Support
Questions can be sent to support@screenpi.pe. The site also carries an FAQ covering capture, privacy, resource use, agents and team deployment.
Turn your screen and audio history into context any AI agent can use
screenpipe is an AI screen analyzer tool that turns your screen and audio history into context any AI agent can use. Screenpipe records screen, audio and app activity locally and exposes it through a local database, REST API and MCP server so AI agents can search your work history, reconstruct past moments and spot recurring workflows worth automating.
Screenpipe is a desktop application that continuously records screen activity, audio and app history on your own machine, then exposes that record so AI models and agents can search it and reason over it. The premise is simple: most of the context a model needs already exists in the work you did today, in the documents you opened, the meetings you sat through and the tabs you closed. Screenpipe keeps that raw history local by default and makes it queryable instead of leaving it scattered across apps. The capture layer combines accessibility data with screen frames and OCR fallback, so text is picked up even when applications do not expose it directly, and audio transcripts cover the moments where nothing was typed. A local database, a REST API and an MCP server sit on top, which means Claude, ChatGPT, Codex or a custom agent can pull from the same store. Because the history is portable and inspectable, it is not tied to a single model or vendor. The more distinctive use is workflow discovery. Screenpipe reviews recurring routines across your apps, lays out the steps and exceptions behind a repeated process, and links every step back to source evidence. A supplier invoice reconciliation, for example, surfaces as a sequence with the invoice email, matching check and tracker update shown side by side, with a suggested automation to review. You decide what gets automated, and approval steps can deliberately stay manual. Exclusions for apps, windows and URLs plus on-device redaction keep sensitive material out of storage before it lands. It suits operations staff, consultants, analysts and developers who lose time reconstructing what happened and who want their agents grounded in real evidence rather than memory. Meetings recording is one output, not the core product. Teams that need device management, identity and audit trails can push policy from a central workspace while raw history stays on each machine. Free downloading is offered; specific plan pricing is not published on the homepage, so check the site for current terms.
Questions can be sent to support@screenpi.pe. The site also carries an FAQ covering capture, privacy, resource use, agents and team deployment.
The homepage shows the local database, REST API and MCP server as the integration paths, and lists Slack, Microsoft Teams, Notion, Linear, GitHub, Obsidian and HubSpot among the tools users connect.
Combined screen, audio and app capture with accessibility data, screen frames, OCR fallback and audio transcripts. Local SQLite history exposed via REST API and MCP server. Recall search to jump back to a past screen or conversation. Workflow discovery that maps recurring routines, example runs and exceptions with source evidence. Exclusions for apps, windows and URLs, on-device redaction, and enterprise device, identity, policy and audit management.
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