#30 · Primary category： Education & Research
ai-agent-book
Open-source main repository for 'Deep Understanding of AI Agent: Design Principles and Engineering Practice' (Li Bojie): full text, compiled PDF, and chapter-wise code.
Project last updated：08/29/26
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Apache-2.0
Why we included this project
Li Bojie's open-source book on building AI agents is built around a simple formula: Agent = LLM + context + tools. Its ten chapters run from the fundamentals through context engineering, memory and knowledge bases, tool use and MCP, coding agents, evaluation, and model post-training, which makes it read like one coherent course rather than scattered notes. Each chapter also ships with runnable companion experiments, 95 in total, so you can reproduce the ideas instead of just reading about them. The full text is available as PDF and EPUB in 13 languages, and the online version offers full-text search and per-chapter navigation. Teams getting up to speed on agent development, or individuals who want a structured path from first principles to production patterns, will find this a useful reference to keep beside their own code.
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