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QuietQueue groups small chores into time-boxed plans using an on-device open-weight model

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QuietQueue is a new open-source, browser-based app that turns a list of scattered to-do items into a short session of related tasks within a chosen time budget and energy level. An optional on-device AI, built on the open-weight MiniLM sentence-embedding model via Transformers.js, groups tasks by meaning, while a deterministic planner enforces the time and energy limits. The app does not send messages, book anything, or carry out the tasks themselves, and task text stays on the user's device. The project was built for a Hacktoberfest challenge and its code is MIT-licensed, with dependencies and model weights retaining their own licenses. The developer notes that the implementation and tests were produced by an autonomous AI assistant, and that the app has limitations, including unencrypted local storage.

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