LazyDeskAI: Less Rework, Safer File Organization 🦥

Описание и применение

LazyDeskAI автоматизирует организацию файлов, предлагая пользователю предварительный план перемещения, позволяя проверить и откатить изменения, с поддержкой кэширования и локального ИИ.

Задача

Users manually organize a Downloads folder containing mixed file types and duplicates, which is repetitive and error‑prone.

Результат

LazyDeskAI automates file organization by proposing moves based on rules or local AI, allowing review before execution, detecting duplicates, and caching analysis for efficiency.

Рабочий процесс

• Scan folder and analyze files
• Cache analysis results for unchanged files
• Apply deterministic extension rules to suggest destinations
• (Optional) Use local Ollama model for classification
• Detect exact duplicate files
• Present proposed moves to the user for review
• Apply selected moves or undo changes
• Record history for recovery

Доказательства

Instead of immediately rearranging a workspace, it scans files, proposes organization actions, and lets the user review the plan before applying changes.

Источник

Key features include: Incremental processing, Rule-based organization, Optional local AI, Duplicate detection, Review before action, Apply history and Undo, Benchmarking.

Источник

The warm-cache runs recorded 22/22 and 200/200 cache hits, respectively, with zero model requests.

Источник