boshu2/12-factor-agentops
Operational patterns for AI agents and infrastructure from solo to enterprise scale. Applies DevOps + SRE principles to the intersection: infrastructure FOR AI + AI FOR infrastructure. Alpha framework extracting meta-patterns from mission critical environments.
This project offers a structured way to make your AI agents, like those used for coding, smarter and more reliable over time. Instead of your agent forgetting everything between sessions, it learns from past interactions and avoids repeating mistakes. It takes your raw agent output and feedback, transforming it into documented knowledge that continuously improves future agent performance for individual developers and teams.
Use this if you find your AI agents often repeat the same errors, ignore your coding conventions, or struggle with project-specific context, making each session feel like starting from scratch.
Not ideal if you rarely use AI agents, only use them for one-off tasks without needing continuity, or are solely focused on finding a 'better model' rather than improving operational practices.
Stars
20
Forks
2
Language
Python
License
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Category
Last pushed
Feb 15, 2026
Commits (30d)
0
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