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Screenpipe gives AI assistants searchable context from the screen text and audio history users choose to capture, supporting recall, work summaries, and workflow automation through its local API and MCP server. Captured history is local by default; configured cloud services and connected assistants can transmit context.
- Founded
- 2024
- Category
- AI
- Funding
- VC-backed
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Founders of Screenpipe
- Louis Beaumont
Investors backing Screenpipe
- Y Combinator
Frequently asked questions
What does Screenpipe do?
Screenpipe gives AI assistants searchable context from the screen text and audio history users choose to capture, supporting recall, work summaries, and workflow automation through its local API and MCP server. Captured history is local by default; configured cloud services and connected assistants can transmit context.
Where is Screenpipe based?
Location for Screenpipe has not been disclosed publicly.
When was Screenpipe founded?
Screenpipe was founded in 2024.
How much has Screenpipe raised?
Screenpipe is vc-backed. Funding details have not been disclosed.
Who founded Screenpipe?
Screenpipe was founded by Louis Beaumont.
Who has invested in Screenpipe?
Screenpipe is backed by Y Combinator.
How Screenpipe would pitch themselves
● Editorial01Target customer
Companies whose work happens on screen — the YC profile lists Screenpipe as B2B, enterprise and SaaS, aimed at teams that want their own computer work turned into agents.
02Problem they solve
Assistants start each task with only the prompt and the apps they are connected to, so the decisions, calls and screens that produced the work are missing. Screenpipe captures the screen text and audio a user opts to record and makes that history searchable.
03Key differentiator
Source-available rather than OSI open source: the code is published under the Screenpipe Commercial License. Capture is local by default and model agnostic, exposed through a local API and an MCP server, so assistants read the context without the history being centralised by default.
04Go-to-market strategy
Bottom-up adoption through the public repository — the YC launch cites 20K+ GitHub stars — converting into paid commercial use, which the license requires for business and production deployments beyond a seven-day evaluation.