How I Built SlothFlow: A Local-First AI File Organizer That Cleans Your Mess While You Relax

说明与用途

SlothFlow 是一个本地 AI 文件整理器，自动对文件进行分类、重命名和移动，所有数据保留在本地，并提供安全撤销功能。

问题

Users struggle with disorganized local folders containing PDFs, text, markdown, and other documents, leading to tedious manual renaming and filing, while cloud‑based AI organizers pose privacy risks and subscription costs.

结果

SlothFlow achieves local‑first AI file organization, eliminating manual effort, preserving privacy, and providing undo capability, all on standard developer laptops without GPU clusters.

工作流

• Select a folder or load demo files
• Text extraction via PyMuPDF
• Model inference with local Ollama (Qwen2.5‑1.5B, Gemma 2‑2B, or Llama 3.2‑1B) to produce structured JSON
• Generate organization plan with suggested filenames and target folders
• Preview plan in interactive table (optional inline rename and approval)
• Execute atomic file moves with collision avoidance
• Log actions in SQLite audit trail
• Provide safe undo option

证据

SlothFlow is a local-first web application powered by open-weight AI models (Qwen2.5‑1.5B, Gemma 2‑2B, or Llama 3.2‑1B) running on localhost via Ollama.

来源

It inspects documents on your machine, determines their categorization, generates human-readable filenames, and safely organizes them into clean category folders— all while ensuring zero document bytes ever leave your laptop.

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Safe Atomic Move & SQLite Audit Log (Instant 1-Click Safe Undo)

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