Artificial Intelligence
codebase-memory-mcp Launches Local Code Intelligence for AI Agents
· GlobeWire Daily Editorial Desk · Source: github.com
Key takeawayscodebase-memory-mcp provides a self‑contained, local alternative to cloud‑based code intelligence platforms, giving AI agents and developers a persistent, searchable knowledge graph of their codebase.

Image: GitHub · Photo source · Resized and letterboxed to 16:9; no AI generation
Overview
- codebase-memory-mcp is an MCP server that builds a persistent local knowledge graph of code, documentation, configuration, and infrastructure.
- It enables developers to locate unfamiliar features, trace calls across services, and assess the impact of changes without relying on a hosted service.
Key Features
- Graph‑based indexing: No API keys or external hosting required; indexes stay on the machine.
- CBM Lens (Beta): Visual companion with source reader, architecture maps, 3D Galaxy view, coverage diagnostics, and local chat.
- Native C backend: 17 MCP tools, multi‑language parsing, hybrid LSP type resolution.
- Wide client support: 45 integrations for tools like Claude Code, Codex, OpenCode, etc.
- Smart CI: Combines static relationships with per‑test coverage for C/C++ test harnesses, falling back to broader runs when evidence is insufficient.
- Local processing: All analysis runs locally; optional browser AI model can be downloaded for on‑device inference.
How It Works
- Install via script or package manager; a daemon runs in the background.
- Start the visual UI with `codebase-memory-mcp daemon start --open --port=9749`.
- Index a project with a single command; the graph persists across sessions.
- Query the graph from the CLI or through MCP hooks; results reduce repeated file reads and token usage.
Practical Implications
- Reduced latency: No network round‑trips for code navigation.
- Privacy: Sensitive code never leaves the local machine.
- Team baseline: Optional graph artifacts allow sharing a common reference across a team.
- CI integration: Smart CI can pre‑check changes against indexed relationships before they are merged.
Verification
- The original announcement and installation instructions are available in the GitHub repository at https://github.com/DeusData/codebase-memory-mcp
- Users can inspect the source code, download the latest release, and test the tool on their own repositories.
- The project includes a security guide (SECURITY.md) and notes on known false‑positive antivirus detections.
Confirmed Information
- The tool is open‑source under an MIT‑like license.
- It supports macOS, Linux, and Windows.
- The visual Lens is in open beta (v0.0.1) and can be accessed via a browser UI on port 9749.
- Indexing and graph queries require no external service.
Reported Claims / Unknowns
- No external claims are made by the project; all features are described in the repository.
- Unknown: Future roadmap beyond the current beta features.
Getting Started
- Download the appropriate archive for your platform.
- Run the installer (`./install.sh` or `.\install.ps1`).
- Start the daemon and open the UI.
- Index a project and begin exploring with Lens or CLI.
Conclusion
codebase-memory-mcp provides a self‑contained, local alternative to cloud‑based code intelligence platforms, giving AI agents and developers a persistent, searchable knowledge graph of their codebase.
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Read the original source: codebase-memory-mcp: local code intelligence for AI agents via MCP - GitHub
AI-assisted reporting; source claims are attributed and have not been independently verified.
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