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screenpipe

Your computer history. Open to any AI.

Backed by Y CombinatorSource-available / free downloadmacOS · Windows · LinuxLocal-first by defaultMCP + local API
Category
AI agent memory / local-first productivity infrastructure
Business model
Open-core/freemium desktop app. Free local individual use with source-available code; monetization likely through team/enterprise deployment features such as centralized workspace, identity, policy management, storage, and audit trails.
Stage
Early-stage — YC-backed; exact funding, batch, and traction not disclosed
Target audience
Technical early adopters, AI-heavy knowledge workers, founders, consultants, B2B sales teams, and eventually privacy-sensitive mid-market/enterprise IT teams.
Opportunity score
72/100

A high-potential infrastructure play with strong AI tailwinds, but direct entry is technically hard, trust-intensive, and monetization is still unproven.

Founder verdict
MAYBE

Screenpipe is a compelling infrastructure bet for a funded technical team, but it is a risky direct clone for a solo founder.

What is screenpipe?

screenpipe is a local-first AI memory layer that continuously captures screen, audio, and app activity, then exposes that searchable history to AI agents through a local API and MCP server. It positions itself as 'computer history for every AI agent' rather than another meeting recorder, emphasizing privacy, local storage, agent transparency, and model/OS independence. The landing page shows interactive demos of agents using years of personal work context, integrations with tools like Linear, Slack, Notion, and HubSpot, and an enterprise rollout path. Revenue, growth, and GitHub metrics are not publicly disclosed, but the product is YC-backed, source-available, and offered as a free download, suggesting an open-core or freemium business model aimed first at technical early adopters and later at privacy-sensitive teams.

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