├── .env ├── .gitignore ├── .python-version ├── 01-Agent系列教程01-什么是Agent？当今为什么这么重要？.md ├── 07-jsonrepair.py ├── README.md ├── agentic_rag ├── RAG_without_Embeddings.ipynb ├── demo.py ├── main.py └── rag_without_embeddings.py ├── codes └── agents.py ├── deep_research_agent ├── README.md ├── agents.py ├── app.py ├── config.py ├── env.example ├── language_utils.py ├── prompts.py ├── reports │ └── report_2025-05-18_02-23-47.md ├── state.py ├── topology.py └── utils.py ├── deep_research_from_scratch ├── README.md ├── demo.py ├── full_deepresearch_multi_agent.png ├── multi_agent_supervisor.py ├── prompts_en.py ├── prompts_zh.py ├── research_agent.py ├── research_agent_full.py ├── research_agent_scope.py ├── research_report_20250904_121739.md ├── researcher_agent.png ├── scope_research.png ├── state_multi_agent_supervisor.py ├── state_research.py ├── state_scope.py ├── supervisor_agent.png └── utils.py ├── langraph-101 ├── 001_memory.py ├── 002_structed_response.py ├── 003_agent.py ├── 003_optimizer.py ├── 003_orchestrator.md ├── 003_orchestrator.py ├── 003_routing.py ├── 003_workflows.py ├── 004_graph.py ├── 004_state.py ├── 004_state_graph.py ├── 005_async.py ├── 006_multi_agent_improve.py ├── 006_multiagent.py ├── 007_astream_noapi_langgraph.py ├── 007_astream_struct_langchain_api.py ├── 007_astream_struct_v2.py ├── 007_astream_struct_v3.py ├── 00_basics.py ├── 00_basics_langchain.py ├── README.md ├── agent.png ├── agent_output.json ├── graph.png ├── improved_multiagent_report_1756438455.md ├── improved_multiagent_system.png ├── llm_output.json ├── multiagent_report_1756437737.md ├── multiagent_report_workflow.png ├── optimizer_workflow.png ├── orchestrator_worker.png ├── parallel_workflow.png ├── routing_graph.png ├── state.png ├── state_graph.png └── workflow_graph.png ├── main.py ├── ollama_mcp ├── client.py └── server.py ├── paper_reading ├── .DS_Store ├── app.py ├── arxiv_search_download.py ├── paper_reading.py ├── parsed_output │ ├── images │ │ ├── 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