by Cranot · MCP Server · ★ 506
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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. It pre-indexes your codebase into a semantic graph -- symbols, dependencies, call graphs, architecture layers, git history, and runtime traces -- stored in a local SQLite DB. Agents query it via CLI or MCP instead of repeatedly grepping files and guessing structure. Unlike LSPs (editor-bound, language-specific) or Sourcegraph (hosted search), Roam provides architecture-level graph queries -- offline, cross-language, and compact. It goes beyond comprehension: Ro
| Stars | 506 |
| Forks | 49 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 66.6805607244332/100 |
| Open Issues | 1 |
| Last Updated | 2026-08-09 |
| Created | 2026-02-09 |
| Platforms | cli, mcp, python |
| Est. Tokens | ~25k |
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roam-code is Local codebase intelligence CLI + MCP server for AI coding agents: SQLite code graph, 28 languages, 285 commands, 244 MCP tools, change-safety gates, audit evidence, zero API keys.. It is categorized as a MCP Server with 506 GitHub stars.
roam-code is primarily written in Python. It covers topics such as ai-agents, ai-coding, cli.
You can find installation instructions and usage details in the roam-code GitHub repository at github.com/Cranot/roam-code. The project has 506 stars and 49 forks, indicating an active community.
roam-code is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to roam-code on Agent Skills Hub include jcodemunch-mcp, Gito, mcpproxy-go. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.