Caliber open-source AI setup repo tops 800 stars

The interesting part here is not just the templates, it’s the upkeep layer: Caliber tries to solve config drift, which is the actual pain once teams start using agent tooling seriously. That makes it feel more like AI setup infrastructure than another “awesome prompts” repo.

• –Generates and maintains `CLAUDE.md`, `.cursor/rules/`, `AGENTS.md`, MCP configs, and related agent files as the codebase evolves
• –Adds deterministic scoring and local bootstrap flows, which is useful for teams that care about reproducibility, privacy, and auditability
• –Supports multiple agent surfaces in one repo, reducing fragmentation across Claude Code, Cursor, Codex, OpenCode, and GitHub Copilot
• –The traction suggests devs want opinionated, shared defaults instead of rebuilding agent setup from scratch in every project
• –If the community keeps contributing, the repo could become a practical standard for multi-agent project onboarding