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punt-quarry

Enables local semantic search over documents (PDFs, code, etc.) using local embedding models, allowing AI agents and users to find information by meaning without API keys or cloud services.

Score
44.2562 signals
Evidence
3 stars · 1 fork
Last commit
as last read from GitHub; most reads are from 2 Sep 2026 or later
Listed

Install

No one-command install. Set it up from its source.

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What it is

Enables local semantic search over documents (PDFs, code, etc.) using local embedding models, allowing AI agents and users to find information by meaning without API keys or cloud services.

When to use it

Enables local semantic search over documents (PDFs, code, etc.) using local embedding models, allowing AI agents and users to find information by meaning without API keys or cloud services.

How to install / invoke

See Glama for the install config.

Notes

Listed from the Glama MCP registry.