Sloth Brief: a local model turns scattered notes into a short restart checklist

Sloth Brief is an open-source tool that condenses a set of accumulated text notes into a brief, source-linked action list. It runs the Qwen2.5-0.5B-Instruct model locally via Hugging Face Transformers, so no paid API or cloud upload of notes is needed. The model writes one concise summary per note, and Python assigns source numbers from the notes actually supplied, though the author warns that summaries still need checking against the originals. Input files are never edited, and the demo of two synthetic notes passes eight automated tests that cover limits and file handling but not model accuracy. The author notes that no productivity gains have been measured, and that the prototype was built with Codex assistance.