Modern AI agents need persistent, searchable memory to maintain context across conversations and tasks. Inspired by OpenClaw's memory architecture, sqlite-memory implements what we believe will become the de facto standard for AI agent memory systems: markdown files as the source of truth.

In this paradigm:

* Markdown files serve as human-readable, version-controllable knowledge bases

* Embeddings enable semantic understanding and retrieval

* Hybrid search combines the precision of full-text search with the intelligence of vector similarity

sqlite-memory bridges these concepts, allowing any SQLite-powered application to ingest, store, and semantically search over knowledge bases.