What it unlocks
- A retrieval layer that works with no network once models are cached
- Per-collection egress policy so a collection can be pinned local-only
- Your own GGUF or an OpenAI-compatible endpoint for any model role
A fully local stack: LM Studio for generation, GNO for evidence
GNO indexes the corpus on disk, runs embedding and reranking locally, and exposes retrieval to LM Studio over MCP. Nothing in that loop requires an account, an API key, or a network connection once models are cached.
Install
gno mcp install --target lmstudiogno models pull --allgno --offline query 'topic'A written config file is not a working integration. GNO distinguishes the two, and so should you.
gno mcp status to confirm GNO is registered for the target.gno serve and run the explicit read-only retrieval check. It proves the configured client can actually retrieve, not just that a config file exists.Keep reading