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Screenpipe

github.comInfrastructure

PulseGate's liveness check found it on 3 Oct 2026; it has been in the index since 29 Aug 2026. How this is checked

Screenpipe is an open-source local computer-history system that continuously records screen activity and makes the resulting context available to AI agents. It provides desktop capture, searchable history, and developer interfaces for building context-aware agent workflows.

Inferred · not functionally tested

Open SourcemacOSWindowsLinuxSelf-hostedAPI
Screenpipe preview
Visit github.com

Overview

6 features

Purpose: Giving AI agents access to a user's locally recorded computer history and context.

Inferred · not functionally tested

Audience: developers building context-aware AI agents

Inferred · not functionally tested

Functions: rag, agents, data_extraction

Inferred · not functionally tested

Interfaces: API: indicated (inferred, not tested) · MCP: indicated (inferred, not tested) · CLI: unknown · Self-hosting: indicated (inferred, not tested)

Recorded constraints: pricing: open_source · license: Open Source · platforms: DESKTOP, API · deployment: macos, windows, linux, self_hosted, api_only

Constraint provenance is unknown; confirm requirements with the publisher.

Record sources: github.com. These links do not verify the individual claims.

In the Memory & skills space, Screenpipe takes a focused approach. Inferred · not functionally tested: It focuses on giving AI agents access to a user's locally recorded computer history and context. Inferred · not functionally tested: It is built as an open-source project for developers building context-aware AI agents. Basis unknown · not verified: Screenpipe is open source under the Open Source license. Basis unknown · not verified: It ships for macOS, Windows, Linux, and API, and it can be self-hosted.

screenpipe builds and maintains Screenpipe. Inferred · not functionally tested: Among its 6 catalogued features are continuous recording, local storage, and screen capture. Inferred · not functionally tested: Catalogued interfaces include a public API and an MCP server.

Summary written by a language model from the project’s public pages.

Tasks: Inferred · not functionally tested

  • Continuous recording
  • Local storage
  • Screen capture
  • Searchable history
  • Agent context
  • API access

Topics: Inferred · not functionally tested

Tags
computer-historyscreen-recordingagent-contextlocal-firstmultimodal-search
AI capabilities
TextImageVideoMultimodal
Inference: Local

JSON profile · Text profile · Access guide

Built with & integrations

AI providers
multipleopenaianthropiclocal_oss
Connectors
APIMCP
Runs on
macOSWindowsLinuxSelf-hostedAPI-only
Detected from
openai
dall- in the HTML
local_oss
bollama in the HTML

Trust & compliance

License
Open Source
Public signals
HTTPSOpen SourceFree tier

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed29 Aug · 03:08 UTC
    screenpipe seen via MCP Registry (official)
    Source: MCP Registry (official) · Open

Frequently asked questions about Screenpipe

What is Screenpipe?
Inferred · not functionally tested: Screenpipe focuses on giving AI agents access to a user's locally recorded computer history and context. It is catalogued under Memory & skills on PulseGate.
Who should use Screenpipe?
Inferred · not functionally tested: Screenpipe is an open-source project built for developers building context-aware AI agents.
Is Screenpipe free?
Basis unknown · not verified: Yes — Screenpipe is open source under the Open Source license and free to use.
What platforms does Screenpipe run on?
Basis unknown · not verified: Screenpipe runs on macOS, Windows, Linux, and API. It can also be self-hosted.
Is Screenpipe still active?
PulseGate's liveness check found it on 3 Oct 2026.
Who develops Screenpipe?
Screenpipe is developed by screenpipe.
Is Screenpipe open source?
Basis unknown · not verified: Yes — Screenpipe is open source under the Open Source license.
Does Screenpipe have an API or integrations?
Inferred · not functionally tested: Yes — Screenpipe exposes a public API and an MCP server.

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