Derek Ross on Nostr: By default, OpenClaw's memory search uses basic text matching. It works, but it ...

By default, OpenClaw's memory search uses basic text matching. It works, but it misses context. Ask your agent a specific question and it might come back empty because the word you used wasn't in the memory files even though the entire conversation is sitting right there in memory.

QMD fixes this. 😂

QMD is essentially a local search engine that combines keyword matching, vector embeddings, and reranking. Your agent will then search beyond keywords and search for meaning too. This search engine is fully local, with no API calls, and no data leaves your machine.

The best part? You don't need to do anything technical. You can just tell your agent: "Switch my memory backend to QMD." It handles the installation and configuration itself.

Boom. Better memory and better retrieval.