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roam-code

Active·★ 466·MIT·Updated 2026-05-25
★ Code Assistant★ Dev Tooling

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.

Roam is a structural intelligence engine that pre-indexes codebases into a semantic graph using SQLite, tree-sitter, and git history. It provides AI coding agents with five core verbs—understand, retrieve, context, preflight, critique—replacing dozens of grep/read calls with a single graph query. The tool is 100% local, supports 27 languages, and offers 154 commands along with 120 MCP tools.

#ai-coding#ai-tools#architecture#cli#code-analysis#code-graph#code-intelligence#code-quality
$ Install
$ pip install roam-code
↗ Visit site★ GitHub
01

Features

01Five core verbs (understand, retrieve, context, preflight, critique) covering ~80% of agent workflows
02Local SQLite graph index with tree-sitter parsing and git history, no API keys required
03Graph-aware retrieval with hybrid FTS5 and structural reranker
04CI-ready with SARIF output, quality gates, and GitHub Action integration
05MCP server with 120 tools for direct integration with AI coding agents
02

Compatibility

Claude Code
Claude Code
Verified via docs
Cursor
Cursor
Verified via docs
Aider
Aider
Verified via docs
MCP
MCP
Verified via docs
GitHub Actions
GitHub Actions
Verified via docs
GitLab CI
GitLab CI
Verified via docs
03

Quick start

1
$ pip install roam-code
04

Use cases

↳Agent-assisted coding: reduce token usage and tool calls by using structured graph queries
↳Architecture governance: health scoring, CI quality gates, budget enforcement, and fitness functions
↳Safe refactoring: blast radius analysis, affected test detection, and pre-change safety checks
05

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Related searches

roam-code AlternativesBest Multi-Agent Tools 2026Open Source Multi-Agentroam-code Tutorialroam-code Vs Competitorsai-codingai-toolsarchitecture

Comments

Log in to leave a comment
  • A
    Aspen BrownMay 14, 2026

    The roam-code approach to architecture is more useful than flat code search for refactoring

  • L
    Logan ClarkApr 22, 2026

    Architectural intelligence layer with structural graphs gives AI genuine codebase understanding

  • M
    Marlowe RiveraApr 18, 2026

    The structural graph catches architectural issues that text search misses entirely

  • S
    Spencer AndersonMar 27, 2026

    Used for large codebase navigation and architectural analysis, very insightful

On this page
01Features02Compatibility03Quick start04Use cases05Alternatives
Stats
GitHub Stars★ 466
Last commit5d ago
StatusActive
LicenseMIT
CategoryMulti-Agent
Trend (30d)
+18.6↑ 0.5%
Links
Documentation↗Discussion↗Issues↗Releases↗

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