Original Summary

I wanted help sorting through Gmail without sending my email content to cloud AI services, so I built a local app for Apple Silicon Macs. It groups similar emails and uses local models to recommend Keep, Cleanup, or Needs Review. You can inspect the results before choosing what to move to Trash—nothing is automatically deleted. It uses Laya for classification, Qwen through Ollama for further review, and optionally Winnow as an alternative classifier. It’s free, open source, and still a public alpha. Setup is from source and requires local model downloads and your own Google Desktop OAuth client. You can start with a read-only test of up to 10 emails. The README walks through setup, and there’s an AGENTS.md guide if you want a coding agent to help. GitHub: https://github.com/karan19/LocalFirstGmailIntelligence Sharing it for anyone who wants to run it, experiment, or look through the code. The recommendations can be wrong, so it’s built around reviewing and confirming actions yourself.   submitted by   /u/karankanchetty [link]   [comments]

  • 情报分类：技术学习与提效
  • 分类依据：内容涉及技术、AI、软件工具或工程实践
  • 信息来源：Reddit · SideProject
  • 发布时间：2026/10/17 13:28:48