Open-Sourced AI Agent Engineering Handbook: Covers RAG, MCP, and Multi-Agent
No-Car-1066 · reddit · 2026-08-01
The author has open-sourced AI-Agent-Skills, a comprehensive knowledge base designed to serve as an engineering handbook for building AI agents.
Key features include:
- Comprehensive Coverage: 20 categories spanning cognitive strategies (CoT, ToT), tool use & MCP, RAG techniques, multi-agent patterns, and safety/deployment.
- Practice-Oriented: Each topic includes architecture diagrams, worked examples, honest "when NOT to use this" sections, and real paper citations.
- Vendor-Neutral: Focuses on universal concepts decoupled from specific cloud providers. The project also includes contribution templates and a roadmap to encourage community growth.
More from coding & agent
- Benchmark Showdown: Google Opal Beats Devin in Full-Stack App Dev in 45 Seconds — SimplyAnnisa · 2026-08-01
- Kastor: Open-Source Terraform-Style Source-of-Truth Layer for AI Agents — ctjlewis · 2026-08-01
- ChainStrip: Hardening npm Supply Chain by Stripping Unused Dependencies — ctjlewis · 2026-08-01
- Agents Work Because Your Tasks Are Boring, Not Because of Your Skills — MarcJSchmidt · 2026-08-01
- Google Opal Beats Devin in Coding Test: Ships Working App in 45 Seconds — eyishazyer · 2026-08-01
- UniFace: Open-Source Library Unifies Face Detection, Recognition, and Tracking — tom_doerr · 2026-08-01