> ## Documentation Index
> Fetch the complete documentation index at: https://docs.screenpipe.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Give AI memory of your screen

> Give Claude, Cursor, Ollama, and other LLMs persistent memory of everything on your screen so they can answer questions with full context.

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:

```json theme={"system"}
{
  "mcpServers": {
    "screenpipe": {
      "command": "npx",
      "args": ["-y", "screenpipe-mcp"]
    }
  }
}
```

<Tip>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.</Tip>

See [MCP server setup](/mcp-server) for details.

### Scheduled tasks (scheduled agents)

[Scheduled tasks](/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:

```bash theme={"system"}
# 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"
```

<Note>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.</Note>

## 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](/privacy-filter))
* No data sent to cloud unless you explicitly choose cloud providers

## Next steps

* [Build a second brain](/second-brain) — let your agent watch your activity and remember your workflows in the background
* [Set up MCP server](/mcp-server) — connect to Claude, Cursor
* [Set up scheduled tasks](/scheduled-tasks) — scheduled AI agents
* [API reference](/cli-reference) — REST API search parameters and endpoints
* [Join our Discord](https://discord.gg/screenpipe) — get help from the community

## Get Screenpipe

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

[Download Screenpipe →](https://screenpi.pe/onboarding)


This documentation is built and hosted on [Mintlify](https://mintlify.com), a developer documentation platform.