### 访问仪表板 84 | 85 | 在您的网络浏览器中打开 [http://localhost:9090](http://localhost:9090) 以访问仪表板。 86 | 87 | 要了解更多信息,请访问 [CodeGate 仪表板文档](https://docs.codegate.ai/how-to/dashboard)。 88 | 89 | --- 90 | ## 🔐 功能 91 | 92 | ### 机密加密 93 | 94 | CodeGate 通过使用加密对检测到的机密进行编辑,帮助您防止敏感信息意外暴露给 AI 模型和第三方 AI 提供商系统。 95 | [了解更多](https://docs.codegate.ai/features/secrets-encryption) 96 | 97 | ### 依赖风险意识 98 | 99 | LLM 的知识截止日期通常是几个月甚至几年前。它们可能会建议过时的、易受攻击的或不存在的包(幻觉),使您和您的用户面临安全风险。 100 | 101 | CodeGate 扫描您作为上下文提供给 LLM 的包定义文件、安装脚本和源代码导入中的直接依赖、传递依赖和开发依赖。 102 | [了解更多](https://docs.codegate.ai/features/dependency-risk) 103 | 104 | ### 安全审查 105 | 106 | CodeGate 执行以安全为中心的代码审查,识别不安全的模式或潜在的漏洞,帮助您采用更安全的编码实践。 107 | [了解更多](https://docs.codegate.ai/features/security-reviews) 108 | 109 | --- 110 | ## 🛡️ 隐私优先 111 | 112 | 与其他工具不同,使用 CodeGate **您的代码永远不会离开您的机器**。CodeGate 以隐私为核心构建: 113 | 114 | - 🏠 **所有数据均本地存储** 115 | - 🚫 **没有外部数据收集** 116 | - 🔐 **没有回传或遥测** 117 | - 💪 **完全控制您的数据** 118 | 119 | --- 120 | ## 🛠️ 开发 121 | 122 | 您是想要贡献的开发者吗?深入了解我们的技术资源: 123 | 124 | - [开发指南](https://github.com/stacklok/codegate/blob/main/docs/development.md) 125 | - [CLI 命令和标志](https://github.com/stacklok/codegate/blob/main/docs/cli.md) 126 | - [配置系统](https://github.com/stacklok/codegate/blob/main/docs/configuration.md) 127 | - [日志系统](https://github.com/stacklok/codegate/blob/main/docs/logging.md) 128 | 129 | --- 130 | ## 📜 许可证 131 | 132 | CodeGate 根据 [LICENSE 文件](https://github.com/stacklok/codegate/blob/main/LICENSE) 中指定的条款获得许可。 -------------------------------------------------------------------------------- /docs/codegate/assets/cline-screen.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/codegate/assets/cline-screen.png -------------------------------------------------------------------------------- /docs/codegate/assets/cline-settings.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/codegate/assets/cline-settings.png -------------------------------------------------------------------------------- /docs/codegate/assets/codegate.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/codegate/assets/codegate.png -------------------------------------------------------------------------------- /docs/codegate/assets/continue-screen.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/codegate/assets/continue-screen.png -------------------------------------------------------------------------------- /docs/continue/README.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | # [Continue](https://continue.dev/) 4 | 5 | An open-source autopilot in your IDE. 6 | Continue will generate, refactor, and explain entire sections of code with LLMs. 7 | 8 | ## UI 9 | 10 | ![image](https://github.com/deepseek-ai/awesome-deepseek-integration/assets/59196087/094e9dc8-03d0-493d-95fb-6129a42a35bd) 11 | 12 | ## Integrate with DeepSeek API 13 | 14 | Modify the `config.yaml` file to add the `DeepSeek` model configuration, replacing `YOUR_DEEPSEEK_API_KEY` with your DeepSeek API Key. 15 | 16 | * `~/.continue/config.yaml` (MacOS/Linux) 17 | * `%USERPROFILE%\.continue\config.yaml` (Windows) 18 | 19 | ```yaml 20 | name: Local Assistant 21 | version: 1.0.0 22 | schema: v1 23 | models: 24 | - name: DeepSeek 25 | provider: deepseek 26 | model: deepseek-chat 27 | apiKey: YOUR_DEEPSEEK_API_KEY 28 | apiBase: https://api.deepseek.com/beta 29 | roles: 30 | - chat 31 | - edit 32 | - apply 33 | - summarize 34 | - autocomplete 35 | contextLength: 128000 36 | defaultCompletionOptions: 37 | temperature: 0.0 38 | maxTokens: 256 39 | context: 40 | - provider: code 41 | - provider: docs 42 | - provider: diff 43 | - provider: terminal 44 | - provider: problems 45 | - provider: folder 46 | - provider: codebase 47 | ``` 48 | -------------------------------------------------------------------------------- /docs/continue/README_cn.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | # [Continue](https://continue.dev/) 4 | 5 | 开源 IDE 插件，使用 LLM 做你的编程助手. 6 | 7 | ## UI 8 | 9 | ![image](https://github.com/deepseek-ai/awesome-deepseek-integration/assets/59196087/094e9dc8-03d0-493d-95fb-6129a42a35bd) 10 | 11 | ## 接入 DeepSeek API 12 | 13 | 修改 `config.yaml` 文件，添加 `DeepSeek` 模型配置，将 `YOUR_DEEPSEEK_API_KEY` 替换为你的 DeepSeek API Key。 14 | 15 | * `~/.continue/config.yaml` (MacOS/Linux) 16 | * `%USERPROFILE%\.continue\config.yaml` (Windows) 17 | 18 | ```yaml 19 | name: Local Assistant 20 | version: 1.0.0 21 | schema: v1 22 | models: 23 | - name: DeepSeek 24 | provider: deepseek 25 | model: deepseek-chat 26 | apiKey: YOUR_DEEPSEEK_API_KEY 27 | apiBase: https://api.deepseek.com/beta 28 | roles: 29 | - chat 30 | - edit 31 | - apply 32 | - summarize 33 | - autocomplete 34 | contextLength: 128000 35 | defaultCompletionOptions: 36 | temperature: 0.0 37 | maxTokens: 256 38 | context: 39 | - provider: code 40 | - provider: docs 41 | - provider: diff 42 | - provider: terminal 43 | - provider: problems 44 | - provider: folder 45 | - provider: codebase 46 | ``` 47 | -------------------------------------------------------------------------------- /docs/curator/README.md: -------------------------------------------------------------------------------- 1 | 2 | ![image](https://raw.githubusercontent.com/bespokelabsai/curator/main/docs/Bespoke-Labs-Logomark-Red-crop.png) 3 | 4 | 5 | # [Curator](https://github.com/bespokelabsai/curator) 6 | 7 | 8 | Curator is an open-source tool to curate large scale datasets for post-training LLMs. 9 | 10 | Curator was used to curate [Bespoke-Stratos-17k](https://huggingface.co/datasets/bespokelabs/Bespoke-Stratos-17k), a reasoning dataset to train a fully open reasoning model [Bespoke-Stratos](https://www.bespokelabs.ai/blog/bespoke-stratos-the-unreasonable-effectiveness-of-reasoning-distillation). 11 | 12 | 13 | ### Curator supports: 14 | 15 | - Calling Deepseek API for scalable synthetic data curation 16 | - Easy structured data extraction 17 | - Caching and automatic recovery 18 | - Dataset visualization 19 | - Saving $$$ using batch mode 20 | 21 | ### Call Deepseek API with Curator easily: 22 | 23 | ![image](https://pbs.twimg.com/media/GiLHb-xasAAbs4m?format=jpg&name=4096x4096) 24 | 25 | # Get Started here 26 | 27 | - [Colab Example](https://colab.research.google.com/drive/1Z78ciwHIl_ytACzcrslNrZP2iwK05eIF?usp=sharing) 28 | - [Github Repo](https://github.com/bespokelabsai/curator) 29 | - [Documentation](https://docs.bespokelabs.ai/) 30 | - [Discord](https://discord.com/invite/KqpXvpzVBS) 31 | -------------------------------------------------------------------------------- /docs/curator/README_cn.md: -------------------------------------------------------------------------------- 1 | ![image](https://raw.githubusercontent.com/bespokelabsai/curator/main/docs/Bespoke-Labs-Logomark-Red-crop.png) 2 | 3 | 4 | # [Curator](https://github.com/bespokelabsai/curator) 5 | 6 | 7 | Curator 是一个用于后训练大型语言模型 (LLMs) 和结构化数据提取的制作与管理可扩展的数据集的开源工具。 8 | 9 | Curator 被用来制作 [Bespoke-Stratos-17k](https://huggingface.co/datasets/bespokelabs/Bespoke-Stratos-17k)，这是一个用于训练完全开源的推理模型 [Bespoke-Stratos](https://www.bespokelabs.ai/blog/bespoke-stratos-the-unreasonable-effectiveness-of-reasoning-distillation) 的推理数据集。 10 | 11 | 12 | ### Curator 支持： 13 | 14 | - 调用 Deepseek API 进行可扩展的合成数据管理 15 | - 简便的结构化数据提取 16 | - 缓存和自动恢复 17 | - 数据集可视化 18 | - 使用批处理模式节省费用 19 | 20 | ### 轻松使用 Curator 调用 Deepseek API： 21 | 22 | ![image](https://pbs.twimg.com/media/GiLHb-xasAAbs4m?format=jpg&name=4096x4096) 23 | 24 | # 从这里开始 25 | 26 | - [Colab 示例](https://colab.research.google.com/drive/1Z78ciwHIl_ytACzcrslNrZP2iwK05eIF?usp=sharing) 27 | - [Github 仓库](https://github.com/bespokelabsai/curator) 28 | - [文档](https://docs.bespokelabs.ai/) 29 | - [Discord](https://discord.com/invite/KqpXvpzVBS) -------------------------------------------------------------------------------- /docs/cursor/README.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | # [Cursor](https://www.cursor.com/) 4 | 5 | Cursor is the AI Code Editor 6 | 7 | ## Just follow these steps: 8 | 9 | 1. in Cursor Settings disable all models 10 | 2. add `deepseek-coder` as new model 11 | 3. in Open AI API Key add https://api.deepseek.com/beta as URL - add your API key. 12 | 13 | # UI 14 | 15 | ![image](assets/cursor-setting.png) -------------------------------------------------------------------------------- /docs/cursor/README_cn.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | # [Cursor](https://www.cursor.com/) 4 | 5 | Cursor 是一个 AI 代码编辑器 6 | 7 | ## 只需按照以下步骤操作： 8 | 9 | 1. 在 Cursor 设置中禁用所有模型 10 | 2. 添加 `deepseek-coder` 作为新模型 11 | 3. 在 Open AI API Key 中添加 https://api.deepseek.com/beta 作为 URL - 添加您的 API 密钥。 12 | 13 | # UI 14 | 15 | ![image](assets/cursor-setting.png) -------------------------------------------------------------------------------- /docs/cursor/assets/cursor-setting.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/cursor/assets/cursor-setting.png -------------------------------------------------------------------------------- /docs/dbgpt/README.md: -------------------------------------------------------------------------------- 1 | # [DB-GPT](https://github.com/eosphoros-ai/DB-GPT) 2 | 3 | 🤖 DB-GPT is an open source AI native data app development framework with AWEL(Agentic Workflow Expression Language) and agents. 4 | 5 | The purpose is to build infrastructure in the field of large models, through the development of multiple technical capabilities such as multi-model management (SMMF), Text2SQL effect optimization, RAG framework and optimization, Multi-Agents framework collaboration, AWEL (agent workflow orchestration), etc. Which makes large model applications with data simpler and more convenient. 6 | ## UI 7 | 8 | ![image](assets/dbgpt_ui_en.jpg) 9 | 10 | 11 | ## Data Analysis with Deepseek API 12 | 13 | ![image](assets/dbgpt_chat_data_en.jpg) 14 | 15 | 16 | ## Datasources 17 | 18 | ![image](assets/dbgpt_datasource_en.jpg) 19 | -------------------------------------------------------------------------------- /docs/dbgpt/README_cn.md: -------------------------------------------------------------------------------- 1 | # [DB-GPT](https://github.com/eosphoros-ai/DB-GPT) 2 | 3 | DB-GPT是一个开源的AI原生数据应用开发框架(AI Native Data App Development framework with AWEL(Agentic Workflow Expression Language) and Agents)。 4 | 5 | 目的是构建大模型领域的基础设施，通过开发多模型管理(SMMF)、Text2SQL效果优化、RAG框架以及优化、Multi-Agents框架协作、AWEL(智能体工作流编排)等多种技术能力，让围绕数据库构建大模型应用更简单，更方便。 6 | 7 | 8 | ## UI 9 | 10 | ![image](assets/dbgpt_ui.jpg) 11 | 12 | 13 | ## 数据分析 with Deepseek API 14 | 15 | ![image](assets/dbgpt_chat_data.jpg) 16 | 17 | ## Datasources 18 | 19 | ![image](assets/dbgpt_datasource.jpg) -------------------------------------------------------------------------------- /docs/dbgpt/assets/dbgpt_chat_data.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/dbgpt/assets/dbgpt_chat_data.jpg -------------------------------------------------------------------------------- /docs/dbgpt/assets/dbgpt_chat_data_en.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/dbgpt/assets/dbgpt_chat_data_en.jpg -------------------------------------------------------------------------------- /docs/dbgpt/assets/dbgpt_datasource.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/dbgpt/assets/dbgpt_datasource.jpg -------------------------------------------------------------------------------- /docs/dbgpt/assets/dbgpt_datasource_en.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/dbgpt/assets/dbgpt_datasource_en.jpg -------------------------------------------------------------------------------- /docs/dbgpt/assets/dbgpt_ui.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/dbgpt/assets/dbgpt_ui.jpg -------------------------------------------------------------------------------- /docs/dbgpt/assets/dbgpt_ui_en.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/dbgpt/assets/dbgpt_ui_en.jpg -------------------------------------------------------------------------------- /docs/deepshare/README.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | # [Tiny AI Bee - Deep Sharing](https://www.deepshare.top/) 5 | 6 | [Tiny AI Bee - Deep Sharing](https://www.deepshare.top/intro) is a free login-free one-click grease monkey plugin for sharing AI chats, 7 | 8 | Specialized in solving the problem of sending thousands of words of AI Q&A to friends, causing their phones to be brushed, or long screenshots to be compressed and opened blurred, not easy to read. 9 | 10 | Satisfy users' need to share their crystallized wisdom with AI to others 11 | 12 | You can set the access code/expiry date/whether to make it public or not, and synchronize the sharing history of mobile phone/PC computer. 13 | 14 | Tiny AI Bee is also a convenient AI wisdom sharing community that supports users to like/favorite/follow/reward/withdraw cash. 15 | 16 | [xhai Browser](https://www.dahai123.top/) default installation, while supporting via browser/X browser, etc., PC computer side support Grease Monkey plug-in browser use. 17 | 18 | 19 | ## UI 20 | 21 | -------------------------------------------------------------------------------- /docs/deepshare/README_cn.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | # [小智蜂·深度分享](https://www.deepshare.top/) 5 | 6 | [小智蜂·深度分享 ](https://www.deepshare.top/intro) 是免费免登录一键分享AI聊天的油猴插件 7 | 8 | 专门解决数千字AI问答发给朋友,导致其手机被刷屏,或长截图被压缩,打开模糊不清,不方便阅读的问题. 9 | 10 | 满足用户将自己与AI智慧的结晶分享给他人的需求 11 | 12 | 可设置分享的访问码/有效期/是否公开,手机/PC电脑多端同步分享历史. 13 | 14 | 小智蜂也是便捷的AI智慧分享社区,支持用户点赞/收藏/关注/打赏/提现等. 15 | 16 | [小海浏览器](https://www.dahai123.top/) 默认安装,同时支持via浏览器/X浏览器等,PC电脑端支持油猴插件的浏览器使用. 17 | 18 | 19 | ## UI 20 | 21 | 22 | 23 | 24 | 25 | -------------------------------------------------------------------------------- /docs/deepshare/assets/ds2_1t.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/deepshare/assets/ds2_1t.png -------------------------------------------------------------------------------- /docs/deepshare/assets/logo_200.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/deepshare/assets/logo_200.png -------------------------------------------------------------------------------- /docs/deepspace/README.md: -------------------------------------------------------------------------------- 1 | # DeepSpace 2 | 3 | DeepSpace is a tool for debugging the DeepSeek API, developed by the community and inspired by [MoonPalace](https://github.com/MoonshotAI/moonpalace?tab=readme-ov-file). 4 | 5 | [简体中文](README_cn.md) 6 | 7 | ## Features 8 | 9 | - **Cross-platform Support:** 10 | - [x] Mac 11 | - [x] Windows 12 | - [x] Linux 13 | - **User-friendly**: Simply replace `base_url` with `http://localhost:9988` after starting the service to begin debugging. 14 | - **Complete Request Capture**, including error details in case of network failures. 15 | - **Fast Retrieval**: Quickly search and view request information using `request_id` or `chatcmpl_id`. 16 | - **One-click Export of Structured BadCase Reports**, aiding DeepSeek in enhancing model capabilities. 17 | 18 | **It is recommended to use DeepSpace as your API “provider” during code development and debugging stages. This allows you to quickly identify and resolve issues related to API calls and code implementation. For any unexpected outputs from the DeepSeek large model, you can also export request details via DeepSpace and submit them to DeepSeek to help improve the model.** 19 | 20 | ## Installation 21 | 22 | ### Install using the `go` command 23 | 24 | If you have the `go` toolchain installed, you can install DeepSpace by executing the following command: 25 | 26 | ```shell 27 | $ go install github.com/2404589803/deepspace@latest 28 | ``` 29 | 30 | This command will install the compiled binary in your `$GOPATH/bin/` directory. To verify the installation, run the following command: 31 | 32 | ```shell 33 | $ deepspace 34 | DeepSpace is a command-line tool for debugging the DeepSeek AI HTTP API 35 | 36 | Usage: 37 | deepspace [command] 38 | 39 | Available Commands: 40 | cleanup Cleanup DeepSeek AI requests 41 | completion Generate the autocompletion script for the specified shell 42 | export Export a DeepSeek AI request 43 | help Help about any command 44 | inspect Inspect the specific content of a DeepSeek AI request 45 | list Query DeepSeek AI requests based on conditions 46 | start Start the DeepSpace proxy server 47 | 48 | Flags: 49 | -h, --help help for deepspace 50 | -v, --version version for deepspace 51 | 52 | Use "deepspace [command] --help" for more information about a command. 53 | ``` 54 | 55 | *If the `deepspace` binary is not found, try adding the `$GOPATH/bin/` directory to your `$PATH` environment variable.* 56 | 57 | ### Download Executable from the Releases Page 58 | 59 | Alternatively, you can download the precompiled binary from the [Releases](https://github.com/2404589803/deepspace/releases) page: 60 | 61 | - deepspace-linux 62 | - deepspace-macos-amd64 => for Intel-based Macs 63 | - deepspace-macos-arm64 => for Apple Silicon-based Macs 64 | - deepspace-windows.exe 65 | 66 | ## Usage 67 | 68 | ### Starting the Service 69 | 70 | Use the following command to start the DeepSpace proxy server: 71 | 72 | ```shell 73 | $ deepspace start --port 74 | ``` 75 | 76 | DeepSpace will start a local HTTP server. The `--port` parameter specifies the local port that DeepSpace listens to, with a default value of `9988`. Upon successful startup, the following message will be displayed: 77 | 78 | ```shell 79 | [DeepSpace] 2024/08/26 12:12:26 DeepSpace Starts => change base_url to "http://127.0.0.1:9988/v1" 80 | ``` 81 | 82 | You can submit the exported files to the following email: 83 | 84 | [api-service@deepseek.com](mailto:api-service@deepseek.com) 85 | -------------------------------------------------------------------------------- /docs/deepspace/README_cn.md: -------------------------------------------------------------------------------- 1 | # DeepSpace 2 | 3 | DeepSpace（深度空间）是一款用于调试 DeepSeek API 的工具，由社区制作，灵感来源于 [MoonPalace](https://github.com/MoonshotAI/moonpalace?tab=readme-ov-file)。 4 | 5 | [Read this in English](README.md) 6 | 7 | ## 特性 8 | 9 | - **全平台支持：** 10 | - [x] Mac 11 | - [x] Windows 12 | - [x] Linux 13 | - **简单易用**：启动后只需将 `base_url` 替换为 `http://localhost:9988` 即可开始调试。 14 | - **捕获完整请求**，包括网络错误时的“事故现场”。 15 | - **快速检索**：通过 `request_id`、`chatcmpl_id` 快速检索、查看请求信息。 16 | - **一键导出 BadCase 结构化上报数据**，帮助 DeepSeek 完善模型能力。 17 | 18 | **推荐在代码编写和调试阶段使用 DeepSpace 作为你的 API “供应商”，以便能快速发现和定位关于 API 调用和代码编写过程中的各种问题。对于 DeepSeek 大模型各种不符合预期的输出，你也可以通过 DeepSpace 导出请求详情并提交给 DeepSeek 以改进 DeepSeek 的大模型。** 19 | 20 | ## 安装方式 21 | 22 | ### 使用 `go` 命令安装 23 | 24 | 如果你已经安装了 `go` 工具链，可以执行以下命令来安装： 25 | 26 | ```shell 27 | $ go install github.com/2404589803/deepspace@latest 28 | ``` 29 | 30 | 上述命令会在你的 `$GOPATH/bin/` 目录中安装编译后的二进制文件。运行 `deepspace` 命令来检查是否成功安装： 31 | 32 | ```shell 33 | $ deepspace 34 | DeepSpace is a command-line tool for debugging the DeepSeek AI HTTP API 35 | 36 | Usage: 37 | deepspace [command] 38 | 39 | Available Commands: 40 | cleanup Cleanup DeepSeek AI requests 41 | completion Generate the autocompletion script for the specified shell 42 | export Export a DeepSeek AI request 43 | help Help about any command 44 | inspect Inspect the specific content of a DeepSeek AI request 45 | list Query DeepSeek AI requests based on conditions 46 | start Start the DeepSpace proxy server 47 | 48 | Flags: 49 | -h, --help help for deepspace 50 | -v, --version version for deepspace 51 | 52 | Use "deepspace [command] --help" for more information about a command. 53 | ``` 54 | 55 | *如果你仍然无法检索到 `deepspace` 二进制文件，请尝试将 `$GOPATH/bin/` 目录添加到你的 `$PATH` 环境变量中。* 56 | 57 | ### 从 Releases 页面下载二进制（可执行）文件 58 | 59 | 你也可以从 [Releases](https://github.com/2404589803/deepspace/releases) 页面下载编译好的二进制文件： 60 | 61 | - deepspace-linux 62 | - deepspace-macos-amd64 => 对应 Intel 版本的 Mac 63 | - deepspace-macos-arm64 => 对应 Apple Silicon 版本的 Mac 64 | - deepspace-windows.exe 65 | 66 | ## 使用方式 67 | 68 | ### 启动服务 69 | 70 | 使用以下命令启动 DeepSpace 代理服务器： 71 | 72 | ```shell 73 | $ deepspace start --port 74 | ``` 75 | 76 | DeepSpace 会在本地启动一个 HTTP 服务器，`--port` 参数指定 DeepSpace 监听的本地端口，默认值为 `9988`。当 DeepSpace 启动成功时，会输出： 77 | 78 | ```shell 79 | [DeepSpace] 2024/08/26 12:12:26 DeepSpace Starts => change base_url to "http://127.0.0.1:9988/v1" 80 | ``` 81 | 82 | 你可以将导出的文件投递至以下邮箱： 83 | 84 | [api-service@deepseek.com](mailto:api-service@deepseek.com) -------------------------------------------------------------------------------- /docs/dingtalk/README.md: -------------------------------------------------------------------------------- 1 | ![dingtalk.png](assets/dingtalk.png) 2 | 3 | # DingTalk AI Assistant 4 | Supports users in independently selecting different DeepSeek models for task inference. 5 | 6 | - Currently, three major DeepSeek versions are available for user selection: 7 | - DeepSeek-R1 32B Distilled Version 8 | - DeepSeek-R1 671B Full-Power Version 9 | - DeepSeek-V3 671B Full-Power Version 10 | 11 | ![dingtalk_ai_assistant.png](assets/dingtalk_ai_assistant.png) -------------------------------------------------------------------------------- /docs/dingtalk/README_cn.md: -------------------------------------------------------------------------------- 1 | ![dingtalk.png](assets/dingtalk.png) 2 | 3 | #钉钉AI助理 4 | 支持用户自助选择deepseek不同模型进行任务推理 5 | - 目前支持deepseek三个大版本可供用户自助选择 6 | - deepseek-R1 32B蒸馏版本 7 | - deepseek-R1 671B满血版本 8 | - deepseek-V3 671B满血版本 9 | 10 | 11 | ![dingtalk_ai_assistant.png](assets/dingtalk_ai_assistant.png) -------------------------------------------------------------------------------- /docs/dingtalk/assets/dingtalk.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/dingtalk/assets/dingtalk.png -------------------------------------------------------------------------------- /docs/dingtalk/assets/dingtalk_ai_assistant.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/dingtalk/assets/dingtalk_ai_assistant.png -------------------------------------------------------------------------------- /docs/dingtalk/assets/dingtalk_icon.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/dingtalk/assets/dingtalk_icon.png -------------------------------------------------------------------------------- /docs/dingtalk/img.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/dingtalk/img.png -------------------------------------------------------------------------------- /docs/docky-ai/README.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | # [Docky AI](https://docky.ai) 4 | 5 | [Docky AI](https://docky.ai) is a powerful browser extension that allows you to have real-time conversations with multiple AI models through a sidebar. It supports simultaneous communication with multiple models and can assist you in reading web pages, writing, translating, and creating images 6 | 7 | ## Installation 8 | * [Chrome Extension](https://chromewebstore.google.com/detail/miaadkeokbokhcgfndeofmfffhpchfne) 9 | * [Edge Extension](https://microsoftedge.microsoft.com/addons/detail/ifdhjlggobhfembihfpdogflohcdhdhl) 10 | 11 | ## UI 12 | 13 | -------------------------------------------------------------------------------- /docs/docky-ai/README_cn.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | # [Docky AI](https://docky.ai) 4 | 5 | [Docky AI](https://docky.ai) 是一款功能强大的浏览器插件，允许您通过侧边栏与多个 AI 模型进行实时对话。它支持多模型同时交流，并能协助您阅读网页、写作、翻译和创作图片 6 | 7 | ## Installation 8 | * [Chrome Extension](https://chromewebstore.google.com/detail/miaadkeokbokhcgfndeofmfffhpchfne) 9 | * [Edge Extension](https://microsoftedge.microsoft.com/addons/detail/ifdhjlggobhfembihfpdogflohcdhdhl) 10 | 11 | ## UI 12 | 13 | -------------------------------------------------------------------------------- /docs/docky-ai/README_ja.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | # [Docky AI](https://docky.ai) 4 | 5 | [Docky AI](https://docky.ai) は強力なブラウザ拡張機能で、サイドバーを通じて複数のAIモデルとリアルタイムで会話することができます。複数モデルとの同時交流をサポートし、ウェブページの閲覧、執筆、翻訳、画像作成を支援します 6 | 7 | ## Installation 8 | * [Chrome Extension](https://chromewebstore.google.com/detail/miaadkeokbokhcgfndeofmfffhpchfne) 9 | * [Edge Extension](https://microsoftedge.microsoft.com/addons/detail/ifdhjlggobhfembihfpdogflohcdhdhl) 10 | 11 | ## UI 12 | -------------------------------------------------------------------------------- /docs/eechat/assets/README.md: -------------------------------------------------------------------------------- 1 |
2 | EE Chat Application Screenshot 3 |

eechat

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🚀 Powerful Local AI Chat Application - Secure, Efficient, Personalized

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English | 简体中文

6 | 7 |

8 | Core Advantages • 9 | Key Features • 10 | Local Deployment • 11 | Quick Start • 12 | Tech Stack • 13 | Contribute • 14 | License 15 |

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18 | 19 | EE Chat Application Screenshot 20 | 21 | ## Core Advantages 22 | 23 | eechat is an AI chat application focused on local deployment, providing users with a secure, private, and efficient AI conversation experience. 24 | 25 | ### 🔒 Data Security & Privacy Protection 26 | 27 | - **Fully Local Storage**: All conversation data is stored locally, eliminating privacy leak risks 28 | 29 | EE Chat Application Screenshot 30 | 31 | - **Offline Capability**: No continuous internet connection required after initial setup 32 | - **API Customization**: Connect to your own AI model API or third-party services, maintaining full data flow control 33 | 34 | EE Chat Application Screenshot 35 | 36 | ### 💬 Superior Conversation Experience 37 | 38 | - **Multi-Session Management**: Easily create and manage multiple independent conversations 39 | - **History Tracking**: Automatically save all conversation history for review and continuation 40 | - **Perfect Markdown Support**: Precise rendering of Markdown format, including code blocks, tables, and math formulas 41 | - **Smart Code Highlighting**: Automatic code block detection and highlighting for multiple programming languages 42 | 43 | ### 🎨 Personalization Options 44 | 45 | - **Theme Switching**: Built-in light and dark themes for different scenarios and preferences 46 | - **Prompt Management**: Save and manage frequently used prompts to improve conversation efficiency 47 | - **Model Parameter Tuning**: Flexibly adjust temperature, max output, and other parameters for optimal responses 48 | 49 | ### 🔌 Powerful Extensibility 50 | 51 | - **Plugin Ecosystem**: Support for functional extensions to meet specific scenario needs 52 | - **Multi-Model Integration**: Easy integration with various AI model APIs like OpenAI, Anthropic, etc. 53 | - **Custom Model Support**: Configure and use custom local or remote AI models 54 | 55 | ## Key Features 56 | 57 | ### Enhanced Intelligent Conversation 58 | 59 | - **Context Understanding**: AI maintains context coherence in long conversations 60 | - **Multi-Turn Optimization**: Enhanced interaction experience for complex queries 61 | - **Knowledge Base Integration**: Connect custom knowledge bases for more accurate domain-specific responses 62 | 63 | ### Developer-Friendly 64 | 65 | - **Code Generation & Explanation**: Optimized code generation capabilities supporting multiple programming languages 66 | - **API Documentation Generation**: Assist developers in quickly generating API documentation 67 | - **Debug Assistance**: Help identify code issues and provide fix suggestions 68 | 69 | ### Productivity Tools 70 | 71 | - **Document Summarization**: Quickly summarize long document content 72 | - **Mind Map Generation**: Transform complex concepts into structured mind maps 73 | - **Multi-Language Translation**: Support high-quality translation between multiple languages 74 | 75 | ## Local Deployment 76 | 77 | eechat is designed for local deployment, ensuring your data security and optimal user experience. 78 | 79 | ### System Requirements 80 | 81 | - Windows 10/11 64-bit 82 | - macOS 10.15+ 83 | - Linux (Ubuntu 18.04+, Debian 10+) 84 | - Minimum 4GB RAM 85 | - 500MB available disk space 86 | - GPU with CUDA support (optional) 8GB+ (win) 87 | 88 | ### Installation Methods 89 | 90 | #### Download Pre-built Packages 91 | 92 | Download the appropriate installation package for your system from the [releases page](https://github.com/Lucassssss/eechat/releases): 93 | 94 | #### Build from Source 95 | 96 | ```bash 97 | # Clone repository 98 | git clone https://github.com/Lucassssss/eechat.git 99 | cd eechat 100 | 101 | # Install dependencies 102 | npm install 103 | 104 | # Run in development mode 105 | npm run dev 106 | 107 | # Build application 108 | npm run build 109 | ``` -------------------------------------------------------------------------------- /docs/eechat/assets/README.zh-CN.md: -------------------------------------------------------------------------------- 1 |
2 | EE 聊天应用截图 3 |

eechat

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🚀 强大的本地化 AI 聊天应用 - 安全、高效、个性化

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English | 简体中文

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8 | 核心优势 • 9 | 主要功能 • 10 | 本地化部署 • 11 | 快速开始 • 12 | 技术栈 • 13 | 参与贡献 • 14 | 开源协议 15 |

16 | 17 |
18 | 19 | EE 聊天应用截图 20 | 21 | ## 核心优势 22 | 23 | eechat是一款专注于本地化部署的 AI 聊天应用，为用户提供安全、私密且高效的人工智能对话体验。 24 | 25 | ### 🔒 数据安全与隐私保护 26 | 27 | - **完全本地存储**：所有对话数据均存储于本地，杜绝隐私泄露风险 28 | 29 | 30 | 本地模型界面 31 | 32 | 33 | - **离线能力**：初始化设置后无需持续联网 34 | - **API 自定义**：可连接自有 AI 模型 API 或第三方服务，全程掌控数据流向 35 | 36 | 37 | 38 | API 模型设置 39 | 40 | ### 💬 卓越对话体验 41 | 42 | - **多会话管理**：轻松创建和管理多个独立对话 43 | - **历史追溯**：自动保存全部对话记录，支持随时查阅与续聊 44 | - **完美 Markdown 支持**：精准渲染代码块、表格、数学公式等格式 45 | - **智能代码高亮**：自动检测并高亮多种编程语言代码块 46 | 47 | ### 🎨 个性化定制 48 | 49 | - **主题切换**：内置明暗双色模式，适应不同场景需求 50 | - **提示词管理**：保存常用提示模板，提升对话效率 51 | - **模型参数调节**：灵活调整温度值、最大输出等参数获取最佳响应 52 | 53 | ### 🔌 强大扩展性 54 | 55 | - **插件生态**：支持功能扩展，满足特定场景需求 56 | - **多模型集成**：轻松对接 OpenAI、Anthropic 等各类 AI 模型 API 57 | - **自定义模型支持**：配置使用自有本地或远程 AI 模型 58 | 59 | ## 主要功能 60 | 61 | ### 增强智能对话 62 | 63 | - **上下文理解**：AI 可在长对话中保持语境连贯 64 | - **多轮优化**：针对复杂查询的增强交互体验 65 | - **知识库整合**：连接自定义知识库获取更精准的领域响应 66 | 67 | ### 开发者友好 68 | 69 | - **代码生成与解释**：优化多编程语言的代码生成能力 70 | - **API 文档生成**：协助开发者快速生成接口文档 71 | - **调试辅助**：帮助识别代码问题并提供修复建议 72 | 73 | ### 生产力工具 74 | 75 | - **文档摘要**：快速提炼长文档核心内容 76 | - **思维导图生成**：将复杂概念转化为结构化视图 77 | - **多语言翻译**：支持多种语言的高质量互译 78 | 79 | ## 本地化部署 80 | 81 | eechat专为本地化部署设计，确保您的数据安全和最佳使用体验。 82 | 83 | ### 系统要求 84 | 85 | - Windows 10/11 64 位 86 | - macOS 10.15+ 87 | - Linux (Ubuntu 18.04+, Debian 10+) 88 | - 最低 4GB 内存 89 | - 500MB 可用存储空间 90 | - 支持 CUDA 的 GPU（可选）8GB+（Windows） 91 | 92 | ### 安装方式 93 | 94 | #### 下载预编译包 95 | 96 | 从[发布页面](https://github.com/Lucassssss/eechat/releases)下载适用于您系统的安装包： 97 | 98 | #### 源码编译 99 | 100 | ```bash 101 | # 克隆仓库 102 | git clone https://github.com/Lucassssss/eechat.git 103 | cd eechat 104 | 105 | # 安装依赖 106 | npm install 107 | 108 | # 开发模式运行 109 | npm run dev 110 | 111 | # 构建应用 112 | npm run build 113 | ``` -------------------------------------------------------------------------------- /docs/eechat/assets/logo.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/eechat/assets/logo.png -------------------------------------------------------------------------------- /docs/eechat/assets/logo.svg: -------------------------------------------------------------------------------- 1 | 2 | 3 | Created with Pixso. 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | -------------------------------------------------------------------------------- /docs/eechat/assets/resources/apimodel_dark.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/eechat/assets/resources/apimodel_dark.png -------------------------------------------------------------------------------- /docs/eechat/assets/resources/apimodel_light.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/eechat/assets/resources/apimodel_light.png -------------------------------------------------------------------------------- /docs/eechat/assets/resources/chat.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/eechat/assets/resources/chat.png -------------------------------------------------------------------------------- /docs/eechat/assets/resources/code.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/eechat/assets/resources/code.png -------------------------------------------------------------------------------- /docs/eechat/assets/resources/localmodel_dark.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/eechat/assets/resources/localmodel_dark.png -------------------------------------------------------------------------------- /docs/eechat/assets/resources/localmodel_light.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/eechat/assets/resources/localmodel_light.png -------------------------------------------------------------------------------- /docs/eechat/assets/resources/math.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/eechat/assets/resources/math.png -------------------------------------------------------------------------------- /docs/eechat/assets/resources/mini.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/eechat/assets/resources/mini.png -------------------------------------------------------------------------------- /docs/eino/assets/logo.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/eino/assets/logo.png -------------------------------------------------------------------------------- /docs/enconvo/README.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | # [Enconvo](https://www.enconvo.com/) 4 | 5 | Enconvo is the Launcher of the AI era, the entry point for all AI functions, and a thoughtful intelligent assistant. 6 | 7 | ## UI 8 | 9 | 10 | 11 | 12 | ## Integrate with Deepseek API 13 | 14 | 15 | -------------------------------------------------------------------------------- /docs/enconvo/README_cn.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | # [Enconvo](https://www.enconvo.com/) 4 | 5 | Enconvo是AI时代的启动器,是所有AI功能的入口,也是一位体贴的智能助理. 6 | 7 | ## UI 8 | 9 | 10 | 11 | 12 | ## 配置 deepseek API 13 | 14 | 15 | -------------------------------------------------------------------------------- /docs/fhe.mind-network/mind-network-log.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/fhe.mind-network/mind-network-log.png -------------------------------------------------------------------------------- /docs/gptbots/gptbots.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/gptbots/gptbots.png -------------------------------------------------------------------------------- /docs/hcfy/README.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | # [hcfy](https://hcfy.app/) 4 | 5 | hcfy (划词翻译) is a browser translation plugin that integrates multiple translation APIs and LLM APIs. 6 | 7 | ## UI 8 | ![image](https://github.com/deepseek-ai/awesome-deepseek-integration/assets/59196087/367a41b6-3277-4897-a53f-aaa17bb9dc53) 9 | 10 | 11 | ## Integrate with Deepseek API 12 | ![image](https://github.com/deepseek-ai/awesome-deepseek-integration/assets/13600976/b09c8c94-f0ce-4a83-9c97-3aaec58df712) 13 | ![image](https://github.com/deepseek-ai/awesome-deepseek-integration/assets/59196087/1aecc349-b0d9-46db-9e0f-0034e672cce4) 14 | ![image](https://github.com/deepseek-ai/awesome-deepseek-integration/assets/59196087/340188ac-617a-45df-a9b5-b1c47a4943a1) 15 | -------------------------------------------------------------------------------- /docs/hcfy/README_cn.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | # [划词翻译](https://hcfy.app/) 4 | 5 | 整合了多家翻译 API 以及 LLM API 的浏览器翻译插件. 6 | 7 | ## UI 8 | ![image](https://github.com/deepseek-ai/awesome-deepseek-integration/assets/59196087/367a41b6-3277-4897-a53f-aaa17bb9dc53) 9 | 10 | 11 | ## 配置 deepseek API 12 | ![image](https://github.com/deepseek-ai/awesome-deepseek-integration/assets/59196087/c28dad22-9102-4bb1-a32c-549472be5972) 13 | ![image](https://github.com/deepseek-ai/awesome-deepseek-integration/assets/59196087/1aecc349-b0d9-46db-9e0f-0034e672cce4) 14 | ![image](https://github.com/deepseek-ai/awesome-deepseek-integration/assets/59196087/340188ac-617a-45df-a9b5-b1c47a4943a1) 15 | -------------------------------------------------------------------------------- /docs/huixiangdou/README.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | # [HuixiangDou](https://github.com/InternLM/HuixiangDou) 4 | "HuixiangDou" is a domain knowledge assistant based on LLM. Features: 5 | 6 | 1. Handles complex scenarios such as group chat and handle answer user questions without flooding messages. 7 | 2. Proposes a solution for technical issues through an algorithm pipeline. 8 | 3. Low cost, see [arxiv2401.08772](https://arxiv.org/abs/2401.08772) 9 | 10 | # Demonstration 11 | HuixiangDou is a **assistant** 12 | * Says it doesn't know in response to halluciations 13 | * Personal Wechat supported 14 | * Feishu supported 15 | 16 | 17 | 18 | HuixiangDou is a **group** assistant 19 | * Ignores idle talk 20 | * Only interacts with those who need help 21 | 22 | 23 | 24 | HuixiangDou is a **domain knowledge** group assistant 25 | * Relies on an algorithm pipeline + LLM instead of training 26 | * Has faced thousands of users, and has been "teased" over 20,000 times in half a year 27 | 28 | 29 | 30 | # Configuring deepseek API 31 | **STEP1.** Apply for a token at deepseek open platform 32 | 33 | **STEP2.** Follow the HuixiangDou Advanced Configuration and fill in the config.ini with your token 34 | 35 | ```ini 36 | # config.ini 37 | [llm] 38 | enable_local = 0 39 | enable_remote = 1 40 | .. 41 | [llm.server] 42 | .. 43 | remote_type = "deepseek" 44 | remote_api_key = "YOUR-API-KEY" 45 | remote_llm_max_text_length = 16000 46 | remote_llm_model = "deepseek-chat" 47 | ``` 48 | 49 | **STEP3.** Run 50 | 51 | ```shell 52 | python3 -m huixiangdou.main --standalone 53 | ``` -------------------------------------------------------------------------------- /docs/huixiangdou/README_cn.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | # [茴香豆](https://github.com/InternLM/HuixiangDou) 4 | 5 | “茴香豆”是一个基于 LLM 的领域知识助手。特点： 6 | 7 | 1. 应对群聊这类复杂场景，解答用户问题的同时，不会消息泛滥 8 | 2. 提出一套解答技术问题的算法 pipeline 9 | 3. 部署成本低，见[技术报告 arxiv2401.08772](https://arxiv.org/abs/2401.08772) 10 | 11 | 12 | ## 效果展示 13 | 14 | 1. 它是个**机器人** 15 | 16 | * 面对幻觉会说不知道 17 | * 支持微信 18 | * 支持飞书 19 | 20 | 21 | 22 | 2. 它是个**群组**机器人 23 | 24 | * 不会搭理闲聊 25 | * 只找需要帮助的人 26 | 27 | 28 | 29 | 2. 它是个**领域知识**群组机器人 30 | 31 | * 不依赖训练，依靠算法 pipeline + LLM 32 | * 已经面对数千用户，半年被“调戏”了 2w 次以上 33 | 34 | 35 | 36 | ## 配置 deepseek API 37 | 38 | **STEP1.** 打开 [deepseek 开放平台](https://platform.deepseek.com) 申请 token 39 | 40 | **STEP2.** 参照 [HuixiangDou 高级配置](https://github.com/InternLM/HuixiangDou?tab=readme-ov-file#step4-advanced-version-optional)，把 token 填入 `config.ini` 41 | 42 | ```ini 43 | # config.ini 44 | [llm] 45 | enable_local = 0 46 | enable_remote = 1 47 | .. 48 | [llm.server] 49 | .. 50 | remote_type = "deepseek" 51 | remote_api_key = "YOUR-API-KEY" 52 | remote_llm_max_text_length = 16000 53 | remote_llm_model = "deepseek-chat" 54 | ``` 55 | 56 | **STEP3.** 运行 57 | ```shell 58 | python3 -m huixiangdou.main --standalone 59 | ``` -------------------------------------------------------------------------------- /docs/immersive_reading_guide/README.md: -------------------------------------------------------------------------------- 1 | Icon 2 | 3 | # [Immersive Reading Guide](https://chromewebstore.google.com/detail/immersive-reading-guide/jnjhalaghogaleoidplmjhjnemmakffp) 4 | 5 | NO Sidebar!!! Immersive AI web summarization, ask questions... 6 | 7 | ## Preview 8 | 9 | ![image](https://github.com/glidea/pages/blob/main/immersive-reading-guide/concepts.png?raw=true) 10 | 11 | ![image](https://github.com/glidea/pages/blob/main/immersive-reading-guide/table-en.png?raw=true) 12 | 13 | ![image](https://github.com/glidea/pages/blob/main/immersive-reading-guide/ask-en.png?raw=true) 14 | 15 | ## Deepseek API 16 | 17 | ![image](https://github.com/glidea/pages/blob/main/immersive-reading-guide/deepseel-model-config-en.png?raw=true) 18 | 19 | -------------------------------------------------------------------------------- /docs/immersive_reading_guide/README_cn.md: -------------------------------------------------------------------------------- 1 | Icon 2 | 3 | # [沉浸式导读](https://chromewebstore.google.com/detail/immersive-reading-guide/jnjhalaghogaleoidplmjhjnemmakffp) 4 | 5 | NO Sidebar!!! 沉浸式的 AI 网页摘要，提问... 6 | 7 | ## Preview 8 | 9 | ![image](https://github.com/glidea/pages/blob/main/immersive-reading-guide/concepts.png?raw=true) 10 | 11 | ![image](https://github.com/glidea/pages/blob/main/immersive-reading-guide/table.png?raw=true) 12 | 13 | ![image](https://github.com/glidea/pages/blob/main/immersive-reading-guide/ask.png?raw=true) 14 | 15 | ## Deepseek API 16 | 17 | ![image](https://github.com/glidea/pages/blob/main/immersive-reading-guide/deepseek-model-config.png?raw=true) 18 | 19 | -------------------------------------------------------------------------------- /docs/immersive_translate/README.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | # [Immersive Translate](https://immersivetranslate.com/) 4 | 5 | Immersive Translate is a bilingual webpage translation plugin. 6 | 7 | ## UI 8 | 9 | ![image](https://github.com/deepseek-ai/awesome-deepseek-integration/assets/59196087/adf0f871-3ea6-4523-b892-57305bbe8de0) 10 | 11 | 12 | ## Integrate with Deepseek API 13 | 14 | ![20240808-131028](https://github.com/user-attachments/assets/081f00ee-46b8-4227-9d20-e79ce2e68004) 15 | 16 | -------------------------------------------------------------------------------- /docs/immersive_translate/README_cn.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | # [沉浸式翻译](https://immersivetranslate.com/) 4 | 5 | 沉浸式翻译是一款双语对照网页翻译插件. 6 | 7 | ## UI 8 | 9 | ![image](https://github.com/deepseek-ai/awesome-deepseek-integration/assets/59196087/adf0f871-3ea6-4523-b892-57305bbe8de0) 10 | 11 | 12 | ## 配置 Deepseek API 13 | 14 | ![20240808-131028](https://github.com/user-attachments/assets/57c8fbc1-31d8-4d0c-9edd-6b75512feed1) 15 | 16 | -------------------------------------------------------------------------------- /docs/liubai/README.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | # [Liubai](https://github.com/yenche123/liubai) 4 | 5 | Let DeepSeek manage your Notes, Tasks, Calendars, and To-Do Lists directly on WeChat! 6 | 7 | ## UI 8 | 9 | 10 | 11 | 12 | 13 | -------------------------------------------------------------------------------- /docs/liubai/README_cn.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | # [Liubai](https://github.com/yenche123/liubai) 4 | 5 | 让 DeepSeek 直接在微信上管理你的笔记、任务、日程和待办清单！ 6 | 7 | ## UI 8 | 9 | 10 | 11 | 12 | 13 | -------------------------------------------------------------------------------- /docs/liubai/assets/liubai-logo.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/liubai/assets/liubai-logo.png -------------------------------------------------------------------------------- /docs/liubai/assets/screenshot01.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/liubai/assets/screenshot01.jpg -------------------------------------------------------------------------------- /docs/liubai/assets/screenshot02.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/liubai/assets/screenshot02.jpg -------------------------------------------------------------------------------- /docs/llm.nvim/README.md: -------------------------------------------------------------------------------- 1 | > [!IMPORTANT] 2 | > A free large language model(LLM) plugin that allows you to interact with LLM in Neovim. 3 | > 4 | > The main functions include but are not limited to: 5 | > 6 | > - AI chat 7 | > - Word translation 8 | > - Code explanation 9 | > - Code optimization 10 | > - Test case generation 11 | > - AI translation 12 | > - Generation of git commit messages 13 | > - Generation of docstrings 14 | 15 | Link: [Github:Kurama622/llm.nvim](https://github.com/Kurama622/llm.nvim) 16 | 17 | # Install 18 | 19 | - lazy.nvim 20 | 21 | ```lua 22 | return { 23 | { 24 | "Kurama622/llm.nvim", 25 | dependencies = { "nvim-lua/plenary.nvim", "MunifTanjim/nui.nvim" }, 26 | cmd = { "LLMSessionToggle", "LLMSelectedTextHandler", "LLMAppHandler" }, 27 | config = function() 28 | require("llm").setup({ 29 | url = "https://api.deepseek.com/chat/completions", 30 | model = "deepseek-chat", 31 | api_type = "openai", 32 | max_tokens = 4096, 33 | temperature = 0.3, 34 | top_p = 0.7, 35 | 36 | prompt = "You are a helpful Chinese assistant.", 37 | 38 | prefix = { 39 | user = { text = " ", hl = "Title" }, 40 | assistant = { text = " ", hl = "Added" }, 41 | }, 42 | 43 | -- history_path = "/tmp/llm-history", 44 | save_session = true, 45 | max_history = 15, 46 | max_history_name_length = 20, 47 | 48 | -- stylua: ignore 49 | keys = { 50 | -- The keyboard mapping for the input window. 51 | ["Input:Submit"] = { mode = "n", key = "" }, 52 | ["Input:Cancel"] = { mode = {"n", "i"}, key = "" }, 53 | ["Input:Resend"] = { mode = {"n", "i"}, key = "" }, 54 | 55 | -- only works when "save_session = true" 56 | ["Input:HistoryNext"] = { mode = {"n", "i"}, key = "" }, 57 | ["Input:HistoryPrev"] = { mode = {"n", "i"}, key = "" }, 58 | 59 | -- The keyboard mapping for the output window in "split" style. 60 | ["Output:Ask"] = { mode = "n", key = "i" }, 61 | ["Output:Cancel"] = { mode = "n", key = "" }, 62 | ["Output:Resend"] = { mode = "n", key = "" }, 63 | 64 | -- The keyboard mapping for the output and input windows in "float" style. 65 | ["Session:Toggle"] = { mode = "n", key = "ac" }, 66 | ["Session:Close"] = { mode = "n", key = {"", "Q"} }, 67 | }, 68 | }) 69 | end, 70 | keys = { 71 | { "ac", mode = "n", "LLMSessionToggle" }, 72 | { "ae", mode = "v", "LLMSelectedTextHandler 请解释下面这段代码" }, 73 | { "ts", mode = "x", "LLMSelectedTextHandler 英译汉" }, 74 | }, 75 | }, 76 | } 77 | ``` 78 | 79 | -------------------------------------------------------------------------------- /docs/llm.nvim/README_cn.md: -------------------------------------------------------------------------------- 1 | > [!IMPORTANT] 2 | > 免费的大语言模型插件，让你在Neovim中与大模型交互 3 | > 4 | > 主要功能包括但不限于: 5 | > 6 | > - AI对话 7 | > - 划词翻译 8 | > - 解释代码 9 | > - 优化代码 10 | > - 生成测试用例 11 | > - AI翻译 12 | > - 生成git commit信息 13 | > - 生成docstring 14 | 15 | 链接: [Github:Kurama622/llm.nvim](https://github.com/Kurama622/llm.nvim) 16 | 17 | # 安装 18 | 19 | - lazy.nvim 20 | 21 | ```lua 22 | return { 23 | { 24 | "Kurama622/llm.nvim", 25 | dependencies = { "nvim-lua/plenary.nvim", "MunifTanjim/nui.nvim" }, 26 | cmd = { "LLMSessionToggle", "LLMSelectedTextHandler", "LLMAppHandler" }, 27 | config = function() 28 | require("llm").setup({ 29 | url = "https://api.deepseek.com/chat/completions", 30 | model = "deepseek-chat", 31 | api_type = "openai", 32 | max_tokens = 4096, 33 | temperature = 0.3, 34 | top_p = 0.7, 35 | 36 | prompt = "You are a helpful Chinese assistant.", 37 | 38 | prefix = { 39 | user = { text = " ", hl = "Title" }, 40 | assistant = { text = " ", hl = "Added" }, 41 | }, 42 | 43 | -- history_path = "/tmp/llm-history", 44 | save_session = true, 45 | max_history = 15, 46 | max_history_name_length = 20, 47 | 48 | -- stylua: ignore 49 | keys = { 50 | -- The keyboard mapping for the input window. 51 | ["Input:Submit"] = { mode = "n", key = "" }, 52 | ["Input:Cancel"] = { mode = {"n", "i"}, key = "" }, 53 | ["Input:Resend"] = { mode = {"n", "i"}, key = "" }, 54 | 55 | -- only works when "save_session = true" 56 | ["Input:HistoryNext"] = { mode = {"n", "i"}, key = "" }, 57 | ["Input:HistoryPrev"] = { mode = {"n", "i"}, key = "" }, 58 | 59 | -- The keyboard mapping for the output window in "split" style. 60 | ["Output:Ask"] = { mode = "n", key = "i" }, 61 | ["Output:Cancel"] = { mode = "n", key = "" }, 62 | ["Output:Resend"] = { mode = "n", key = "" }, 63 | 64 | -- The keyboard mapping for the output and input windows in "float" style. 65 | ["Session:Toggle"] = { mode = "n", key = "ac" }, 66 | ["Session:Close"] = { mode = "n", key = {"", "Q"} }, 67 | }, 68 | }) 69 | end, 70 | keys = { 71 | { "ac", mode = "n", "LLMSessionToggle" }, 72 | { "ae", mode = "v", "LLMSelectedTextHandler 请解释下面这段代码" }, 73 | { "ts", mode = "x", "LLMSelectedTextHandler 英译汉" }, 74 | }, 75 | }, 76 | } 77 | ``` 78 | 79 | -------------------------------------------------------------------------------- /docs/minuet-ai.nvim/README_cn.md: -------------------------------------------------------------------------------- 1 | # Minuet AI 2 | 3 | Minuet AI：在您的代码中翩翩起舞，挥洒智能 💃。 4 | 5 | `Minuet-ai` 将小步舞曲的优雅与和谐带入您的编码流程。正如舞者在小步舞曲中舞动一样。 6 | 7 | # 特性 8 | 9 | - 基于 AI 的代码补全，提供双重模式： 10 | - 针对代码补全任务，为基于聊天的 LLMs 提供专门的提示和各种增强功能。 11 | - 针对兼容的模型（DeepSeek、Codestral、Qwen 等）提供中间填充 (FIM) 补全。 12 | - 支持多种 AI 提供商（OpenAI、Claude、Gemini、Codestral、Ollama 和兼容 OpenAI 的服务）。 13 | - 可自定义配置选项。 14 | - 支持流式传输，即使使用较慢的 LLMs 也能实现补全的交付。 15 | - 支持 `nvim-cmp`、`blink-cmp`、`virtual text` 前端。 16 | 17 | # 要求 18 | 19 | - Neovim 0.10+。 20 | - [plenary.nvim](https://github.com/nvim-lua/plenary.nvim) 21 | - 可选： [nvim-cmp](https://github.com/hrsh7th/nvim-cmp) 22 | - 可选： [blink.cmp](https://github.com/Saghen/blink.cmp) 23 | - 至少一个受支持的 AI 提供商的 API 密钥 24 | 25 | # 安装 26 | 27 | **Lazy.nvim：** 28 | 29 | ```lua 30 | specs = { 31 | { 32 | 'milanglacier/minuet-ai.nvim', 33 | config = function() 34 | require('minuet').setup { 35 | -- 在此处配置您的选项 36 | } 37 | end, 38 | }, 39 | { 'nvim-lua/plenary.nvim' }, 40 | -- 可选，如果您使用 virtual-text 前端，则不需要 nvim-cmp。 41 | { 'hrsh7th/nvim-cmp' }, 42 | -- 可选，如果您使用 virtual-text 前端，则不需要 blink。 43 | { 'Saghen/blink.cmp' }, 44 | } 45 | ``` 46 | 47 | **Rocks.nvim：** 48 | 49 | `Minuet` 可在 luarocks.org 上获取。只需运行 `Rocks install minuet-ai.nvim` 即可像安装其他 luarocks 包一样安装它。 50 | 51 | **使用 virtual text 进行设置：** 52 | 53 | ```lua 54 | require('minuet').setup { 55 | virtualtext = { 56 | auto_trigger_ft = {}, 57 | keymap = { 58 | -- 接受完整补全 59 | accept = '', 60 | -- 接受一行 61 | accept_line = '', 62 | -- 接受 n 行（提示输入数字） 63 | -- 例如，“A-z 2 CR”将接受 2 行 64 | accept_n_lines = '', 65 | -- 切换到上一个补全项，或手动调用补全 66 | prev = '', 67 | -- 切换到下一个补全项，或手动调用补全 68 | next = '', 69 | dismiss = '', 70 | }, 71 | }, 72 | } 73 | ``` 74 | 75 | **使用 nvim-cmp 进行设置：** 76 | 77 |
78 | 79 | ```lua 80 | require('cmp').setup { 81 | sources = { 82 | { 83 | -- 包含 minuet 作为源以启用自动补全 84 | { name = 'minuet' }, 85 | -- 和您的其他来源 86 | } 87 | }, 88 | performance = { 89 | -- 建议增加超时时间，因为与其他补全来源相比，LLMs 的响应速度通常较慢。如果您只需要手动补全，则不需要此设置。 90 | fetching_timeout = 2000, 91 | }, 92 | } 93 | 94 | 95 | -- 如果你希望手动调用补全， 96 | -- 以下配置将 `A-y` 键绑定到手动调用配置。 97 | require('cmp').setup { 98 | mapping = { 99 | [""] = require('minuet').make_cmp_map() 100 | -- 和您的其他键映射 101 | }, 102 | } 103 | ``` 104 | 105 |
106 | 107 | **使用 blink-cmp 进行设置：** 108 | 109 |
110 | 111 | ```lua 112 | require('blink-cmp').setup { 113 | keymap = { 114 | -- 手动调用 minuet 补全。 115 | [''] = require('minuet').make_blink_map(), 116 | }, 117 | sources = { 118 | -- 启用 minuet 进行自动补全 119 | default = { 'lsp', 'path', 'buffer', 'snippets', 'minuet' }, 120 | -- 仅对于手动补全，从默认值中删除 'minuet' 121 | providers = { 122 | minuet = { 123 | name = 'minuet', 124 | module = 'minuet.blink', 125 | score_offset = 8, -- 在建议中赋予 minuet 更高的优先级 126 | }, 127 | }, 128 | }, 129 | -- 建议避免不必要的请求 130 | completion = { trigger = { prefetch_on_insert = false } }, 131 | } 132 | ``` 133 | 134 |
135 | 136 | **LLM 提供商示例：** 137 | 138 | **Deepseek：** 139 | 140 | ```lua 141 | -- 你可以使用 openai_fim_compatible 或 openai_compatible 提供商来使用 deepseek 142 | require('minuet').setup { 143 | provider = 'openai_fim_compatible', 144 | provider_options = { 145 | openai_fim_compatible = { 146 | api_key = 'DEEPSEEK_API_KEY', 147 | name = 'deepseek', 148 | optional = { 149 | max_tokens = 256, 150 | top_p = 0.9, 151 | }, 152 | }, 153 | }, 154 | } 155 | 156 | 157 | -- 或者 158 | require('minuet').setup { 159 | provider = 'openai_compatible', 160 | provider_options = { 161 | openai_compatible = { 162 | end_point = 'https://api.deepseek.com/v1/chat/completions', 163 | api_key = 'DEEPSEEK_API_KEY', 164 | name = 'deepseek', 165 | optional = { 166 | max_tokens = 256, 167 | top_p = 0.9, 168 | }, 169 | }, 170 | }, 171 | } 172 | ``` 173 | -------------------------------------------------------------------------------- /docs/pal/README.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | # [Pal - AI Chat Client](https://apps.apple.com/us/app/pal-ai-chat-client/id6447545085) 4 | 5 | Pal is a customized chat playground on iOS. 6 | 7 | ## UI 8 | 9 | ![image](https://github.com/deepseek-ai/awesome-deepseek-integration/assets/59196087/4c514622-0073-43b0-86df-3f4b5d3c3514) 10 | 11 | 12 | ## Integrate with Deepseek API 13 | 14 | ![image](https://github.com/deepseek-ai/awesome-deepseek-integration/assets/13600976/68ec290d-bc5f-4844-a3bf-29d3f39bf9ba) 15 | 16 | -------------------------------------------------------------------------------- /docs/pal/README_cn.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | # [Pal - AI Chat Client](https://apps.apple.com/us/app/pal-ai-chat-client/id6447545085) 4 | 5 | 支持用户定制的聊天app，仅限于ios系统使用. 6 | 7 | ## UI 8 | 9 | ![image](https://github.com/deepseek-ai/awesome-deepseek-integration/assets/59196087/4c514622-0073-43b0-86df-3f4b5d3c3514) 10 | 11 | 12 | ## 配置 deepseek API 13 | 14 | ![image](https://github.com/deepseek-ai/awesome-deepseek-integration/assets/13600976/68ec290d-bc5f-4844-a3bf-29d3f39bf9ba) 15 | -------------------------------------------------------------------------------- /docs/promptfoo/README.md: -------------------------------------------------------------------------------- 1 | # promptfoo 2 | 3 | [promptfoo](https://promptfoo.dev) is an open-source framework for testing and evaluating LLM outputs. It helps you compare DeepSeek models with other LLMs (like o1, GPT-4o, Claude 3.5, Llama3.3, and Gemini) and test LLMs and LLM applications for security vulnerabilities. You can: 4 | 5 | - Run side-by-side comparisons between models 6 | - Check output quality and consistency 7 | - Generate test reports 8 | 9 | ## Setup 10 | 11 | 1. Install promptfoo: 12 | 13 | ```bash 14 | npm install -g promptfoo 15 | # or 16 | brew install promptfoo 17 | ``` 18 | 19 | 2. Configure API keys: 20 | 21 | ```bash 22 | export DEEPSEEK_API_KEY=your_api_key 23 | # Add other API keys as needed 24 | ``` 25 | 26 | ## Quick Start 27 | 28 | Create a configuration file `promptfooconfig.yaml`: 29 | 30 | ```yaml 31 | providers: 32 | - deepseek:deepseek-reasoner # DeepSeek-R1 33 | - openai:o1 34 | 35 | prompts: 36 | - 'Solve this step by step: {{math_problem}}' 37 | 38 | tests: 39 | - vars: 40 | math_problem: 'What is the derivative of x^3 + 2x with respect to x?' 41 | assert: 42 | - type: contains 43 | value: '3x^2' # Check for correct answer 44 | - type: llm-rubric 45 | value: 'Response shows clear steps' 46 | - type: cost 47 | threshold: 0.05 # Maximum cost per request 48 | ``` 49 | 50 | Run tests: 51 | 52 | ```bash 53 | promptfoo eval 54 | ``` 55 | 56 | View results in your browser: 57 | 58 | ```bash 59 | promptfoo view 60 | ``` 61 | 62 | ## Example Project 63 | 64 | Check out our [example](https://github.com/promptfoo/promptfoo/tree/main/examples/deepseek-r1-vs-openai-o1) that compares r1 and o1 on MMLU. 65 | 66 | ## Resources 67 | 68 | - [Documentation](https://promptfoo.dev/docs/providers/deepseek) 69 | - [GitHub Repository](https://github.com/promptfoo/promptfoo) 70 | - [Community Discord](https://discord.gg/promptfoo) 71 | -------------------------------------------------------------------------------- /docs/promptfoo/README_cn.md: -------------------------------------------------------------------------------- 1 | # promptfoo 2 | 3 | [promptfoo](https://promptfoo.dev) 是一个开源框架，用于测试和评估 LLM 输出。它可以帮助您将 DeepSeek 模型与其他 LLM（如 o1、GPT-4o、Claude 3.5、Llama 3.3 和 Gemini）进行比较，并测试 LLM 及其应用的安全漏洞。您可以： 4 | 5 | - 对不同模型进行并排比较 6 | - 检查输出质量和一致性 7 | - 生成测试报告 8 | 9 | ## 安装设置 10 | 11 | 1. 安装 promptfoo： 12 | 13 | ```bash 14 | npm install -g promptfoo 15 | # 或者使用 brew 16 | brew install promptfoo 17 | ``` 18 | 19 | 2. 配置 API 密钥： 20 | 21 | ```bash 22 | export DEEPSEEK_API_KEY=your_api_key 23 | # 根据需要添加其他 API 密钥 24 | ``` 25 | 26 | ## 快速开始 27 | 28 | 创建配置文件 `promptfooconfig.yaml`： 29 | 30 | ```yaml 31 | providers: 32 | - deepseek:deepseek-reasoner # DeepSeek-R1 33 | - openai:o1 34 | 35 | prompts: 36 | - '请逐步解决这个问题：{{math_problem}}' 37 | 38 | tests: 39 | - vars: 40 | math_problem: '求 x^3 + 2x 对 x 的导数' 41 | assert: 42 | - type: contains 43 | value: '3x^2' # 检查正确答案 44 | - type: llm-rubric 45 | value: '回答需要展示清晰的步骤' 46 | - type: cost 47 | threshold: 0.05 # 每次请求的最大成本 48 | ``` 49 | 50 | 运行测试： 51 | 52 | ```bash 53 | promptfoo eval 54 | ``` 55 | 56 | 在浏览器中查看结果： 57 | 58 | ```bash 59 | promptfoo view 60 | ``` 61 | 62 | ## 示例项目 63 | 64 | 查看我们的[示例](https://github.com/promptfoo/promptfoo/tree/main/examples/deepseek-r1-vs-openai-o1)，展示了 r1 和 o1 在 MMLU 上的比较。 65 | 66 | ## 资源 67 | 68 | - [文档](https://promptfoo.dev/docs/providers/deepseek) 69 | - [GitHub 仓库](https://github.com/promptfoo/promptfoo) 70 | - [社区 Discord](https://discord.gg/promptfoo) 71 | -------------------------------------------------------------------------------- /docs/ragflow/README.md: -------------------------------------------------------------------------------- 1 | Icon 2 | 3 | # [RAGFlow](https://github.com/infiniflow/ragflow) 4 | 5 | An open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding. It offers a streamlined RAG workflow for businesses of any scale, combining LLM (Large Language Models) to provide truthful question-answering capabilities, backed by well-founded citations from various complex formatted data. 6 | 7 | ## UI 8 | 9 | ![image](https://github.com/deepseek-ai/awesome-deepseek-integration/assets/33142505/a69ce143-931c-4a75-b129-f6a1ddd114a2) 10 | 11 | 12 | ## Integrate with Deepseek API 13 | 14 | ![image](https://github.com/deepseek-ai/awesome-deepseek-integration/assets/33142505/49dc1916-c3c2-470a-a3ea-b5877de52958) 15 | -------------------------------------------------------------------------------- /docs/ragflow/README_cn.md: -------------------------------------------------------------------------------- 1 | Icon 2 | 3 | # [RAGFlow](https://github.com/infiniflow/ragflow) 4 | 5 | 一款基于深度文档理解构建的开源 RAG（Retrieval-Augmented Generation）引擎。RAGFlow 可以为各种规模的企业及个人提供一套精简的 RAG 工作流程，结合大语言模型（LLM）针对用户各类不同的复杂格式数据提供可靠的问答以及有理有据的引用。 6 | 7 | ## UI 8 | 9 | ![image](https://github.com/deepseek-ai/awesome-deepseek-integration/assets/33142505/a69ce143-931c-4a75-b129-f6a1ddd114a2) 10 | 11 | 12 | ## 配置 Deepseek API 13 | 14 | ![image](https://github.com/deepseek-ai/awesome-deepseek-integration/assets/33142505/514b87e3-2eef-4dd2-b21d-88bb3f381573) 15 | -------------------------------------------------------------------------------- /docs/raycast/README.md: -------------------------------------------------------------------------------- 1 | ray.so 2 | 3 | 4 | 5 | # Raycast Extension - Deepseek Quick Actions 6 | 7 | Raycast is a productivity tool that allows you to control your tools with a few keystrokes. It's far more than an app launcher, it's a way to interact with your tools and data in a more efficient way. With Raycast, you can run scripts, open files, and even interact with your favorite apps without leaving your keyboard. 8 | 9 | [Deepseek Quick Actions](https://www.raycast.com/ViGeng/deepseeker?via=ViGeng) is a Raycast extension that allows you to interact with the Deepseek API directly from Raycast. You can perform common tasks like `summarize`, `rephrase`, `fix writing`, so on. 10 | 11 | 12 | # Features 13 | - [x] 🚀 Results Stream in real time 14 | - [x] ⌘ Supports custom keybinding for each action 15 | - [x] 📄 Custom prompt for each action 16 | - [x] Set token price in settings 17 | 18 | # UI 19 | ![alt text](assets/deepseeker-1.png) 20 | ![alt text](assets/deepseeker-2.png) 21 | ![alt text](assets/deepseeker-3.png) 22 | ![alt text](assets/deepseeker-4.png) 23 | ![alt text](assets/deepseeker-5.png) 24 | -------------------------------------------------------------------------------- /docs/raycast/README_cn.md: -------------------------------------------------------------------------------- 1 | ray.so 2 | 3 | 4 | 5 | # Raycast Extension - Deepseek Quick Actions 6 | 7 | Raycast 是一款效率工具，允许你只需敲击几下按键就能控制你的工具。它远不止是一个应用程序启动器，它是一种更高效地与你的工具和数据交互的方式。使用 Raycast，你可以运行脚本、打开文件，甚至可以在不离开键盘的情况下与你最喜欢的应用程序进行交互。 8 | 9 | [Deepseek 快速操作](https://www.raycast.com/ViGeng/deepseeker?via=ViGeng) 是一个 Raycast 扩展，允许你直接从 Raycast 与 Deepseek API 交互。你可以执行诸如 `summarize`、`rephrase`、`fix writing` 等常见任务。 10 | 11 | 12 | # Features 13 | - [x] 🚀 实时结果流 14 | - [x] ⌘ 支持每个动作的自定义键绑定 15 | - [x] 📄 每个动作的自定义提示 16 | - [x] 💰 在设置中设置Token价格 17 | 18 | # UI 19 | ![alt text](assets/deepseeker-1.png) 20 | ![alt text](assets/deepseeker-2.png) 21 | ![alt text](assets/deepseeker-3.png) 22 | ![alt text](assets/deepseeker-4.png) 23 | ![alt text](assets/deepseeker-5.png) 24 | -------------------------------------------------------------------------------- /docs/raycast/assets/deepseeker-1.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/raycast/assets/deepseeker-1.png -------------------------------------------------------------------------------- /docs/raycast/assets/deepseeker-2.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/raycast/assets/deepseeker-2.png -------------------------------------------------------------------------------- /docs/raycast/assets/deepseeker-3.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/raycast/assets/deepseeker-3.png -------------------------------------------------------------------------------- /docs/raycast/assets/deepseeker-4.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/raycast/assets/deepseeker-4.png -------------------------------------------------------------------------------- /docs/raycast/assets/deepseeker-5.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/raycast/assets/deepseeker-5.png -------------------------------------------------------------------------------- /docs/raycast/assets/favicon.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/raycast/assets/favicon.png -------------------------------------------------------------------------------- /docs/raycast/assets/og-image.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/raycast/assets/og-image.png -------------------------------------------------------------------------------- /docs/refinereader/README.md: -------------------------------------------------------------------------------- 1 | # Refine Reader （Chrome Extension） 2 | 3 |

4 | Refine Reader Logo 5 |

6 | 7 |

8 | An AI-powered intelligent reading assistant dedicated to helping users quickly understand and extract article essentials, with interactive reading support. 9 |

10 | 11 | ## ✨ Key Features 12 | 13 | - 🤖 **AI Smart Summary**: One-click generation of core viewpoints, key arguments, and crucial conclusions 14 | - 🌏 **Multi-language Support**: Supports Simplified Chinese, Traditional Chinese, English, Japanese, and Korean 15 | - 🎨 **Theme Switching**: Multiple elegant themes including Chinese Ink and Spring Vibes 16 | - 💬 **Reading Interaction**: Supports multi-turn dialogue based on article content 17 | - ⚡️ **Quick Inquiry**: Built-in question templates for instant professional insights 18 | 19 | ## 🛠️ Supported AI Models 20 | 21 | - OpenAI (GPT-4/3.5) 22 | - Tongyi Qianwen 23 | - DeepSeek 24 | - Claude 25 | - Ollama (Local Deployment) 26 | - More integrations coming soon 27 | 28 | ## 🚀 Quick Start 29 | 30 | 1. Install Refine Reader extension from Chrome Web Store 31 | 2. Click the extension icon to enter settings and configure AI model 32 | 3. Open any article page and click "AI Smart Summary" 33 | 4. Enjoy the intelligent reading experience! 34 | 35 | ## 🎯 Use Cases 36 | 37 | - 📚 Quickly grasp key points of long articles 38 | - 📝 Generate professional article analysis 39 | - 🗣️ Obtain multi-perspective interpretations 40 | - 📢 One-click content sharing generation 41 | 42 |

43 | Refine Reader Preview 44 |

45 | 46 |

47 | Refine Reader Preview 48 |

49 | 50 |

51 | Refine Reader Preview 52 |

53 | 54 | ## 🔒 Privacy Protection 55 | 56 | - All configuration information stored locally only 57 | - API keys securely encrypted 58 | - No collection of personal user information 59 | 60 | ## 👨‍💻 Developer 61 | 62 | - GitHub: [wzfukui/refinereader](https://github.com/wzfukui/refinereader) 63 | - Website: [https://refinereader.cuihuaer.com](https://refinereader.cuihuaer.com) 64 | -------------------------------------------------------------------------------- /docs/refinereader/README_cn.md: -------------------------------------------------------------------------------- 1 | # 萃花阅读 (Refine Reader, Chrome扩展) 2 | 3 |

4 | 萃花阅读 Logo 5 |

6 | 7 |

8 | 一款基于 AI 的智能阅读助手，致力于帮助用户快速理解和提炼文章精华，支持阅读互动。 9 |

10 | 11 | 12 | ## ✨ 主要功能 13 | 14 | - 🤖 **AI 智能总结**：一键生成文章核心观点、重要论据和关键结论 15 | - 🌏 **多语言支持**：支持中文简体、中文繁体、英文、日文、韩文 16 | - 🎨 **主题切换**：内置水墨中文、春意盎然等多种精美主题 17 | - 💬 **阅读互动**：支持基于文章内容的多轮对话 18 | - ⚡️ **快速提问**：内置多种提问模板，一键生成专业见解 19 | 20 | ## 🛠️ 支持的 AI 模型 21 | 22 | - OpenAI (GPT-4/3.5) 23 | - 通义千问 24 | - DeepSeek 25 | - Claude 26 | - Ollama (本地部署) 27 | - 更多集成中 28 | 29 | ## 🚀 快速开始 30 | 31 | 1. 在 Chrome 商店安装萃花阅读扩展 32 | 2. 点击扩展图标，进入设置页面配置 AI 模型 33 | 3. 打开任意文章页面，点击"AI智能总结" 34 | 4. 享受智能阅读体验！ 35 | 36 | ## 🎯 使用场景 37 | 38 | - 📚 快速掌握长文章重点 39 | - 📝 生成专业的文章分析 40 | - 🗣️ 获取多角度的解读见解 41 | - 📢 一键生成分享内容 42 | 43 |

44 | 萃花阅读预览 45 |

46 | 47 | 48 |

49 | 萃花阅读预览 50 |

51 | 52 |

53 | 萃花阅读预览 54 |

55 | 56 | ## 🔒 隐私保护 57 | 58 | - 所有配置信息仅存储在本地 59 | - API 密钥安全加密存储 60 | - 不收集任何用户个人信息 61 | 62 | 63 | ## 👨‍💻 开发者 64 | 65 | - GitHub：[wzfukui/refinereader](https://github.com/wzfukui/refinereader) 66 | - 网站：[https://refinereader.cuihuaer.com](https://refinereader.cuihuaer.com) 67 | 68 | -------------------------------------------------------------------------------- /docs/refinereader/assets/refinereader-128.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/refinereader/assets/refinereader-128.png -------------------------------------------------------------------------------- /docs/refinereader/assets/refinereader-preview-1.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/refinereader/assets/refinereader-preview-1.png -------------------------------------------------------------------------------- /docs/refinereader/assets/refinereader-preview-2.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/refinereader/assets/refinereader-preview-2.png -------------------------------------------------------------------------------- /docs/refinereader/assets/refinereader-preview-3.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/refinereader/assets/refinereader-preview-3.jpg -------------------------------------------------------------------------------- /docs/relingo/README.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | # [Relingo Ext](https://relingo.net/) 4 | 5 | Build and master vocabulary while you browse website and watch youtube! 6 | 7 | ## UI 8 | 9 | ![Image](https://relingo.net/assets/images/step3.png) 10 | 11 | ## Integrate with Deepseek API 12 | 13 | ![Image](https://github.com/user-attachments/assets/277a570d-e77e-4eac-b468-0a3b9da04fc6) 14 | 15 | -------------------------------------------------------------------------------- /docs/relingo/README_cn.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | # [Relingo 浏览器扩展](https://relingo.net/) 4 | 5 | 在浏览网页和观看YouTube视频的同时，构建并掌握词汇量！ 6 | 7 | ## UI 8 | 9 | ![Image](https://relingo.net/assets/images/step3.png) 10 | 11 | ## Integrate with Deepseek API 12 | 13 | ![Image](https://github.com/user-attachments/assets/277a570d-e77e-4eac-b468-0a3b9da04fc6) 14 | 15 | -------------------------------------------------------------------------------- /docs/remio/assets/remio_icon.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/remio/assets/remio_icon.png -------------------------------------------------------------------------------- /docs/rss_translator/README.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | # [RSS Translator](https://rsstranslator.com/en/) 4 | 5 | RSS Translator is an open source, self-hosted application. Translates title or content, provides AI summaries and generates a new translated feed 6 | 7 | ## UI 8 | 9 | ![UI](assets/ui.png) 10 | 11 | 12 | ## Integrate with Deepseek API 13 | 14 | ![add_translator](assets/add_translator.png) 15 | ![add_openai](assets/add_openai.png) 16 | -------------------------------------------------------------------------------- /docs/rss_translator/README_cn.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | # [RSS翻译器](https://rsstranslator.com/) 4 | 5 | 一个开源、简洁、可自部署的RSS翻译器，可翻译标题/内容、AI总结，并输出翻译后的RSS订阅链接。 6 | 7 | ## UI 8 | 9 | ![UI](assets/ui.png) 10 | 11 | ## 配置 deepseek API 12 | 13 | ![add_translator](assets/add_translator.png) 14 | ![add_openai](assets/add_openai.png) -------------------------------------------------------------------------------- /docs/rss_translator/assets/add_openai.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/rss_translator/assets/add_openai.png -------------------------------------------------------------------------------- /docs/rss_translator/assets/add_translator.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/rss_translator/assets/add_translator.png -------------------------------------------------------------------------------- /docs/rss_translator/assets/ui.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/rss_translator/assets/ui.png -------------------------------------------------------------------------------- /docs/ruzhiai_note/README.md: -------------------------------------------------------------------------------- 1 |
2 | 3 |
4 | 5 | # RuZhi AI Notes 6 | 7 | RuZhi AI Notes is an intelligent AI knowledge management tool dedicated to providing users with one-stop knowledge management and application services, including AI search and exploration, AI results to notes conversion, note management and organization, knowledge presentation and sharing, etc. 8 | 9 | ## Core Advantages 10 | 11 | ### 1. Powerful AI Model Support 12 | - Integrated with DeepSeek thinking model 13 | - According to user feedback, compared to similar products, our model: 14 | - More stable 15 | - Higher output quality 16 | - Can integrate with enterprise internal knowledge bases 17 | 18 | 19 | 20 | ### 2. Convenient Content Management 21 | - One-click save AI conversation content to notes 22 | - Support for various export formats: 23 | - Markdown 24 | - Word documents 25 | - PDF files 26 | - PPT presentations 27 | - Resume templates 28 | and more formats 29 | 30 | ### 3. Upcoming Features 31 | - Task management list 32 | - To-do tracking 33 | - Calendar management 34 | - More intelligent features 35 | - Multi-platform clients 36 | 37 | ## Usage Guide 38 | 39 | #### Method 1: Search 40 | 1. Search for "RuZhi AI Notes" in search engines 41 | 2. Register 42 | 43 | #### Method 2: Direct Link Access 44 | 1. Visit our official link https://ruzhiai.perfcloud.cn/ 45 | 2. Complete the registration process 46 | - The system will automatically create an application for you after registration 47 | - You can then start using all features 48 | -------------------------------------------------------------------------------- /docs/ruzhiai_note/README_cn.md: -------------------------------------------------------------------------------- 1 |
2 | 3 |
4 | 5 | # 如知AI笔记 6 | 7 | 如知AI笔记是一款智能化的AI知识管理工具，致力于为用户提供一站式的知识管理和应用服务，包括AI搜索探索、AI结果转笔记、笔记管理与整理、 知识演示与分享等。 8 | 9 | ## 核心优势 10 | 11 | ### 1. 强大的AI模型支持 12 | - 集成了DeepSeek深度思考模型 13 | - 用户反馈显示，相较同类产品，我们的模型： 14 | - 更加稳定 15 | - 输出质量更高 16 | - 可以融合企业内部知识库 17 | 18 | 19 | 20 | 21 | ### 2. 便捷的内容管理 22 | - 一键保存AI对话内容到笔记 23 | - 多样化的导出格式支持： 24 | - Markdown 25 | - Word文档 26 | - PDF文件 27 | - PPT演示文稿 28 | - 简历模板 29 | 等多种格式 30 | 31 | ### 3. 即将推出的功能 32 | - 任务管理清单 33 | - 待办事项追踪 34 | - 日历管理 35 | - 更多智能化功能 36 | - 多端客户端 37 | 38 | ## 使用指南 39 | 40 | 41 | #### 方式一：搜索 42 | 1. 在搜索引擎中搜索"如知AI笔记" 43 | 2. 注册 44 | 45 | #### 方式二：直接访问链接 46 | 1. 访问我们的官方链接 https://ruzhiai.perfcloud.cn/ 47 | 2. 完成注册流程 48 | - 注册后系统会自动为您创建应用 49 | - 即可开始使用所有功能 50 | -------------------------------------------------------------------------------- /docs/ruzhiai_note/assets/deepseek_used.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/ruzhiai_note/assets/deepseek_used.jpg -------------------------------------------------------------------------------- /docs/ruzhiai_note/assets/play_store_512.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/ruzhiai_note/assets/play_store_512.png -------------------------------------------------------------------------------- /docs/siri_deepseek_shortcut/README.md: -------------------------------------------------------------------------------- 1 | 2 | # [深度求索 (shortcut)](https://www.icloud.com/shortcuts/b75899492ead45ef9a47cfce89334bf0) 3 | 4 | A shortcut to enhance Siri's capabilities with the DeepSeek API. 5 | 6 | ## UI 7 | 8 | ![siri3](https://github.com/deepseek-ai/awesome-deepseek-integration/assets/155953822/c76a1a87-3f0e-49c2-a2a1-2685289ab022) 9 | 10 | 11 | 12 | ## Integrate with Deepseek API 13 | ## After adding the shortcut to the 'Shortcuts' app, fill in your own DeepSeek API key.Then you can use it in text or Siri. 14 | 15 | ![siri1](https://github.com/deepseek-ai/awesome-deepseek-integration/assets/155953822/18bfbf79-e208-4366-8bea-6499096dd819) 16 | 17 | ![siri2](https://github.com/deepseek-ai/awesome-deepseek-integration/assets/155953822/6d1cca80-de94-4ae4-ae88-c5aa23b8b1fc) 18 | -------------------------------------------------------------------------------- /docs/siri_deepseek_shortcut/README_cn.md: -------------------------------------------------------------------------------- 1 | 2 | # [深度求索 (快捷指令)](https://www.icloud.com/shortcuts/b75899492ead45ef9a47cfce89334bf0) 3 | 4 | 使用DeepSeek API 来增强 Siri 能力的快捷指令. 5 | 6 | ## UI 7 | 8 | ![siri3](https://github.com/deepseek-ai/awesome-deepseek-integration/assets/155953822/657bf7f8-3a2b-4757-9acc-7b6548574a0b) 9 | 10 | 11 | 12 | 13 | ## 配置 deepseek API 14 | ## 添加该快捷指令后，填入你自己的DeepSeek API Key即可。使用时可以用文本输入，也可以使用Siri唤醒后语音输入。 15 | ![siri1](https://github.com/deepseek-ai/awesome-deepseek-integration/assets/155953822/bfc74639-e85b-4cba-89dc-1a286d17307d) 16 | 17 | ![siri2](https://github.com/deepseek-ai/awesome-deepseek-integration/assets/155953822/0e483340-858e-424e-9c46-386b6464bfa3) 18 | 19 | 20 | -------------------------------------------------------------------------------- /docs/solana-agent-kit/README.md: -------------------------------------------------------------------------------- 1 | # README 2 | 3 | logo 4 | 5 | --- 6 | 7 | An open-source toolkit for connecting AI agents to Solana protocols. Now, any agent, using any model can autonomously perform 60+ Solana actions: 8 | ‍ 9 | 10 | ## STEP1. 11 | 12 | Apply a token from [deepseek open platform](https://platform.deepseek.com/) 13 | 14 | ## STEP 2 15 | 16 | Intialize the DeepSeek LLM 17 | 18 | ``` 19 | import { ChatDeepSeek } from "@langchain/deepseek"; 20 | 21 | const deepseek = new ChatDeepSeek({ 22 | model: "deepseek-chat", 23 | temperature: 0, 24 | }); 25 | ``` 26 | ‍ 27 | ## STEP 3 28 | 29 | Intialize the Solana Agent Kit with DeepSeek 30 | 31 | ```typescript 32 | const solanaAgent = new SolanaAgentKit( 33 | process.env.SOLANA_PRIVATE_KEY!, 34 | process.env.RPC_URL!, 35 | { 36 | OPENAI_API_KEY: process.env.OPENAI_API_KEY!, 37 | HELIUS_API_KEY: process.env.HELIUS_API_KEY!, 38 | PERPLEXITY_API_KEY: process.env.PERPLEXITY_API_KEY!, 39 | }, 40 | ); 41 | 42 | const tools = createSolanaTools(solanaAgent); 43 | 44 | const agent = createReactAgent({ 45 | llm: deepseek, 46 | tools, 47 | checkpointSaver: memory, 48 | messageModifier: ` 49 | You are a helpful agent that can interact onchain using the Solana Agent Kit. You are 50 | empowered to interact onchain using your tools. If you ever need funds, you can request them from the 51 | faucet. If not, you can provide your wallet details and request funds from the user. If there is a 5XX 52 | (internal) HTTP error code, ask the user to try again later. If someone asks you to do something you 53 | can't do with your currently available tools, you must say so, and encourage them to implement it 54 | themselves using the Solana Agent Kit, recommend they go to https://www.solanaagentkit.xyz for more information. Be 55 | concise and helpful with your responses. Refrain from restating your tools' descriptions unless it is explicitly requested. 56 | `, 57 | }); 58 | 59 | const stream = await agent.stream( 60 | { messages: [new HumanMessage(userInput)] }, 61 | config, 62 | ); 63 | ``` 64 | 65 | More guides can be found in the [Solana Agent Kit](https://docs.solanaagentkit.xyz/v0/introduction) 66 | 67 | ‍ -------------------------------------------------------------------------------- /docs/solana-agent-kit/assets/sendai-logo.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/solana-agent-kit/assets/sendai-logo.png -------------------------------------------------------------------------------- /docs/stranslate/README.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | # [`STranslate`](https://stranslate.zggsong.com/) 4 | 5 | STranslate is a translation and OCR tool that is ready to use on the go. 6 | 7 | ## Translation 8 | 9 | Supports multiple translation languages and various translation methods such as input, text selection, screenshot, clipboard monitoring, and mouse text selection. It also allows displaying multiple service translation results simultaneously for easy comparison. 10 | 11 | ## OCR 12 | 13 | Supports fully offline OCR for Chinese, English, Japanese, and Korean, based on PaddleOCR, with excellent performance and quick response. It supports screenshot, clipboard, and file OCR, as well as silent OCR. Additionally, it supports OCR services from WeChat, Baidu, Tencent, OpenAI, and Google. 14 | 15 | ## Services 16 | 17 | Supports integration with over ten translation services including DeepSeek, OpenAI, Gemini, ChatGLM, Baidu, Microsoft, Tencent, Youdao, and Alibaba. It also offers free API options. Built-in services like Microsoft, Yandex, Google, and Kingsoft PowerWord are ready to use out of the box. 18 | 19 | ## Features 20 | 21 | Supports back-translation, global TTS, writing (directly translating and replacing selected content), custom prompts, QR code recognition, external calls, and more. 22 | 23 | ## Main Interface 24 | 25 | ![main_ui](./assets/main.png) 26 | 27 | ## Configuration 28 | 29 | ![settings_1](./assets/settings_1.png) 30 | 31 | ![settings_2](./assets/settings_2.png) -------------------------------------------------------------------------------- /docs/stranslate/README_cn.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | # [`STranslate`](https://stranslate.zggsong.com/) 4 | 5 | STranslate 是一款即用即走的翻译、OCR工具 6 | 7 | ## 翻译 8 | 9 | 支持多种翻译语言，支持输入、划词、截图、监听剪贴板、监听鼠标划词等多种翻译方式，支持同时显示多个服务翻译结果，方便比较翻译结果 10 | 11 | ## OCR 12 | 13 | 支持中英日韩完全离线OCR，基于 PaddleOCR，效果优秀反应迅速，支持截图、剪贴板、文件OCR，支持静默OCR，同时支持微信、百度、腾讯、OpenAI、Google等OCR 14 | 15 | ## 服务 16 | 17 | 支持DeepSeek、OpenAI、Gemini、ChatGLM、百度、微软、腾讯、有道、阿里等十多家翻译服务接入；同时还提供免费API可供选择；内置微软、Yandex、Google、金山词霸等内置服务可做到开箱即用 18 | 19 | ## 特色 20 | 21 | 支持回译、全局TTS、写作(选中后直接翻译替换内容)、自定义Prompt、二维码识别、外部调用等等功能 22 | 23 | ## 主界面 24 | 25 | ![main_ui](./assets/main.png) 26 | 27 | ## 配置 28 | 29 | ![settings_1](./assets/settings_1.png) 30 | 31 | ![settings_2](./assets/settings_2.png) -------------------------------------------------------------------------------- /docs/stranslate/assets/main.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/stranslate/assets/main.png -------------------------------------------------------------------------------- /docs/stranslate/assets/settings_1.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/stranslate/assets/settings_1.png -------------------------------------------------------------------------------- /docs/stranslate/assets/settings_2.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/stranslate/assets/settings_2.png -------------------------------------------------------------------------------- /docs/stranslate/assets/stranslate.svg: -------------------------------------------------------------------------------- 1 | 2 | -------------------------------------------------------------------------------- /docs/superagentx/README.md: -------------------------------------------------------------------------------- 1 | # `SuperAgentX` 2 | 3 | > 🤖 SuperAgentX: A lightweight autonomous true multi-agent framework with AGI capabilities. 4 | 5 | **SuperAgentX Source Code**: [https://github.com/superagentxai/superagentx](https://github.com/superagentxai/superagentx) 6 | 7 | **DeepSeek AI Agent Example**: [https://github.com/superagentxai/superagentx/blob/master/tests/llm/test_deepseek_client.py](https://github.com/superagentxai/superagentx/blob/master/tests/llm/test_deepseek_client.py) 8 | 9 | **Documentation** : [https://docs.superagentx.ai/](https://docs.superagentx.ai/) 10 | 11 | The SuperAgentX framework integrates DeepSeek as its LLM service provider, enhancing the multi-agent's reasoning and decision-making capabilities. 12 | 13 | ## 🤖 Introduction 14 | 15 | `SuperAgentX` SuperAgentX is an advanced agentic AI framework designed to accelerate the development of Artificial General Intelligence (AGI). It provides a powerful, modular, and flexible platform for building autonomous AI agents capable of executing complex tasks with minimal human intervention. 16 | 17 | ![SuperAgentX Diagram](https://raw.githubusercontent.com/superagentxai/superagentX/refs/heads/master/docs/images/architecture.png) 18 | 19 | ### ✨ Key Features 20 | 21 | 🚀 Open-Source Framework: A lightweight, open-source AI framework built for multi-agent applications with Artificial General Intelligence (AGI) capabilities. 22 | 23 | 🎯 Goal-Oriented Multi-Agents: This technology enables the creation of agents with retry mechanisms to achieve set goals. Communication between agents is Parallel, Sequential, or hybrid. 24 | 25 | 🏖️ Easy Deployment: Offers WebSocket, RESTful API, and IO console interfaces for rapid setup of agent-based AI solutions. 26 | 27 | ♨️ Streamlined Architecture: Enterprise-ready scalable and pluggable architecture. No major dependencies; built independently! 28 | 29 | 📚 Contextual Memory: Uses SQL + Vector databases to store and retrieve user-specific context effectively. 30 | 31 | 🧠 Flexible LLM Configuration: Supports simple configuration options of various Gen AI models. 32 | 33 | 🤝🏻 Extendable Handlers: Allows integration with diverse APIs, databases, data warehouses, data lakes, IoT streams, and more, making them accessible for function-calling features. 34 | -------------------------------------------------------------------------------- /docs/superagentx/assets/architecture.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/superagentx/assets/architecture.png -------------------------------------------------------------------------------- /docs/tencent/hunyuan.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/tencent/hunyuan.png -------------------------------------------------------------------------------- /docs/tomemo/README.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | # [ToMemo](https://apps.apple.com/cn/app/tomemo/id1610843304) 4 | 5 | ToMemo is a phrasebook + clipboard history + keyboard iOS app with integrated AI macromodeling for quick output use in the keyboard. 6 | 7 | ## UI 8 | 9 | ![image](assets/ui.jpg) 10 | 11 | ![image](assets/ui-keyboard.jpg) 12 | 13 | ## Integrate with Deepseek API 14 | 15 | - Go to "Settings-Extensions-AI Services-AI Providers", click "Add" in the top right corner, and select "DeepSeek" in the **Provider** field. 16 | - Enter your API Key in the **API Key** field. 17 | - Click the "Test" button to verify if the input is valid. 18 | - Click "Load Models" to select the model you want to use 19 | - Turn on "Enable" and click "Save" 20 | 21 | ![image](assets/app-provider.png) 22 | 23 | ## Use 24 | 25 | - Go to "Settings-Extensions-AI Services" 26 | - Click "AI Assistant" to enter the AI Assistant page 27 | - Add an AI Assistant in the top right corner, you can select "Deepseek" in the models 28 | - Start chatting with Deepseek 29 | 30 | ![image](assets/use-deepseek.png) 31 | -------------------------------------------------------------------------------- /docs/tomemo/README_cn.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | # [ToMemo](https://apps.apple.com/cn/app/tomemo/id1610843304) 4 | 5 | ToMemo 是一款短语合集 + 剪切板历史 + 键盘输出的 iOS 应用，集成了 AI 大模型，可以在键盘中快速输出使用。 6 | 7 | ## UI 8 | 9 | ![image](assets/ui.jpg) 10 | 11 | ![image](assets/ui-keyboard.jpg) 12 | 13 | ## Integrate with Deepseek API 14 | 15 | - 进入「设置-扩展-AI 服务-AI 供应商」，点击右上角「添加」，在**供应商**中选择「DeepSeek」。 16 | - 在**API Key**中输入你的 API Key。 17 | - 点击「测试」按钮，测试填入是否可用。 18 | - 点击「加载模型」，选择需要使用的模型 19 | - 打开「启用」后，点击「保存」 20 | 21 | ![image](assets/app-provider.png) 22 | 23 | ## Use 24 | 25 | - 进入「设置-扩展-AI 服务」， 26 | - 点击「AI 助手」进入 AI 助手页面， 27 | - 右上角添加 AI 助手，可以在模型中选择「深度求索」 28 | - 开始和 Deepseek 聊天 29 | 30 | ![image](assets/use-deepseek.png) 31 | -------------------------------------------------------------------------------- /docs/tomemo/assets/Integrate.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/tomemo/assets/Integrate.jpg -------------------------------------------------------------------------------- /docs/tomemo/assets/app-provider.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/tomemo/assets/app-provider.png -------------------------------------------------------------------------------- /docs/tomemo/assets/ui-keyboard.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/tomemo/assets/ui-keyboard.jpg -------------------------------------------------------------------------------- /docs/tomemo/assets/ui.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/tomemo/assets/ui.jpg -------------------------------------------------------------------------------- /docs/tomemo/assets/use-deepseek.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/tomemo/assets/use-deepseek.png -------------------------------------------------------------------------------- /docs/translate.js/README_ja.md: -------------------------------------------------------------------------------- 1 |

2 | translate.js 3 |

4 |

5 | それはフロントエンド開発者向けのAI i18nで、2行のJSでHTMLの全自動翻訳を実現します。
6 | AIに任せて、ページの変更なし、言語設定ファイルなし、APIキーなし、SEOに優しい！ 7 |

8 | 9 | ![image](assets/html_demo.gif) 10 | 11 | # 使用方法 12 | ### 1. テキスト翻訳APIの展開 13 | まず、テキスト翻訳のオープンインターフェースを展開し、一度に複数のテキストをバッチ翻訳することをサポートし、同時に多層キャッシュシステムを内蔵して、AI翻訳の時間を最大限に短縮します。これにより、ユーザーが使用時に瞬時に遅延なく翻訳できる能力を実現します。 14 | 15 | ##### 1.1 サーバー仕様 16 | 1コア1GB、20GBのシステムディスク、1MBの帯域幅で、オペレーティングシステムはCentOS 7.4（7.0〜7.9でも可）で完璧に動作します。 17 | 18 | ##### 1.2 インストール 19 | ```` 20 | wget https://gitee.com/mail_osc/translate/raw/master/deploy/install_translate.service.sh -O install.sh && chmod -R 777 install.sh && sh ./install.sh 21 | ```` 22 | 23 | ##### 1.3 DeepSeek パラメータの設定 24 | 25 | 編集 application.properties ： 26 | ```` 27 | vi /mnt/tomcat8/webapps/ROOT/WEB-INF/classes/application.properties 28 | ```` 29 | その後、最後にいくつかの設定を追加します： 30 | ```` 31 | # 大規模モデルインターフェースリクエストURL、例えば以下のものはHuawei DeepSeekのリクエストURLです。また、GiteeAIのリクエストURLは https://ai.gitee.com/v1/chat/completions 他のプラットフォームからは自分で取得して入力できます 32 | translate.service.deepSeek.url=https://infer-modelarts-cn-southwest-2.modelarts-infer.com/v1/infers/fd53915b-8935-48fe-be70-449d76c0fc87/v1/chat/completions 33 | # アクセストークン 34 | translate.service.deepSeek.key=QM8jrVl98lTluLhzCaO4i9PFv-caRk6U7kDL-H6CIyApytMG69jO33aasO1GnduQak8fGI7dtpmbsM98Qh3ywA 35 | # どのモデルを使用するか、ここではデフォルトで DeepSeek-V3 を使用すればよく、変更する必要はありません。 36 | translate.service.deepSeek.model=DeepSeek-V3 37 | # AIの単回の最大トークン数、設定しない場合デフォルトは3000で、ここではデフォルトでこれを使用すれば良いです。 38 | translate.service.deepSeek.max_tokens=3000 39 | ```` 40 | 最終の効果は以下の図のとおりです： 41 | ![image](assets/application_properties_demo.png) 42 | 43 | ##### 1.4 サービスを再起動する 44 | ```` 45 | pkill java 46 | sudo /mnt/tomcat8/bin/startup.sh 47 | ```` 48 | 49 | ##### 1.5 テキスト翻訳APIをテストする 50 | ![image](assets/texts_translate_api_demo.png) 51 | ここで渡される「from」は、翻訳前の言語を表します。もしその言語がわかればそれを記入し、わからない場合や判断が難しい場合は、上記のように固定して記入してください。DeepSeekが自動的に認識し、翻訳を行います。 52 | この翻訳APIインターフェースの詳細な説明については、以下を参照してください： [http://api.zvo.cn/translate/service/20230807/translate.json.html](http://api.zvo.cn/translate/service/20230807/translate.json.html) 53 | 54 | 55 | 56 | ### 2. htmlでtranslate.jsを使用する 57 | 58 | **通常のウェブサイトで、ある言語をクリックして切り替える** 59 | 以下の図に示すように、ウェブサイトの特定の場所でいくつかの言語を切り替える必要があります。 60 | ![](assets/site_demo.png) 61 | そのHTMLコードの末尾に以下のコードを直接追加します： 62 | 63 | ```` 64 | 65 | 70 | 71 | 72 | 73 | 81 | ```` 82 | 83 | これは最も一般的なシーンでの使用例です。また、VUEやReactなどの各フレームワークや、さまざまな管理画面など、JSが実行できる環境であればどこでも使用できます！ 84 | 85 | # オープンソースリポジトリ 86 | https://github.com/xnx3/translate 87 | -------------------------------------------------------------------------------- /docs/translate.js/assets/application_properties_demo.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/translate.js/assets/application_properties_demo.png -------------------------------------------------------------------------------- /docs/translate.js/assets/html_demo.gif: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/translate.js/assets/html_demo.gif -------------------------------------------------------------------------------- /docs/translate.js/assets/icon.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/translate.js/assets/icon.png -------------------------------------------------------------------------------- /docs/translate.js/assets/site_demo.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/translate.js/assets/site_demo.png -------------------------------------------------------------------------------- /docs/translate.js/assets/texts_translate_api_demo.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/translate.js/assets/texts_translate_api_demo.png -------------------------------------------------------------------------------- /docs/wordware/README.md: -------------------------------------------------------------------------------- 1 | wordware og 2 | 3 | 4 | 5 | # Use DeepSeek Through Wordware 6 | 7 | Wordware is a toolkit that enables anyone to build, iterate, and deploy their AI stack with just natural language. Wordware is the easiest and fastest way to integrate both DeepSeek V3 and R1 into your LLM applications. 8 | 9 | ## Tutorial 10 | 11 | ### Create a new generation with the slash command 12 | 13 | ![select model](assets/select-deepseek.jpg) 14 | 15 | ### Select your desired DeepSeek model 16 | 17 | ![select model](assets/select-deepseek.jpg) 18 | 19 | ### Provide it with your context and press run. It's that simple. 20 | 21 | ![use v3](assets/v3.jpg) 22 | 23 | ### Use R1 for more advanced reasoning. 24 | 25 | ![use r1](assets/r1.jpg) 26 | 27 | ### And pair it with control blocks and tools to create more complex flows 28 | 29 | ![use tools](assets/tools.jpg) 30 | 31 | ### Refer to the docs to learn more. 32 | 33 | ### Try Wordware out today and build something awesome! 34 | -------------------------------------------------------------------------------- /docs/wordware/README_cn.md: -------------------------------------------------------------------------------- 1 | wordware og 2 | 3 | 4 | 5 | # 通过 Wordware 使用 DeepSeek 6 | 7 | Wordware 是一个工具包，让任何人都能仅使用自然语言来构建、迭代和部署他们的 AI 技术栈。Wordware 是将 DeepSeek V3 和 R1 集成到您的 LLM 应用程序中最简单和最快速的方式。 8 | 9 | ## 教程 10 | 11 | ### 使用斜杠命令创建新的生成 12 | 13 | ![select model](assets/select-deepseek.jpg) 14 | 15 | ### 选择您想要的 DeepSeek 模型 16 | 17 | ![select model](assets/select-deepseek.jpg) 18 | 19 | ### 提供您的上下文并点击运行，就是这么简单 20 | 21 | ![use v3](assets/v3.jpg) 22 | 23 | ### 使用 R1 进行更高级的推理 24 | 25 | ![use r1](assets/r1.jpg) 26 | 27 | ### 将其与控制块和工具配对，创建更复杂的流程 28 | 29 | ![use tools](assets/tools.jpg) 30 | 31 | ### 查看文档了解更多信息 32 | 33 | ### 立即试用 Wordware 并构建令人惊叹的应用！ 34 | -------------------------------------------------------------------------------- /docs/wordware/assets/gen.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/wordware/assets/gen.png -------------------------------------------------------------------------------- /docs/wordware/assets/og-image.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/wordware/assets/og-image.png -------------------------------------------------------------------------------- /docs/wordware/assets/r1.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/wordware/assets/r1.jpg -------------------------------------------------------------------------------- /docs/wordware/assets/select-deepseek.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/wordware/assets/select-deepseek.jpg -------------------------------------------------------------------------------- /docs/wordware/assets/tools.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/wordware/assets/tools.jpg -------------------------------------------------------------------------------- /docs/wordware/assets/v3.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/wordware/assets/v3.jpg -------------------------------------------------------------------------------- /docs/xhai_browser/README.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | # [xhai Browser](https://www.dahai123.top/) 4 | 5 | 6 | [xhai Browser](https://m.malink.cn/s/7JFfIv) is an Android desktop management & AI browser, DeepSeek is the default AI dialog engine. 7 | He has the ultimate performance (0.2 seconds to start), slim size (apk 3M), no ads, ultra-fast ad blocking, multi-screen classification, screen navigation, multi-search box, a box multiple search! 8 | 9 | xhai means "xiaohai" in Chinese, which means "extreme, high-performance, AI Browser" in English. 10 | 11 | ## UI 12 | 13 | 14 | 15 | -------------------------------------------------------------------------------- /docs/xhai_browser/README_cn.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | # [小海浏览器](https://www.dahai123.top/) 4 | 5 | 6 | [小海浏览器](https://m.malink.cn/s/7JFfIv)是安卓桌面管理&AI浏览器,DeepSeek是默认AI对话引擎 7 | 他有极致的性能(0.2秒启动),苗条的体型(apk 3M大),无广告,超高速广告拦截,多屏分类,屏幕导航,多搜索框,一框多搜 8 | 9 | 10 | ## UI 11 | 12 | 13 | 14 | 15 | 16 | -------------------------------------------------------------------------------- /docs/xhai_browser/assets/deepseek3-4_2t.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/xhai_browser/assets/deepseek3-4_2t.jpg -------------------------------------------------------------------------------- /docs/xhai_browser/assets/deepseek3-4t.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/xhai_browser/assets/deepseek3-4t.jpg -------------------------------------------------------------------------------- /docs/xhai_browser/assets/desktop_512.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/xhai_browser/assets/desktop_512.png -------------------------------------------------------------------------------- /docs/xhai_browser/assets/logo_512.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/xhai_browser/assets/logo_512.png -------------------------------------------------------------------------------- /docs/zenfeed/README.md: -------------------------------------------------------------------------------- 1 | # zenfeed Integration with DeepSeek 2 | 3 | zenfeed supports using DeepSeek models for tasks like summarization and semantic analysis by configuring it within the `llms` section of your zenfeed configuration file. 4 | 5 | ## Configuration 6 | 7 | To use DeepSeek, add an entry to the `llms` list in your configuration file. Here's an example: 8 | 9 | ```yaml 10 | llms: 11 | - name: my-deepseek-chat # A unique name for this configuration 12 | provider: deepseek # Specify the provider as deepseek 13 | api_key: sk-xxxxxxxxxxx # Replace with your actual DeepSeek API key 14 | model: deepseek-chat # Specify the desired DeepSeek model (e.g., deepseek-chat, deepseek-coder) 15 | ``` -------------------------------------------------------------------------------- /docs/zenfeed/README_cn.md: -------------------------------------------------------------------------------- 1 | # zenfeed 与 DeepSeek 集成 2 | 3 | zenfeed 支持通过在其配置文件的 `llms` 部分进行设置，来使用 DeepSeek 模型执行摘要、语义分析等任务。 4 | 5 | ## 配置方法 6 | 7 | 要使用 DeepSeek，请在你的配置文件中的 `llms` 列表下添加一个条目。以下是一个示例： 8 | 9 | ```yaml 10 | llms: 11 | - name: my-deepseek-chat # 为此配置指定一个唯一的名称 12 | provider: deepseek # 指定提供商为 deepseek 13 | api_key: sk-xxxxxxxxxxx # 替换为你的 DeepSeek API 密钥 14 | model: deepseek-chat # 指定所需的 DeepSeek 模型（例如：deepseek-chat, deepseek-coder） 15 | ``` -------------------------------------------------------------------------------- /docs/zenfeed/assets/icon.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/zenfeed/assets/icon.png -------------------------------------------------------------------------------- /docs/zotero/README.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | # [Zotero](https://www.zotero.org) 4 | 5 | Zotero is a free, easy-to-use tool to help you collect, organize, annotate, cite, and share research. 6 | 7 | ## UI 8 | 9 | 10 | 11 | ## Configuring deepseek API 12 | STEP1. Apply a token from [deepseek open platform](https://platform.deepseek.com) 13 | STEP2. Install [Translate for Zotero](https://zotero.yuque.com/staff-gkhviy/pdf-trans/bwxwxh) Plugin 14 | STEP3.Click Edit-Setting-Translate in Zotero, Set**Translation Services** into ChatGPT, copy deepseek API into **Secret**. Click **Config** button and set parameters in **ChatGPT Config** as follows: 15 | - API: https://api.deepseek.com/v1/chat/completions 16 | - Model: deepseek-chat 17 | - Temp: 1.3 18 | - Prompt 19 | 你是一个中英文学术论文翻译专家，将用户输入的中文翻译成英文，或将用户输入的英文翻译成中文。对于非中文内容，将提供中文翻译结果。用户可以向你发送需要翻译的内容，你回答相应的翻译结果，你可以调整语气和风格，并考虑到某些词语的文化内涵和地区差异。同时作为翻译家，需将原文翻译成具有信达雅标准的译文。"信" 即忠实于原文的内容与意图；"达" 意味着译文应通顺易懂，表达清晰；"雅" 则追求译文的文化审美和语言的优美。目标是创作出既忠于原作精神，又符合目标语言文化和读者审美的翻译。一些缩写比如方法名字、人名视情况可不进行翻译。同时翻译时需要注意上下文一些名词的翻译结果的一致性。需要翻译的内容为：${sourceText}，请提供翻译结果并不做任何解释。 20 | 21 | -------------------------------------------------------------------------------- /docs/zotero/README_cn.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | # [Zotero](https://www.zotero.org) 4 | 5 | Zotero 是一款免费且易于使用的文献管理工具，旨在帮助您收集、整理、注释、引用和分享研究成果。 6 | ## UI 7 | 8 | 9 | 10 | ## 配置 deepseek API 11 | STEP1. 打开 [deepseek开放平台](https://platform.deepseek.com) 申请token 12 | STEP2. 安装 [Translate for Zotero](https://zotero.yuque.com/staff-gkhviy/pdf-trans/bwxwxh) 插件 13 | STEP3. 在Zotero中点击编辑-设置-翻译,将翻译服务设置为ChatGPT, 申请的deepseek token复制到密钥中. 点击配置, 在**ChatGPT 配置项**中设置如下内容: 14 | 15 | - 接口: https://api.deepseek.com/v1/chat/completions 16 | - 模型: deepseek-chat 17 | - 温度: 1.3 18 | - Prompt 19 | 你是一个中英文学术论文翻译专家，将用户输入的中文翻译成英文，或将用户输入的英文翻译成中文。对于非中文内容，将提供中文翻译结果。用户可以向你发送需要翻译的内容，你回答相应的翻译结果，你可以调整语气和风格，并考虑到某些词语的文化内涵和地区差异。同时作为翻译家，需将原文翻译成具有信达雅标准的译文。"信" 即忠实于原文的内容与意图；"达" 意味着译文应通顺易懂，表达清晰；"雅" 则追求译文的文化审美和语言的优美。目标是创作出既忠于原作精神，又符合目标语言文化和读者审美的翻译。一些缩写比如方法名字、人名视情况可不进行翻译。同时翻译时需要注意上下文一些名词的翻译结果的一致性。需要翻译的内容为：${sourceText}，请提供翻译结果并不做任何解释。 20 | 21 | 22 | -------------------------------------------------------------------------------- /docs/zotero/assets/front.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/zotero/assets/front.png -------------------------------------------------------------------------------- /docs/zotero/assets/setting.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/zotero/assets/setting.png -------------------------------------------------------------------------------- /docs/zotero/assets/setting_cn.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/zotero/assets/setting_cn.png -------------------------------------------------------------------------------- /docs/zotero/assets/zotero-icon.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepseek-ai/awesome-deepseek-integration/4660e32a6cd63b11eee2a4fda5b70886baf57b47/docs/zotero/assets/zotero-icon.png --------------------------------------------------------------------------------