DeusData

DeusData / codebase-memory-mcp

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MCP server that indexes your codebase into a persistent knowledge graph. 35 languages, sub-ms queries, 99% fewer tokens than grep. Single Go binary, no Docker, no API keys.

64
8
100% credibility
Found Feb 27, 2026 at 37 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Go
AI Summary

A standalone program that creates a persistent map of your codebase's structure for AI tools to query efficiently, reducing token usage for code analysis.

How It Works

1
🔍 Discover a smarter way to explore code

You hear about a helpful tool that lets AI assistants understand your entire codebase instantly, saving tons of time and tokens on questions like 'what calls this function?'.

2
đź“Ą Grab the ready-to-use program

Download the simple program for your computer—no setup hassles, just a single file that works right away.

3
đź”— Tell your AI helper about it

Point your AI coding buddy (like Claude) to the program so it can use special tools to understand your code structure.

4
🚀 Say 'map out this project'

With one command, the tool scans your code and builds a smart map of functions, classes, calls, and connections—ready in seconds.

5
đź’¬ Ask any code question

Now ask 'show me callers of main' or 'find dead functions' and get precise answers from the map, not endless file searches.

6
🔄 It keeps itself fresh

As you edit code, the map updates automatically in the background—no need to rebuild.

âś… Code exploration unlocked

Your AI now navigates your project like a pro, spotting patterns and connections effortlessly while you focus on building.

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Star Growth

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AI-Generated Review

What is codebase-memory-mcp?

This Go binary indexes your codebase across 12 languages like Python, Go, JavaScript into a persistent SQLite knowledge graph, enabling sub-millisecond structural queries via MCP tools. Pair it with Claude Code or any MCP-compatible client—like mcp github copilot vscode—for call tracing, dead code detection, and Cypher-like graph searches without grep's token bloat. A single `index_repository` command builds the graph; auto-sync handles changes, with CLI access for scripting mcp server examples.

Why is it gaining traction?

It slashes LLM token use by 99% versus file-by-file exploration, delivering precise results in one API call—ideal for mcp github copilot or mcp server ai workflows. No Docker, API keys, or external DBs; just download and run, supporting mcp github python, mcp github issues analysis, even cross-service HTTP links. Incremental indexing and Cypher queries like `MATCH (f:Function)-[:CALLS]->(g)` make complex navigation feel instant.

Who should use this?

Backend engineers debugging monorepos or tracing calls in Go/Python/JS services. DevOps teams spotting dead code or HTTP dependencies without manual greps. VSCode users extending mcp github copilot vscode, or project managers querying mcp github project manager graphs for onboarding.

Verdict

Early but solid—12 stars and 1.0% credibility score reflect newness, yet comprehensive docs, CLI, and tests make it production-ready for MCP setups. Try it if you're on Claude; skip for non-MCP flows until stars climb.

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