clawlet

Clawlet is a personal AI agent that ships as a single, self-contained binary. No runtime, no package manager, no external database. 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

Clawlet is a personal AI agent that ships as a single, self-contained binary. No runtime, no package manager, no external database. 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

Inspired by OpenClaw and Nanobot, I built a lightweight and highly efficient agent framework in Go. While there are other projects that claim high performance, this framework focuses not only on speed but also on richer functionality and practical efficiency. It aims to provide a more complete and streamlined experience without sacrificing performance.