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Open-Source AI Agent Book "Deep Understanding of AI Agents: Design Principles and Engineering Practices" Surpasses 12,000 Stars
Open-Source AI Agent Book "Deep Understanding of AI Agents: Design Principles and Engineering Practices" Surpasses 12,000 Stars
 GitHubDaily@GitHub_Daily
想系统搞懂 AI Agent 到底怎么设计，网上的文章大多只讲理论概念，没有实战项目。
偶然发现《深入理解 AI Agent：设计原理与工程实践》这本开源书籍，已斩获 12000+ Star！
Agent = LLM + 上下文 + 工具，全书围绕这核心公式展开，共 10 章节从 AI Agent 原理讲到工程实战。
GitHub：github.com/bojieli/ai-age…
涵盖上下文工程、记忆与知识库、工具与 MCP、评估、后训练、多 Agent 协作等知识。
并配套了 88 个实战项目，其中 70 多个能够独立运行起来，每一章都配图一个案例。
提供 PDF 和 EPUB 文件下载阅读，除简体中文外还有繁体、英文、泰米尔语和越南语版本。Show More
Jul 21, 2026, 1:30 PM View on X
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One Sentence Summary
This tweet shares an open-source book centered on the formula Agent = LLM + Context + Tools, featuring 10 chapters and 88 hands-on projects, available for download in multiple languages as PDF/EPUB.
Summary
GitHubDaily recommends an open-source book titled "Deep Understanding of AI Agents: Design Principles and Engineering Practices," which has garnered over 12,000 stars on GitHub. The book's core formula is Agent = LLM + Context + Tools. Spanning 10 chapters, it covers everything from principles to engineering practice, including context engineering, memory and knowledge bases, tools and MCP, evaluation, post-training, and multi-agent collaboration. It comes with 88 hands-on projects (over 70 of which can run independently), with each chapter illustrated by a case study. PDF and EPUB downloads are available in Simplified Chinese, Traditional Chinese, English, Tamil, and Vietnamese.
AI Screening
78
Influence Score 12
Published Yesterday
Language
Chinese
Tags
AI Agent
Open-Source Book
Design Principles
Engineering Practice
Multi-Agent Collaboration
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