GitHub Repository: Curated Catalog of Agentic AI Patterns and Best Practices
By
PretzelFisch
Warm and crisp on the edges. A bagel with a bit of bite.
Summary
A curated GitHub repository cataloging patterns and best practices for building agentic AI systems, covering key architectural components including context management, feedback mechanisms, learning approaches, orchestration strategies, reliability measures, security considerations, tool integration, and user experience design for collaborative AI agents.
Key quotes
· 5 pulledContext & Memory: Sliding‑window curation, vector cache, episodic memory
Feedback Loops: Compilers, CI, human review, self‑healing retries
Learning & Adaptation: Agent RFT, skill libraries, variance‑based RL
Orchestration & Control: Task decomposition, sub‑agent spawning, tool routing
Security & Safety: Isolated VMs, PII tokenization, security scanning
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