13 min watch

How AI Agents Search Their Memory

  • memory-systems
  • rag
  • semantic-search
  • vector-embeddings
  • openclaw

In my last video, I covered how AI agents store memory. But storing it is only half the problem. In this one, we dig into how agents retrieve the right memory at the right time.

I cover keyword search, semantic search, hybrid retrieval, and re-ranking, then dig into how OpenClaw implements all of it in practice using SQLite, BM25, and vector embeddings.

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