kapillamba4/code-memory
MCP server with local vector search for your codebase. Smart indexing, semantic search, Git history — all offline.
This tool helps software developers quickly find relevant information within their large codebases without manually sifting through files. It takes your code and documentation as input, processes it locally, and then allows you to semantically search for code definitions, architectural patterns, or even Git history. The output is precise code snippets, documentation sections, or commit messages relevant to your query, helping you understand, debug, or extend existing projects more efficiently.
Available on PyPI.
Use this if you are a software developer struggling to quickly find specific code, understand system architecture, or trace changes within a large codebase using traditional search methods or if you want to avoid 'dumping' entire files into an LLM.
Not ideal if you are not a developer and don't work directly with large codebases, or if your primary need is general-purpose text search unrelated to programming.
Stars
24
Forks
3
Language
Python
License
MIT
Category
Last pushed
Mar 02, 2026
Commits (30d)
0
Dependencies
19
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