Local, explainable knowledge base for AI agents: hybrid search with provenance over SQLite.
Memory-find is an MCP integration. Local, explainable knowledge base for AI agents: hybrid search with provenance over SQLite.
The published mcpb package is https://github.com/kKEo/memory-find/releases/download/v1.4.6/memo-mcp_1.4.6_linux_amd64.tar.gz, version 1.4.6. Its declared MCP transport is stdio.
The package declares MEMO_KB: Name of the knowledge base to open; one SQLite file per name under $MEMO_HOME/kb/.; MEMO_HOME: Base directory for knowledge bases and settings (default ~/.memo-mcp).; MEMO_MODEL: Embedding model id from memo-mcp model ls (default granite-small-r2)..
Check the maintainer’s instructions for account access, authentication and the supported client configuration. Once connected, inspect the tools your client receives and try a small task that matches the server’s stated purpose. The registry description does not include a verified, complete tool list.
View the publisher’s registry entry · Project repository · Project website. This profile uses version 1.4.6 from the registry. Registration identifies the publisher namespace; it does not establish that this is a first-party integration for every service it connects.
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| Variable | Description | Required |
|---|---|---|
| MEMO_KB | Name of the knowledge base to open; one SQLite file per name under $MEMO_HOME/kb/. | Optional |
| MEMO_HOME | Base directory for knowledge bases and settings (default ~/.memo-mcp). | Optional |
| MEMO_MODEL | Embedding model id from memo-mcp model ls (default granite-small-r2). | Optional |
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