LazyDeskAI: Less Rework, Safer File Organization 🦥

Description and use

LazyDeskAI automates file organization by proposing a plan, allowing review before applying moves, detecting duplicates, and caching analysis for efficiency.

Problem

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

Outcome

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

Workflow

• 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

Evidence

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

Source

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

Source

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

Source