# AI Agent Hands-On Handbook (Chinese Edition)

A bilingual, Chinese-first hands-on course that teaches AI agent development from zero to full-stack deployment, covering more than ten agent frameworks across 23-plus chapters with runnable examples.

This is a tutorial handbook aimed at Chinese-speaking developers who want to learn AI agent development from the basics through to production deployment. It has more than 23 chapters, over 9 runnable examples, and a bilingual Chinese/English glossary of more than 80 terms, with a dedicated zero-basics chapter that walks through building a first agent in about ten minutes.

Chapters cover mainstream frameworks and tools including LangGraph, CrewAI, AutoGen, Dify, LlamaIndex, the OpenAI Agents SDK, Mastra, and Ollama, alongside topics such as building a ReAct agent from scratch, multi-agent collaboration, retrieval-augmented generation with LlamaIndex, observability, and coding-agent tools such as Codex CLI, Continue, Aider, and Trae. Reading paths are suggested for different reader types, from complete beginners to architects.

A Docker-based one-command environment is provided for readers who do not want to install a local Python environment.

Website: https://github.com/Xwh630/ai-agent-handbook