▲ 7 r/electronjs
Building an experimental AI-native browser with Electron + native OS integrations — looking for architecture feedback
https://reddit.com/link/1tgkgny/video/umcnoomjlw1h1/player
Built an experimental open-source AI browser/desktop assistant with Electron + native integrations and wanted to share some architecture decisions + get feedback from people more experienced with Electron.
Project started as a simple AI sidebar, but slowly evolved into a browser with:
- native Swift bridges on macOS
- Windows automation integrations
- Linux desktop hooks
- OCR/screenshot-based page understanding
- local + cloud LLM support
- deep-link automation system
One thing I spent a lot of time on recently was reducing resource usage and moving more things into lightweight/native modules where possible.
A few things I learned while building:
- Electron becomes much more manageable when BrowserViews are virtualized aggressively
- native bridges help a lot for OS-level UX
- keeping automation secure is harder than building the automation itself
- AI agents break in surprisingly weird edge cases
- packaging/signing across platforms is painful 😭
Still lots of bugs and unfinished parts, especially around Apple integrations, but the project has been a massive learning experience.
Would genuinely appreciate feedback from Electron devs on:
- performance architecture
- native module strategy
- security model for automation
- reducing idle memory further
- cross-platform release workflows
u/Deep-Traffic1449 — 6 days ago