cartographer
Enables teams to maintain centralized, version-controlled documentation that AI agents can safely update without corrupting institutional knowledge, reducing…
A shared, git-backed wiki your team's AI agents maintain but can't break — Claude Code, Codex, OpenCode and any MCP client.
- Generate living documentation that Claude automatically updates as your codebase evolves.
- Ask Claude to store architectural decisions in version-controlled wiki pages your team references.
- Maintain a shared knowledge base Claude agents can read but never accidentally overwrite or corrupt.
Enables teams to maintain centralized, version-controlled documentation that AI agents can safely update without corrupting institutional knowledge, reducing manual doc maintenance while preserving audit trails.
Engineering teams using multiple AI coding agents who need reliable, collaborative documentation that survives agent iterations.
https://github.com/BeppeTemp/cartographer
By BeppeTemp
How to Get It
claude plugins install BeppeTemp/cartographer
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
After installing, paste this into Claude:
Help me generate living documentation that Claude automatically updates as my codebase evolves
Trust Signals Auto-scanned
Community Pulse Growing
Discussed on Hacker News
- Cartographers have been hiding illustrations inside Switzerland’s maps (2020) — Hacker News · 351 pts
- Cartographers of North Korea (2019) — Hacker News · 317 pts
- The Wisconsin cartographer who mapped Tolkien's fantasy world — Hacker News · 233 pts
3 mentions across 1 sources
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 38 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
How to evaluate tools before deploying →
Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.
Evaluation
Scored from trust signals (evidence-eval-v1): 38 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.