SlothDesk: A Lazy, Offline AI That Cleans Your Downloads Folder

Описание и применение

SlothDesk автоматически сортирует и переименовывает файлы в локальной папке, используя небольшую модель LLM, при этом все операции выполняются офлайн и без передачи данных в облако.

Задача

Users have messy download folders with unnamed or poorly named files that are hard to organize manually.

Результат

SlothDesk automatically organizes and renames files in a local folder using a small 3B open‑weight model, keeping all processing offline and private.

Рабочий процесс

• Select folder in Streamlit UI
• Scan folder and extract first 600 characters of supported file types
• Send preview to local Ollama model with Pydantic schema for structured output
• Display dry‑run table with proposed moves, renames, and reasoning
• User reviews and approves plan
• Apply file moves and renames

Доказательства

SlothDesk is a private, local-first AI file organizer. It reads a short text preview of the files in a messy folder...

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Reads the first 600 characters of .pdf, .txt, .md, .csv, .json, and .py files to understand what they actually are

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Sorts each file into one of seven categories: Invoices & Receipts, Work & Documents, Code & Dev, Personal & Identity, Media & Assets, Archives & Installers, or Miscellaneous

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SlothDesk runs locally, so there's no hosted link. You can try it yourself in a few minutes with the steps in the README.

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The whole project is built around open-source tools that run on a normal laptop.

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