The non-nonsense simple desktop app for Perplexity and Claude AI. It's just work, no magic, no tray, no scripts injected and nothing obfuscated.
- Just works: Open Perplexity or Claude and is just it.
- Multiple AIs: Switch between Perplexity.AI and Claude.AI from the menu (or use
Ctrl+P/Ctrl+L). Your last selection is remembered across sessions. - Persistent window state: If the window is on primary display, stay on primary. If the window is small, stay small. Simple.
- No magical tray: Why still running? Just open when you want and close when you want.
Download the latest releases for Linux, macOS or Windows on releases section.
Download Simplexity from Flathub. Or if you prefer, use the AppImage.
- Download the
AppImagefile in releases section; - Mark file as executable. You can do it by KDE/GNOME interface on file properties, or executing
chmod +x Simplexity*.AppImage; - Run it.

- Download the
DMGfile in releases section; - Drag Simplexity to your Applications folder;
- Try open it, then allow unidentified developer app;
- Run.

- Download the
EXEfile in releases section; - Double click. This is it. No emotion, no challenge, no funny.

- https://www.linuxlinks.com/machine-learning-linux-simplexity-simple-perplexity-ai-desktop-app/
- https://www.edivaldobrito.com.br/como-instalar-o-simplexity-no-linux-via-flatpak/
- https://sempreupdate.com.br/instale-o-simplexity-no-ubuntu-fedora-debian-e-outras-distribuicoes-linux-com-flatpak/
This project is licensed under the BSD3 License.
Note: This application is not affiliated with Perplexity AI or Anthropic (Claude), but is an independent effort to bring them to your desktop.
This application is written in JavaScript (just one source file), using Node 20 and Electron 33. In order to install dependencies, execute:
npm installTo run application, execute:
npm run startTo pack application in AppImage format for Linux, run:
npm run pack-linuxTo pack application in dmg format for macOS, run:
npm run pack-macTo pack application in exe format for Windows, run:
npm run pack-winIf you find this project helpful, consider supporting us. Your contributions help maintain and improve the Simplexity.
We welcome your feedback and suggestions to improve the Simplexity. Please share your thoughts through GitHub issues or contact us directly.

