Sloth Inbox: let a tiny open model sort the notes you keep avoiding

说明与用途

Sloth Inbox 使用开放的 all‑MiniLM‑L6‑v2 嵌入模型，在浏览器中自动将笔记分类到用户定义的文件夹。应用下载模型（约23 MB），生成建议，用户可编辑并导出 Markdown 列表。在12条笔记的测试中，全部正确分类，但4条因相似度低而保留在审核状态。

问题

Organizing loose notes into sensible buckets is tedious.

结果

The app correctly categorized all twelve synthetic notes, automatically assigning eight and leaving four for review due to low similarity scores. Processing time after model loading was 1.24 s.

工作流

• Paste a messy list of notes
• Model downloads (≈23 MB) and runs in a web worker
• App suggests shelves for each note
• User reviews and edits suggestions
• Preview Markdown
• Download or copy the organized list

证据

I built Sloth Inbox to take one small chore off that list: putting loose notes into sensible buckets.

来源

The AI runs in the browser. There is no account, API key, or server waiting to read your notes.

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I tested the deployed example with twelve notes. Its top shelf suggestion matched the intended category for all twelve, but the app assigned only eight automatically.

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The displayed processing time was 1.24 seconds after model loading in that run.

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The core is all-MiniLM-L6-v2, an open embedding model, running with Transformers.js 3.8.1 and WebAssembly.

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