This is a very early version - many entries are AI-assisted placeholder content that needs refinement from real practitioners. The goal is to collect the practical techniques teams keep independently rediscovering (context window management, sub-agent spawning, feedback loops, etc).
If you've built agents and recognized patterns that made them more effective, I'd love your contributions.
http://github.com/nibzard/awesome-agentic-patterns/
The criteria are simple:
Repeatable - more than one team is using it Agent-centric - improves how an AI agent senses, reasons, or acts Traceable - backed by a public reference
Inspired by the "Raising an Agent" podcast from Sourcegraph. PRs welcome for both new patterns and improvements to existing ones.