roam-code
Enforces architectural constraints and security governance in multi-agent coding workflows before code reaches production.
Architectural intelligence layer for AI coding agents. Structural graph, architecture governance, multi-agent orchestration, vulnerability mapping. 139 commands, 101 MCP tools, 26 languages, 100% local.
- Validate microservice boundaries during agent-generated code reviews
- Flag dependency violations before merging to main branch
- Map and enforce least-privilege patterns across service graphs
Enforces architectural constraints and security governance in multi-agent coding workflows before code reaches production. Detects structural violations and vulnerability patterns across large codebases in real-time.
Teams running AI-assisted development at scale who need automated guardrails against architectural drift and security regressions across 26+ languages.
https://github.com/Cranot/roam-code
By Cranot
How to Get It
claude plugins install Cranot/roam-code
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 validate microservice boundaries during agent-generated code reviews
Trust Signals Auto-scanned
Community Pulse Active
Discussed on Hacker News, Reddit
- [WP] As a free roaming ghost, you finally feel like you can breach and explore A — Reddit · 4795 pts
- Measuring Code Complexity by Its Shape and Distribution — Hacker News · 22 pts
- I built a CLI that replaces Claude Code's explore phase with deterministic retri — Reddit · 5 pts
3 mentions across 2 sources
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 463 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.
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Evaluation
Scored from trust signals (evidence-eval-v1): 463 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.