Screenpipe Enables Local Screen Recording with AI Context
The Neuron
Screenpipe records your screen and audio locally, then lets AI agents like Claude use that as memory. It's open-source and never sends raw data off your device, which is the pitch nobody else is really making.
Y Combinator-backed Screenpipe wants to solve a problem most AI tools ignore entirely: your assistant doesn't actually know what you did today. It only knows what you typed into it. Screenpipe fixes that by continuously capturing your screen and audio on-device, then feeding that context to agents like Claude and Codex so they can answer things like "what happened in my 2pm call" or draft a weekly update from meetings that already happened.
The automation layer is where it gets interesting. Users write small markdown files, called pipes, that trigger on events. One example ships by default: when a meeting ends, a local model writes a three-bullet summary, splits out action items per person, and saves the file to a notes folder — no cloud round-trip required. Connections to Gmail, Slack, and HubSpot mean these pipes can push results straight into tools people already use, out of 48 supported integrations the company lists, though only a handful are live in the demo shown.
Privacy is the whole sales pitch here, not an afterthought. Screenpipe built its own detection model specifically to catch credit card numbers, social security numbers, and API keys before anything touches disk, and the company claims it catches more than the built-in filters from OpenAI, Google, or Microsoft. That model runs on the machine's own AI silicon — Apple's Neural Engine or a Windows GPU — so scrubbing happens instantly and doesn't need a subscription. Users can also just exclude entire apps or URLs outright, which get dropped before capture rather than filtered after.
For teams, Screenpipe offers fleet deployment through standard IT tools: MDM push via Intune or SCCM, SSO through SAML, and centralized policy management, all while keeping every recording on the local endpoint. The company's bigger argument is that this turns messy, undocumented daily work into actual SOPs and reusable agents, essentially mining the gap between what employees do and what gets written down. And unlike most "memory" products asking you to trust a black box, Screenpipe backs the privacy claims with an open Rust codebase that's already pulled in more than 19,000 GitHub stars — anyone skeptical can clone it and check.
My take
I'll take a tool that ships its source code over one that just promises to behave, every time — that's the whole open-vs-closed debate in miniature, and Screenpipe picked the right side of it. The bigger tell is that they built their own PII-detection model instead of trusting OpenAI or Microsoft's filters, which quietly admits those filters aren't good enough for anyone who actually cares about privacy. Local-first AI tooling like this is exactly the kind of infrastructure the EU should be championing instead of just regulating.
Read more about this at: The Neuron
