I Built slothd: A Local-First, Offline-Capable AI Daemon That Patiently Organizes Your Messy Workspace

说明与用途

slothd 使用两阶段过滤器（TabPFN 快速元数据筛选 + 本地 Gemma 3 视觉）自动整理本地文件，所有操作均在离线环境下完成，并可通过 SQLite WAL 进行回滚。

问题

Users spend time manually organizing cryptic, cluttered files on their local machines, risking privacy by uploading to cloud AI services.

结果

Within a second, 10 files were scanned, 2 clutter anomalies flagged, 1 duplicate set detected, and no cloud API calls were made, demonstrating 100% air‑gapped operation.

工作流

• Detect idle state via OS APIs
• Scan filesystem
• Fast metadata triage with TabPFN
• Local Gemma 3 vision/text comprehension via Ollama
• Generate organization plan
• Show dry‑run preview
• User approves moves
• Log moves to SQLite WAL
• Index files in Tiger Data pgvector (or local SQLite)
• Provide semantic search UI
• Enable 1‑click rollback

证据

The entire core workflow—idle detection, filesystem scanning, tabular metadata triage, Gemma 3 document understanding via local Ollama, SQLite WAL manifests, and 1‑click rollback—executes 100% locally on your machine with zero internet calls.

来源

In under a second, you will observe the verified metrics: 10 files scanned, 2 clutter anomalies flagged in 1 ms, 1 exact duplicate set detected via SHA‑256, 0 cloud API calls required (100% air‑gapped isolation).

来源