Give AI memory of your screen

Screenpipe acts as a memory layer for AI — it gives LLMs context about what you’ve been doing on your computer.

Why AI needs memory

LLMs are stateless — they don’t know what you were working on 5 minutes ago. Screenpipe bridges this by:

Capturing everything on your screen 24/7
Extracting app text primarily via accessibility APIs, with OCR fallback for visual-only surfaces
Making it searchable via REST API on localhost:3030

Connect to AI

MCP (recommended)

Screenpipe has a built-in MCP server that works with Claude Desktop, Cursor, and other MCP-compatible tools:

{
  "mcpServers": {
    "screenpipe": {
      "command": "npx",
      "args": ["-y", "screenpipe-mcp"]
    }
  }
}

Or run npx -y screenpipe@latest agent setup <target> (claude-desktop, cursor, claude-code, codex, openclaw, hermes, windsurf) to install the Screenpipe skills and register the MCP server in one command.

See MCP server setup for details.

Scheduled tasks (scheduled agents)

Scheduled tasks are AI agents that run on a schedule and act on your screen data automatically — like syncing to Obsidian, tracking time in Toggl, or sending daily summaries. Spin one up from the CLI — npx -y screenpipe@latest pipe install <url-or-path> && npx -y screenpipe@latest pipe enable <name> (bunx / bun x work too) — or ask any connected agent to build one for you.

Direct API

Any tool that can make HTTP requests can query Screenpipe:

# get recent screen activity
curl "http://localhost:3030/search?content_type=all&limit=20"

# search for specific content
curl "http://localhost:3030/search?q=meeting+notes&app_name=Slack&limit=10"

The local API needs no auth by default. If you’ve enabled API auth in settings, add -H "Authorization: Bearer <your-api-key>" to these requests.

Use cases

Use case	How
”What was I working on?”	Search by time range
”Summarize today’s meetings”	Query audio transcriptions
”Find that code snippet”	Search screen text
”auto-track my time”	toggl-sync scheduled task
”Sync activity to notes”	obsidian-sync scheduled task

Privacy-first

All data stays on your device
Use local LLMs (Ollama, LMStudio) for complete privacy
Filter what gets captured in Settings → Privacy — ignore or include specific apps, windows, and URLs (privacy filters)
No data sent to cloud unless you explicitly choose cloud providers

Next steps

Build a second brain — let your agent watch your activity and remember your workflows in the background
Set up MCP server — connect to Claude, Cursor
Set up scheduled tasks — scheduled AI agents
API reference — REST API search parameters and endpoints
Join our Discord — get help from the community

Get Screenpipe

Screenpipe gives your AI assistants memory of everything on your screen. Download Screenpipe →

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Resources

Give AI memory of your screen

Why AI needs memory

Connect to AI

MCP (recommended)

Scheduled tasks (scheduled agents)

Direct API

Use cases

Privacy-first

Next steps

Get Screenpipe

​Why AI needs memory

​Connect to AI

​MCP (recommended)

​Scheduled tasks (scheduled agents)

​Direct API

​Use cases

​Privacy-first

​Next steps

​Get Screenpipe

Why AI needs memory

Connect to AI

MCP (recommended)

Scheduled tasks (scheduled agents)

Direct API

Use cases

Privacy-first

Next steps

Get Screenpipe