We released an open source tool that handles AI agent setup and config. 700 stars and growing. What features do you want to see?

Reddit r/artificial / 4/25/2026

📰 NewsDeveloper Stack & InfrastructureSignals & Early TrendsTools & Practical Usage

共有:

Key Points

The authors say setting up AI agents has been inconsistent and painful across projects, with scattered configurations and unexpected gaps between local and production behavior.
They released an open-source tool called Caliber to make AI agent setup reproducible and easier to manage.
The project has gained traction on GitHub, reaching 700 stars and approaching 100 forks.
The post invites community feedback on how people currently manage agent configs across environments and asks what pain points Caliber does not yet address.
The creators emphasize building in public and treating everyday AI practitioners’ input as a key driver for future development.

Hey everyone,

A while back we got frustrated with how painful it is to set up AI agents consistently. Every project had its own approach, configs were scattered, and the gap between what works locally vs in production was always a surprise.

So we built Caliber. Open source, free, focused on making AI agent setup reproducible and sane.

We just crossed 700 GitHub stars and are almost at 100 forks. Sharing here because we want feedback from people who actually work with AI systems day to day.

Repo: https://github.com/caliber-ai-org/ai-setup

What is your current approach to managing agent configs across environments? And if there is a specific pain point you have that Caliber does not yet solve, we want to hear it. Building in public and taking the community seriously.

submitted by /u/Substantial-Cost-429
[link] [comments]