docs
faq
What's the difference with rewind.ai?

screenpipe is for developers to build apps like rewind.ai.

Where is the data stored?
  • 100% of the data stay local in a SQLite database and mp4/mp3 files. You own your data
Do you encrypt the data?
  • Not yet but we're working on it. We want to provide you the highest level of security.
How can I customize capture settings to reduce storage and energy usage?
  • You can adjust frame rates and resolution in the configuration. Lower values will reduce storage and energy consumption. We're working on making this more user-friendly in future updates.
What are some practical use cases for screenpipe?
  • RAG & question answering
  • Automation (write code somewhere else while watching you coding, write docs, fill your CRM, sync company's knowledge, etc.)
  • Analytics (track human performance, education, become aware of how you can improve, etc.)
  • etc.
  • We're constantly exploring new use cases and welcome community input!
Can I run screenpipe on remote/virtual machines?
  • yes! screenpipe works seamlessly with remote desktop solutions
  • microsoft remote desktop: works out of the box, capturing both screen and audio
  • other remote solutions: generally compatible as long as they support audio/video forwarding
  • check our server setup guide for detailed instructions
How resource-intensive is screenpipe?
  • designed to be lightweight and efficient
  • typical cpu usage: 1-2% on modern machines
  • memory footprint: ~100-200mb baseline
  • storage usage varies based on your capture settings and activity
  • optimized for 24/7 operation
Can I build custom plugins/pipes?
  • yes! screenpipe is designed to be extensible
  • write plugins in typescript + bun
  • full access to captured screen/audio data
  • integrate with any ai model or external service
  • check our plugin development guide for details
Is screenpipe open source?
  • yes! core functionality is open source under MIT license
  • built with rust + tauri for the core
  • plugins system in typescript + bun
  • community contributions welcome
  • find us on github (opens in a new tab)