SlothSort: Slow & Steady Autonomous Local AI Desktop Tidier

Описание и применение

SlothSort — автономный локальный органайзер файлов и голосовых заметок, использующий открытые модели Whisper и SmolLM2. Он автоматически транскрибирует аудио, классифицирует документы, переименовывает файлы в snake_case и генерирует утренний аудио‑обзор, при этом не отправляя данные в облако.

Задача

Developers spend hours sorting chaotic downloads, listening to long voice memos, and renaming cryptic files, while cloud AI tools require subscriptions and expose private data.

Результат

In a test run, SlothSort avoided 35–45 minutes of manual sorting, produced transcripts in seconds, and required only one click to initiate the process, achieving 100% energy conservation for the user.

Рабочий процесс

• Drop cluttered files into a folder or use the Lazy Sandbox
• Click "Hibernate & Sort (Lazy Mode)"
• Local Whisper transcribes audio files
• SmolLM2‑360M‑Instruct parses documents and code, categorizes files, and generates snake_case names
• pyttsx3 creates a spoken morning digest
• Rollback history records each transaction for 1‑click undo

Доказательства

SlothSort is an autonomous desktop and voice note organizer powered entirely by open‑weight and open‑source AI models running locally on your machine.

Источник

During testing this week, I dumped a cluttered directory containing messy receipts, raw group chat exports, python benchmark scripts, and voice memos: Manual Sorting Time Avoided: ~35 to 45 minutes of dragging, reading, listening, and renaming files.

Источник

Runs 100% offline with CUDA acceleration on an NVIDIA RTX 3050 Laptop GPU (or CPU) taking under 1.8 GB VRAM.

Источник