LazyDeskAI: Less Rework, Safer File Organization 🦥

说明与用途

LazyDeskAI通过提出文件组织计划，让用户在执行前进行审核，检测重复文件，并缓存分析结果以提高效率。

问题

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

结果

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

工作流

• 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

证据

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

来源

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

来源

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

来源