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agent-study

by Callous-0923 · HTML · ★ 386

View on GitHub ↗

36章AI Agent全栈课程：从ReAct循环到Claude Code逆向、MCP/A2A协议、RAG、DSPy、生产可观测性——全部为可运行Python文件，面试导向。

Install

git clone https://github.com/Callous-0923/agent-study.git

Auto-generated from the repo's primary language — check the repo's own README for its exact install instructions.

Claude Desktop config

A starting point for your claude_desktop_config.json (auto-generated — the repo's README may specify a published package name or required env vars): 

{
  "mcpServers": {
    "agent-study": {
      "command": "npx",
      "args": [
        "-y",
        "github:Callous-0923/agent-study"
      ]
    }
  }
}

From the README

🤖 AI Agent 全栈学习课程 从零到一，系统掌握 AI Agent 核心理论与工程实践 36 章节 · 22000+ 行代码 · 60+ 可运行示例 · 面试全覆盖 🇺🇸 English README 这是一套**面向求职**的 AI Agent 全栈学习课程，从 Agent 基础理论到 Claude Code 逆向工程、从 RAG 到 MCP/A2A 协议、从 DSPy 到生产可观测性，覆盖 **28 个主题、7 个层次**。每个章节都是 **可独立运行的 文件**，既是完整讲义，又是可执行代码。 > **适合人群**：应届毕业生、转行工程师、任何想系统学习 AI Agent 的开发者。 --- | 章节 | 内容 | 关键技术 | |------|------|----------| | **[Ch0](https://callous-0923.github.io/agent-study/chapter_00_overview/00_course_overview.html)** | 课程概览与环境搭建 | 学习路线图、依赖安装、API Key 配置 | | **[Ch1](https://callous-0923.github.io/agent-study/chapter_01_fund…
Read full README on GitHub →

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