Goldziher/basemind

basemind

Give your AI coding agent a brain for your repo.

basemind is a code-map MCP server: it indexes your codebase into a queryable map so AI coding agents — Claude Code, Cursor, Continue, anything that speaks MCP — get instant semantic answers about your code. Where is this defined? Who calls it? When did it change? What's churning?

Sub-millisecond queries. 300+ languages out of the box. Local-only. Built in Rust.

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Why your agent needs this

Today, agents read code by grepping blind. Ask Claude "who calls parseQuery?" and it ripgreps the string — you get hits in docs, tests, comments, and 14 unrelated files. The agent burns context filtering noise, then guesses.

LSPs are the semantic answer, but they're single-language, slow to start, and useless across a polyglot monorepo.

basemind is the missing layer. One index, every language, semantic-quality answers at grep speed — exposed to the agent over MCP as concrete tools (find_callers, find_references, outline, symbol_history, blame_symbol, hot_files, …) instead of "go grep again."

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30-second setup

Install (pick one):

brew install Goldziher/tap/basemind     # macOS, Linux
npm install -g basemind                 # any Node 14+ platform
pip install basemind                    # any Python 3.8+ platform
cargo install basemind --locked         # build from source

Opt-in intelligence build (PDF/Office ingestion, seman