by Callous-0923 · MCP Server · ★ 298
🤖 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 📖 项目简介 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。 🗺️ 课程路线图(36 章 · 7 层递进) 第1层:Agent 理论基础 | [Ch3](
| Stars | 298 |
| Forks | 23 |
| Language | HTML |
| Category | MCP Server |
| License | MIT |
| Quality Score | 42.9/100 |
| Last Updated | 2026-05-20 |
| Created | 2026-05-14 |
| Platforms | claude-code, mcp |
| Est. Tokens | ~130k |
These tools work well together with agent-study for enhanced workflows:
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agent-study is 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。. It is categorized as a MCP Server with 298 GitHub stars.
agent-study is primarily written in HTML.
You can find installation instructions and usage details in the agent-study GitHub repository at github.com/Callous-0923/agent-study. The project has 298 stars and 23 forks, indicating an active community.
agent-study is released under the MIT license, making it free to use and modify according to the license terms.