lintsinghua/claude-code-book

《御舆:解码 Agent Harness》42万字拆解 AI Agent 的Harness骨架与神经 —— Claude Code 架构深度剖析,15 章从对话循环到构建你自己的 Agent Harness。在线阅读网站:

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Summary Information

Updated 46 minutes ago
Added to GitGenius on September 16th, 2026
Created on March 31st, 2026
Open Issues & Pull Requests: 9 (+0)
GitHub issues: Enabled
Number of forks: 835
Total Stargazers: 4,267 (+1)
Total Subscribers: 14 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 6.1 days
Mean response time: 33.9 days
90th percentile: 132.1 days
Tracked items: 9

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Open issues: 6
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 121 days
Stale 30+ days: 6
Stale 90+ days: 4

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Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

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Detailed Description

Claude Code Book is an educational resource that provides in-depth analysis of AI agent architecture and the Claude Code framework.

The project addresses the need for developers to understand how AI agents work internally, particularly the harness architecture that orchestrates agent behavior. It takes a systematic approach by breaking down agent design across fifteen chapters, progressing from fundamental conversation loops to practical guidance on building custom agent harnesses. The material covers both the structural skeleton and the neural mechanisms that enable agents to function effectively.

Developers building AI agents with Claude or exploring agent-based systems will find this resource most valuable. It suits anyone seeking to move beyond surface-level understanding of how agents coordinate their components, from conversation management to tool integration. The project is particularly relevant for those interested in the Anthropic ecosystem and the Model Context Protocol, as these topics feature prominently in the curriculum.

The project maintains a stable online reading platform alongside the repository, indicating sustained attention to accessibility and user experience. Development activity shows consistent engagement with the material, suggesting the resource receives regular maintenance and updates to keep pace with evolving agent architectures and best practices.