roam-code: Local codebase intelligence CLI + MCP server for AI coding agents

by Cranot · MCP Server · ★ 517

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install roam-code

pip install roam-code
pipx install roam-code

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 67/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

ai-agentsai-codingclicode-analysiscode-graphcode-intelligencecode-qualitycode-reviewdeveloper-toolsgraph-analysis

Quick Facts

Stars517
Forks50
LanguagePython
CategoryMCP Server
LicenseApache-2.0
Quality Score67/100
Open Issues13
Last Updated2026-10-20
Created2026-02-09
Platformscli, mcp, python
Est. Tokens~25k

About roam-code

roam-code The architectural intelligence layer for AI coding agents. Structural graph, architecture governance, multi-agent orchestration, vulnerability mapping, runtime analysis -- one CLI, zero API keys. 147 commands · 106 MCP tools · 27 languages · 100% local What is Roam? Roam is a structural intelligence engine for software.

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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