Overnight Sloth: Wake Up to What Matters, Ignore the Noise
说明与用途
Overnight Sloth 是一个本地后台代理,夜间处理导出的聊天记录和邮件,过滤噪音,生成两行摘要,节省用户时间并降低精神负担。
问题
Users waste mental energy scrolling through thousands of unread messages each morning to find actionable items.
结果
Processing a 400-message group chat overnight produced a two-line summary that saved the user 15–20 minutes of reading time and restored calm focus for the day.
工作流
- 1. Export chat logs or email threads to a monitored directory.
- 2. Watchdog script detects new files and triggers processing.
- 3. Noise Filter Agent removes emojis, stickers, and irrelevant banter.
- 4. Executive Summarizer Agent condenses core discussion into two bullets.
- 5. Summary is written to a desktop file for the user to view upon waking.
证据
Every night, it ingests chaotic group chat exports, long email threads, or cluttered message logs, filters out the memes and small talk, and leaves a clean, two-bullet summary waiting on your desktop when you wake up.
Instead of starting your morning scrolling through 300+ unread messages just to see if plans changed or if you were assigned a task, Overnight Sloth does the heavy lifting while you sleep, rewarding your inner sloth with zero-effort morning catch-ups.
Overnight Sloth is built entirely around an open-source, local-first AI stack: LLM Engine: Powered by Ollama, running a quantized Llama-3.1-8B-Instruct model locally on-device.
A background Python script using the watchdog library monitors local export directories overnight, automatically kicking off processing whenever new chat logs are dropped in.
This week, I tested it on a high-activity group chat that accumulated over 400 messages overnight. Instead of spending 15 to 20 minutes reading through banter, I opened my desktop to a precise two-line brief highlighting a single deployment deadline change and one direct question addressed to me.
- 记录日期: 2026-10-26T07:26:13.340Z