bojieli/ai-agent-book
《深入理解 AI Agent：设计原理与工程实践》（李博杰 著）开源主仓库：全书正文、编译版 PDF 与按章配套代码
What it solves
It addresses the gap between theoretical understanding and practical engineering in the field of AI Agents. The project provides a comprehensive guide to moving from basic LLM interactions to building production-ready agents using the formula: Agent = LLM + Context + Tools.
How it works
The project is structured as a 10-chapter book covering topics from context engineering and RAG to coding agents, model fine-tuning, and multi-agent collaboration. It accompanies the text with 92 practical experiments and code implementations, including 70+ independently runnable projects that demonstrate real-world applications like browser automation, robotic control, and autonomous coding.
Who it’s for
- AI engineers and developers looking to implement agentic workflows.
- Researchers interested in agent evaluation, fine-tuning, and multi-agent systems.
- Students and enthusiasts wanting to learn AI agent principles through hands-on coding experiments.
Highlights
- 10 chapters covering the full lifecycle from fundamentals to production.
- 92 accompanying experiments and code samples.
- Multilingual support in Chinese, English, Russian, Tamil, Vietnamese, and Japanese.
- Practical coverage of advanced topics like MCP protocols, RAG, and Sim2Real robotics.