Show HN: Clawlet – AI agent with built-in semantic memory, one binary(github.com)
github.com
Show HN: Clawlet – AI agent with built-in semantic memory, one binary
https://github.com/mosaxiv/clawlet
1 コメント
Very cool to see a local-first approach to agent memory. The shift away from hosted vector DBs for single-agent use cases makes total sense.
Are you using `sqlite-vec` under the hood for the embeddings or a custom extension? Also, curious how you handle the 'hybrid' search part—is it just a linear combination of FTS5 bm25 and vector cosine similarity, or do you have a re-ranking step?
Are you using `sqlite-vec` under the hood for the embeddings or a custom extension? Also, curious how you handle the 'hybrid' search part—is it just a linear combination of FTS5 bm25 and vector cosine similarity, or do you have a re-ranking step?
The main thing that sets it apart: built-in hybrid semantic memory search (vector similarity + full-text) using a bundled SQLite with vector extensions. The index is just a local .sqlite file — no separate vector DB to run. Drop the binary on any machine and memory search just works.
GitHub: https://github.com/mosaxiv/clawlet