AIエージェント
Langchain
The agent engineering platform
★ 147.4k スターMIT
ガイドを見る →deepagents-in-actionは、datawhalechinaが公開しているオープンソースのAIエージェントプロジェクトです（GitHub: datawhalechina/deepagents-in-action）。GitHubスターは2,578、フォークは262で、Customライセンスの下で公開されています。GitHubでの最終更新は2026年10月1日です。
Chinese guide to building production-grade AI agents with LangChain and LangGraph.
Browse the course site or notebooks.
Build first agents with LangChain.
Study LangGraph patterns for production.
Apply production-grade practices.
From zero to deployed agents.
Modern agent orchestration.
Authored by a LangChain insider.
Learn by running code.
An end-to-end curriculum.
Built for Chinese developers.
Download the source and move into the project folder.
git clone https://github.com/datawhalechina/deepagents-in-action.git
cd deepagents-in-actionEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project’s launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandThe Datawhale China community at datawhalechina/deepagents-in-action.
Chinese.
Yes. Open and free to study.
Python basics and some LLM familiarity help.
Yes. They are interactive Jupyter notebooks.
The agent engineering platform
Build resilient agents
100+ AI Agents, Agent Skills and RAG Apps - Free and Open Source.
A production-grade platform for building agentic chat bots on every IM platform
A Large Action Model framework for building AI web agents that browse and act for you.
A zero-code platform for auto-generating production-grade AI agents with unified tools, skills and memory.
LibreAIカタログに掲載されたAIエージェントプロジェクトの中で最もスターの多いもの — deepagents-in-actionが合わなかった場合に検討したい、現実的な候補リストです。
A personal AI that really does things — on any OS, with your data staying yours.
An agentic skills framework & software development methodology that works.
Agent harness optimization system with skills, memory and security for Claude Code, Codex and more
The agent that grows with you — a Python framework for adaptive AI agents.
DeepSeek's plugin-based agent harness where everything is a plugin.
カタログの中でdeepagents-in-actionとスター数が近いAIエージェントプロジェクト — 前後の棚もそのまま見て回れます。
Modular Python framework for AI agents and workflows with tools and memory.
Offline multi-agent simulation and prediction engine: Neo4j plus Ollama, local.
Make your agents learn from experience with a dedicated context engine.
Apache framework for apps that make decisions: agents, chatbots, simulations.
Build, run, and scale AI agents like APIs and microservices.
Simple desktop AI assistant with knowledge bases, agents, and web search.
無料でオープン — ソースコードを入手して、リポジトリにスターを付け、作り始めましょう。