ECC
MCPMIT
Open-source agent harness performance optimization system with skills, memory, and security for AI coding tools.
243k·Developer Tools·Open source
awesome-agentic-ai-zh
Open sourceTrilingual learning roadmap for agentic AI: from LLM basics to multi-agent systems, with 240+ curated resources.
6.5kMIT
A trilingual (繁中 / English / 简中) learning roadmap for agentic AI: from LLM basics to multi-agent systems, with 240+ curated resources and hands-on examples. 中文 AI agent 學習地圖。
Pros
- +Comprehensive structured learning path with 10 stages and tracks
- +Trilingual support (Traditional Chinese, Simplified Chinese, English)
- +Curated resources and hands-on examples
- +Role-based branches for different personas
Cons
- −Not a code library or tool, but a learning resource
- −Requires self-motivation to follow the roadmap
- −May be overwhelming due to many stages and branches
Target audience: Developers, researchers, and learners who want a structured path to master AI agents from basics to production.
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