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The ai-agent-book MCP server was last committed today and has 91 contributors. Issue health: 96% of issues resolved. AgentRank freshness score reflects real-time maintenance activity.

ai-agent-book MCP Server

Name: bojieli/ai-agent-book
Rating: 4.9 (1 reviews)
Author: bojieli

bojieli/ai-agent-book

Score: 96.8 Rank #40 Agent Framework

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《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

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Overview

bojieli/ai-agent-book is a Python tool licensed under Apache-2.0. 《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 Topics: agent, agent-memory, ai-agent, book, coding-agent, context-engineering, large-language-models, llm, mcp, multi-agent, multimodal, rag, reinforcement-learning.

Ranked #40 out of 24840 indexed tools.

In the top 1% of all indexed tools.

Has 50,864 GitHub stars.

Has 91 contributors.

Actively maintained with commits in the last week.

Ecosystem

Python Apache-2.0

agentagent-memoryai-agentbookcoding-agentcontext-engineeringlarge-language-modelsllmmcpmulti-agentmultimodalragreinforcement-learning

Score Breakdown

Stars 15% 50,864

50,864 stars → extremely popular

Freshness 25% today

Last commit today → actively maintained

Issue Health 25% 96%

213/223 issues closed → responsive maintainer

Contributors 10% 91

91 contributors → active community

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A

PyPI Downloads N/A

Forks 5,706

Description Good

License Apache-2.0

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

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Details

Stars: 50,864
Forks: 5,706
Open Issues: 10
Closed Issues: 213
Contributors: 91
Dependents: —
Language: Python
License: Apache-2.0
Last Commit: today

Matched Queries

topic:mcp

From the README

# 深入理解 AI Agent：设计原理与工程实践

    

**中文** ← 当前 · [English](docs/en/README.md) · [Español](docs/es/README.md) · [Bahasa Indonesia](docs/id/README.md) · [العربية](docs/ar/README.md) · [繁體中文（台灣）](docs/zh-TW/README.md) · [Русский](docs/ru/README.md) · [Tiếng Việt](docs/vi/README.md) · [தமிழ்](docs/ta/README.md) · [日本語](docs/ja/README.md) · [Türkçe](docs/tr/README.md) · [한국어](docs/ko/README.md) · [Magyar](docs/hu/README.md) · [עברית](README.he.md) · [Português (Brasil)](README.ptbr.md)

> 📥 **[下载 PDF / EPUB](#-电子书)**（推荐）— 推荐使用 PDF / EPUB 离线阅读，排版最佳；也可[在线阅读](https://bojieli.github.io/ai-agent-book/astro/)（支持多语言切换、章节折叠、高亮与笔记，每次推送自动更新）。

**Agent = LLM + 上下文 + 工具**——本书围绕这个核心公式，用 10 章把 AI Agent 从原理讲到工程实战。全书正文、配图、**109 个配套实验**全部开源，欢迎亲手把实验跑一遍。

> 📚 **姊妹篇《深入理解 AI Infra：量化分析与系统设计》已开源发布**，欢迎阅读：[github.com/bojieli/ai-infra-book](https://github.com/bojieli/ai-infra-book)
>
> 要开发好基于模型的应用，还需要理解这类应用赖以运行的基础设施。姊妹篇讨论的就是支撑模型训练与推理的 AI Infra：参数和上下文状态存在哪里，计算怎样执行，多个加速器怎样协作。

> 📢 **2.0 版变更（相较 1.4 版）**：本仓库书稿版本已由 1.

Read full README on GitHub →

See alternatives to bojieli/ai-agent-book → Browse agent-framework category → Compare bojieli/ai-agent-book → A2A vs MCP: Agent Protocol Comparison →What is MCP? Model Context Protocol Explained →

View on GitHub →