Callous-0923/agent-study
agent-study
28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。
Overview
28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。
Best for
- Evaluating agent-study for HTML AI workflows.
- Comparing a GitHub project with 168 stars and current repository activity.
Pros
- agent-study has visible GitHub traction with 168 stars.
- The GitHub repository is the primary evaluation surface.
Cons
- Production fit still depends on documentation depth, issue activity, and release cadence.
- License review should confirm the MIT terms fit your use case.
Production readiness
agent-study should be validated with its README, release history, open issues, and integration requirements before production use.
License risk
MIT is reported by GitHub; review the repository license before redistribution or commercial use.
Install
git clone https://github.com/Callous-0923/agent-study.git