Local-first AI agent memory that records screen and audio for recall and automation.
Product memo
Provides AI agents with context from a user's screen, audio, and actions, all processed locally. It prioritizes privacy by keeping sensitive data on-device, allowing AI assistance without cloud exposure. This approach targets engineers, researchers, and teams who need AI context while maintaining strict data security.
For who
Engineers, researchers, and teams needing AI context
Solves what
Provides AI agents with context from user's screen, audio, and actions locally.
- Local-first AI memory
- On-device recording & scrubbing
- Automated workflows (pipes)
In their own words
AI Agent Memory | Local-First & Private
you forget what you did last tuesday - screenpipe doesn't it records your screen and calls on-device, working the second you install it, so you (and your AI) can recall anything, summarize meetings, and automate the busywork. private, local, yours
Commercial cues
Model
free only
Free tier
Yes
Trial
No
Pricing Strategy
Offers a free tier for individual users, with custom pricing available for team deployments. This structure supports broad adoption while scaling for organizational needs.
- • A free tier drives individual adoption by removing cost barriers.
- • Custom team pricing supports enterprise deployment across a company fleet.
- • Local-first processing acts as a key differentiator for B2B privacy-conscious buyers.
Operator context
Operating setup
Founded
Feb 2026
Platform
Desktop
Audience
Developers
Social footprint
Tech stack
Market demand
Screenpi keyword demand
4 keywords
Market demand is Starter-tier market intelligence.
Derived from this product’s latest SimilarWeb keyword mix — directional demand, not proof.
Builder Strategy
- Strategy Type
- Niche Specialist
- Stage
- Vc Growth
- Effort
- Small Team
About Screenpi Expand
Screenpipe offers AI agent memory by capturing user activity directly on-device, including screen and audio recordings. This local-first approach ensures that sensitive data never leaves the user's machine, serving engineers, researchers, and teams who require AI assistance without compromising data security.
It differentiates itself by providing a private, on-device product for recalling past actions, summarizing meetings, and automating workflows. The product's focus on local processing and automated workflow pipes gives users a secure way to use AI for productivity.