We open-sourced our AI agent config management tool — 888 stars, nearly 100 forks — requesting community feedback

r/artificial
Generative AI

We've been building Caliber to solve AI agent configuration management and released our full setup as open source. The response has been great - 888 GitHub stars and approaching 100 forks. Repo: The problem: every team integrating LLMs/AI agents ends up rebuilding the same config infrastructure - API key management, model selection logic, fallback chains, rate limiting configs. There's no standard. We tried to build that standard and open-source it.