ИИ-агенты
Langchain
The agent engineering platform
★ 147,4 тыс. звёздMIT
Смотреть руководство →deepagents-in-action — проект с открытым исходным кодом из категории «ИИ-агенты» от datawhalechina (datawhalechina/deepagents-in-action на GitHub). У него 2 578 звёзд на GitHub и 262 форка, он распространяется по лицензии Custom и последний раз обновлялся на GitHub 1 октября 2026.
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.
Другие проекты из категории «ИИ-агенты» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если deepagents-in-action вам не подходит.
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.
Соседние проекты из категории «ИИ-агенты» в каталоге, ближайшие по числу звёзд к deepagents-in-action — продолжайте изучать полку по обе стороны от него.
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.
Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.