Caliber: open-source community registry for AI agent config files (CLAUDE.md, .cursor/rules, GEMINI.md) — 888 stars

Reddit r/artificial / 5/3/2026

💬 OpinionDeveloper Stack & InfrastructureSignals & Early TrendsTools & Practical Usage

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Key Points

AI coding tools are driving adoption of “agent configuration files” (e.g., CLAUDE.md, .cursor/rules, GEMINI.md, and system prompts) that specify how agents understand and act on a codebase.
Caliber proposes an open-source community registry to reduce siloed, independently-written configs by centralizing structured, searchable contributions.
The project supports searching configs by tool, use case, and tech stack, and uses an open PR workflow for ongoing community updates.
Caliber also provides an NPM package to enable programmatic access to the registry contents.
The post invites feedback on whether this approach is effective for building shared AI configuration knowledge and what patterns are most valuable or currently missing.

AI coding tools like Claude Code, Cursor, and Gemini CLI have created a new category of infrastructure: agent configuration files.

Developers write CLAUDE.md, .cursor/rules, GEMINI.md, and system prompts to define agent behavior — how the AI thinks about the codebase, communicates, and makes decisions.

But these configs are siloed. Everyone writes them in isolation. There's no community layer.

We built Caliber to solve this: an open-source community registry for AI agent config files.

What it provides:

- Community-contributed configs with structured context

- Searchable by tool, use case, and tech stack

- Open PR workflow for contributions

- NPM package for programmatic access

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

Stats: 888 stars, ~100 forks.

What we're looking for from r/artificial:

- Is this the right approach to building community knowledge around AI configs?

- What configs or patterns have you found most valuable when working with AI agents?