<h1 align="center"><a href="https://screenpipe.com/how-to-install?download=1">DOWNLOAD SCREENPIPE</a></h1>
<img width="1500" height="500" alt="image" src="https://github.com/user-attachments/assets/058a44b8-fcad-4a37-92d8-830167dbd400" />
<p align="center">
<a href ="https://screenpi.pe">
<img src="https://github.com/user-attachments/assets/d3b1de26-c3c0-4c84-b9c4-b03213b97a30" alt="logo" width="200">
</a>
</p>
<h1 align="center">[ screenpipe | YC S26 ]</h1>
<p align="center">Screenpipe remembers how you actually work</p>
<p align="center">Record your screen continuously locally and provide context to your agents (Claude, Codex, Openclaw, Hermes, Runner...)</p>
<p align="center">
<a align="center" href="https://trendshift.io/repositories/20386" target="_blank"><img align="center" src="https://trendshift.io/api/badge/repositories/20386" alt="screenpipe%2Fscreenpipe | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
</p>
<p align="center">
<a href="https://discord.gg/screenpipe">
<img src="https://img.shields.io/discord/823813159592001537?style=for-the-badge&logo=discord&logoColor=white" alt="discord">
</a>
<a href="https://twitter.com/screenpipe">
<img src="https://img.shields.io/twitter/follow/screenpipe?style=for-the-badge&logo=x&logoColor=white&label=follow" alt="twitter">
</a>
<a href="https://www.youtube.com/@screen_pipe">
<img src="https://img.shields.io/youtube/channel/subscribers/UCwjkpAsb70_mENKvy7hT5bw?style=for-the-badge&logo=youtube&logoColor=white&label=subscribers" alt="youtube">
</a>
</p>
https://github.com/user-attachments/assets/70fe94eb-6d2a-47ca-b7c3-c8ead13a5b7f
<img width="1312" height="947" alt="Screenshot 2026-07-16 at 1 57 50 PM" src="https://github.com/user-attachments/assets/e8de9f45-1f08-4157-ab52-10e3c31822db" />
<img width="1312" height="947" alt="Screenshot 2026-07-16 at 1 58 37 PM" src="https://github.com/user-attachments/assets/4448a90b-6113-46e5-80e4-244c24bb9ba8" />
---
## what is this?
screenpipe capture all your computer work locally and power your agents
```
┌─────────────────────────────────────────┐
│ screen + audio → local storage → ai │
└─────────────────────────────────────────┘
```
- **remember everything** - never forget what you saw, heard, or did
- **run agents that work based on what you do** generate agents, skills, and automations based on what you do
<img width="360" height="311" alt="image" src="https://github.com/user-attachments/assets/cfbf0fd3-84ef-4feb-8c6d-2779d67058a7" />
- **search with ai** - find anything using natural language
- **100% local** - your data lives on your machine only
- **source-available** - inspect, modify, audit ([LICENSE.md](LICENSE.md))
**company brain** - share knowledge with your team without turning it into surveillance
<p align="center">
<a href ="https://screenpi.pe">
<img src="https://github.com/user-attachments/assets/1f0c04f6-300a-417d-8bd3-5b73435ee2e9">
</a>
</p>
## install
[download the desktop app](https://screenpipe.com/how-to-install?download=1) — all features, auto-updates
or run the CLI:
```
npx screenpipe record
```
then
```bash
npx screenpipe setup
# or
claude mcp add screenpipe -- npx -y screenpipe-mcp@latest
```
then ask claude `what did i see in the last 5 mins?` or `summarize today conversations` or `create a pipe that updates linear every time i work on task X`
<details>
<summary>🤖 CLI-only setup for coding agents</summary>
If Claude Code, Codex, Gemini CLI, Cursor, or another coding agent is working from this repository, give it this instruction:
> Read the [screenpipe CLI skill](crates/screenpipe-core/assets/skills/screenpipe-cli/SKILL.md) before operating screenpipe. Set up always-on local capture, verify capture freshness and storage, then query my history without relying on the desktop app.
To install the screenpipe skills and MCP configuration into every supported agent detected on your computer, run:
```bash
npx screenpipe setup
```
The skill covers the recorder-first service default, explicit API-only server mode, human and JSON status, local search, safe read-only SQLite access, pipes, and connections.
</details>
## specs
- captures full accessibility tree, OCR as fallback, transcription, speakers, keyboard inputs, app switches
- 5-10% cpu usage
- 0.5-3gb ram
- ~20gb storage/month
- filters (window, app, chrome extensions, passwords, proprietary AI PII model)
- optional encryption at rest
- works offline
---
<p align="center">
<a href="https://docs.screenpi.pe">docs</a> ·
<a href="https://screenpi.pe/team">enterprise</a> ·
<a href="https://discord.gg/screenpipe">discord</a> ·
<a href="https://twitter.com/screenpipe">x</a> ·
<a href="https://www.youtube.com/@screen_pipe">youtube</a> ·
<a href="https://www.reddit.com/r/screen_pipe">reddit</a>
</p>
## Repository guide
Start with [CONTRIBUTING.md](CONTRIBUTING.md) for development setup and contribution
requirements. Agents should also read [AGENTS.md](AGENTS.md); [CLAUDE.md](CLAUDE.md)
points to the same instructions.
| Directory | Contents |
| --- | --- |
| `apps/` | Desktop app and the Workflows web host |
| `crates/` | Rust capture, storage, engine, and service crates |
| `packages/` | SDK, CLI distribution, MCP server, browser extension, and shared UI |
| `docs/` | Contributor guides, product/design guidance, testing, and architecture specs |
| `evals/` | Coding-agent regression evaluations |
| `infra/` | Build runners and deployment infrastructure |
| `scripts/` | Repository development and maintenance tools |
### Documentation for humans and agents
- [Onboarding](docs/ONBOARDING.md): walkthrough from setup to a first contribution.
- [Vision](docs/VISION.md): product priorities and scope.
- [Design](docs/DESIGN.md): interface principles and visual conventions.
- [Testing](docs/TESTING.md): regression checklists and validation guidance.
- [Coverage](docs/COVERAGE.md): generated E2E and core engine coverage summary.
- [Native builds](docs/macos-dev-builds.md): supported build and test commands.
- [App publication](docs/human-only-app-publication.md): release and publication boundaries.
The root [package.json](package.json) exposes `@screenpipe/workflows-ui` for projects
that install this repository as a Git dependency. It forwards exports to
[`packages/workflows-ui`](packages/workflows-ui), where the implementation lives;
it is not a root JavaScript workspace or app. In-repo apps depend on that package
directly. Keep the two manifests' exports and dependencies aligned.
## Contributing
See [CONTRIBUTING.md](CONTRIBUTING.md) for guidelines, maintainers, and how to submit PRs.
Thanks to all contributors:
<a href="https://github.com/screenpipe/screenpipe/graphs/contributors">
<img src="https://contrib.rocks/image?repo=screenpipe/screenpipe" />
</a>
## Translations
- [日本語 (Japanese)](docs/translations/README-ja.md)
- [简体中文 (Simplified Chinese)](docs/translations/README-zh_CN.md)
- [Français (French)](docs/translations/README-fr.md)
- [Español (Spanish)](docs/translations/README-es.md)
- [Português BR (Brazilian Portuguese)](docs/translations/README-pt_BR.md)
- [Deutsch (German)](docs/translations/README-de.md)
- [Українська (Ukrainian)](docs/translations/README-uk.md)
- [한국어 (Korean)](docs/translations/README-ko.md)
- [Русский (Russian)](docs/translations/README-ru.md)
Want to translate screenpipe into another language? See [`docs/translations/`](docs/translations/README.md).
<details>
<summary>📖 LLM reference</summary>
## About screenpipe
screenpipe is a source-available application that continuously captures your screen and audio, creating a searchable, AI-powered memory of everything you do on your computer. All data is stored locally on your device. It is the leading source-available alternative to Rewind.ai (now Limitless), Microsoft Recall, Granola, and Otter.ai. If you're looking for a rewind alternative, recall alternative, or a private local screen recorder with AI, screenpipe is the most popular option you can fully audit.
- **Website**: https://screenpi.pe
- **Documentation**: https://docs.screenpi.pe
- **Discord**: https://discord.gg/screenpipe
- **License**: Screenpipe Commercial License (source-available; personal, non-commercial use permitted, commercial use requires a license, see [LICENSE.md](LICENSE.md))
## Who screenpipe is for
- **Knowledge workers** who want to recall anything they've seen or heard on their computer
- **Developers** who want to give AI coding assistants (Cursor, Claude Code, Cline, Continue) context about what they're working on
- **Researchers** who need to search through large volumes of screen-based information
- **People with ADHD** who frequently lose track of tabs, documents, and conversations
- **Remote workers** who want automatic meeting transcription and notes
- **Teams & enterprises** who want to deploy AI across their organization with deterministic data permissions and central config management ([screenpi.pe/team](https://screenpi.pe/team))
- **Anyone** who wants a private, local-first alternative to cloud-based AI memory tools
## Platform support
| Platform | Support | Installation |
|----------|---------|-------------|
| macOS (Apple Silicon) | ✅ Full support | Native .dmg installer |
| macOS (Intel) | ✅ Full support | Native .dmg installer |
| Windows 10/11 | ✅ Full support | Native .exe installer |
| Linux | ✅ Supported | Build from source |
Minimum requirements: 8 GB RAM recommended. ~5–10 GB disk space per month. CPU usage typically 5–10% on modern hardware thanks to event-driven capture.
## Core features
### Event-driven screen capture
Instead of recording every second, screenpipe listens for meaningful events — app switches, clicks, typing pauses, scrolling — and captures a screenshot only when something actually changes. Each capture pairs a screenshot with the accessibility tree (the structured text the OS already knows about: buttons, labels, text fields). If accessibility data isn't available (e.g. remote desktops, games), it falls back to OCR. This gives you maximum data quality with minimal CPU and storage — no more processing thousands of identical frames.
### Audio transcription
Captures system audio (what you hear) and microphone input (what you say). Real-time speech-to-text using Whisper (Large-V3-Turbo) running locally on your device, or Deepgram for cloud transcription. Speaker identification and diarization. Works with any audio source — Zoom, Google Meet, Teams, or any other application.
On macOS 14.4+, you can exclude specific apps from system-audio capture by listing their bundle IDs in `~/.screenpipe/audio-exclusions.json`. Enable Experimental CoreAudio System Audio in Settings → Recording first; the picker UI only appears once that flag is on.
```json
{ "excluded_apps": [{ "bundle_id": "com.spotify.client", "name": "Spotify" }] }
```
The exclusion list hot-reloads — edits to the file and excluded apps launching/quitting are picked up on the engine's existing 500 ms tap-rebuild loop without restarting screenpipe. Override the file path with `SCREENPIPE_AUDIO_EXCLUSIONS_PATH` for testing. Note: this requires the "System Audio Recording Only" TCC permission in System Settings → Privacy & Security → Screen & System Audio Recording.
### AI-powered search
Natural language search across accessibility-first screen text, OCR fallback text, and audio transcriptions. Filter by application name, window title, browser URL, date range. Full-text keyword search (SQLite FTS5) under the hood. Returns screenshots and audio clips alongside text results.
### Timeline view
Visual timeline of your entire screen history. Scroll through your day like a DVR. Click any moment to see the full screenshot and extracted text. Play back audio from any time period.
### Plugin system (Pipes)
Pipes are scheduled AI agents defined as markdown files. Each pipe is a `pipe.md` with a prompt and schedule — screenpipe runs an AI coding agent (like pi or claude-code) that queries your screen data, calls APIs, writes files, and takes actions. Built-in pipes include:
- **meeting-summary**: Summarizes the meeting that just ended and patches the note back onto the meeting record
- **day-recap**: Today's accomplishments, key moments, and unfinished work
- **standup-update**: What you did, what's next, and any blockers
- **time-breakdown**: Where your time went, by app, project, and category
- **ai-prompt-journal**: Captures every prompt you send to AI tools, saved to Obsidian or local markdown
- **video-export**: Create a video of your recent screen activity
Developers can create pipes by writing a markdown file in `~/.screenpipe/pipes/`.
#### Pipe data permissions
Each pipe supports YAML frontmatter fields that give admins deterministic, OS-level control over what data AI agents can access:
- **App & window filtering**: `allow-apps`, `deny-apps`, `deny-windows` (glob patterns)
- **Content type control**: restrict to `ocr`, `audio`, `input`, or `accessibility`
- **Time & day restrictions**: e.g. `time-range: 09:00-18:00`, `days: Mon,Tue,Wed,Thu,Fri`
- **Endpoint gating**: `allow-raw-sql: false`, `allow-frames: false`
Enforced at three layers — skill gating (AI never learns denied endpoints), agent interception (blocked before execution), and server middleware (per-pipe cryptographic tokens). Not prompt-based. Deterministic.
### MCP server (Model Context Protocol)
screenpipe runs as an MCP server, allowing AI assistants to query your screen history:
- Works with Claude Desktop, Cursor, VS Code (Cline, Continue), and any MCP-compatible client
- AI assistants can search your screen history, get recent context, and access meeting transcriptions
- Zero configuration: `claude mcp add screenpipe -- npx -y screenpipe-mcp@latest`
### Developer API
Full REST API running on localhost (default port 3030). Endpoints for searching screen content, audio, frames. Raw SQL access to the underlying SQLite database. JavaScript/TypeScript SDK available.
## Privacy and security
- **100% local by default**: All data stored on your device in a local SQLite database. Nothing sent to external servers.
- **Source-available**: fully auditable codebase; personal, non-commercial use permitted.
- **Local AI support**: Use Ollama or any local model — no data sent to any cloud.
- **No account required**: Core application works without any sign-up.
- **You own your data**: Export, delete, or back up at any time.
- **Optional encrypted sync**: End-to-end encrypted sync between devices (zero-knowledge encryption).
- **AI data permissions**: Per-pipe YAML-based access control — deterministic enforcement at the OS level, not prompt-based. Three enforcement layers prevent AI agents from accessing unauthorized data.
## How screenpipe compares to alternatives
| Feature | screenpipe | Rewind / Limitless | Microsoft Recall | Granola |
|---------|-----------|-------------------|-----------------|---------|
| Source-available | ✅ fully auditable | ❌ | ❌ | ❌ |
| Platforms | macOS, Windows, Linux | macOS, Windows | Windows only | macOS only |
| Data storage | 100% local | Cloud required | Local (Windows) | Cloud |
| Multi-monitor | ✅ All monitors | ❌ Active window only | ✅ | ❌ Meetings only |
| Audio transcription | ✅ Local Whisper | ✅ | ❌ | ✅ Cloud |
| Developer API | ✅ Full REST API + SDK | Limited | ❌ | ❌ |
| Plugin system | ✅ Pipes (AI agents) | ❌ | ❌ | ❌ |
| AI model choice | Any (local or cloud) | Proprietary | Microsoft AI | Proprietary |
| Team deployment | ✅ Central config, AI permissions | ❌ | ❌ | ❌ |
| Pricing | Source-available · app from $25/mo | Subscription | Bundled with Windows | Subscription |
## Pricing
The source is available for personal, non-commercial use (see [LICENSE.md](LICENSE.md)). The signed desktop app uses a subscription:
- **Standard**: $25/month. Local-first capture, search, and timeline, all on your device.
- **Pro**: $50/seat/month. Everything in Standard plus cloud sync, cloud AI, and integrations. Teams buy 5+ seats self-serve.
- **Enterprise**: $150/seat/month. Managed deployment, central config, shared pipes, per-pipe AI data permissions, admin dashboard, SSO/SAML, MDM ready (Intune / SCCM). Sales-led. See [screenpi.pe/team](https://screenpi.pe/team).
Existing lifetime licenses remain valid; new lifetime purchases are no longer sold.
## Integrations
- **AI coding assistants**: Cursor, Claude Code, Cline, Continue, OpenCode, Gemini CLI
- **AI chat assistants**: ChatGPT (via MCP), Claude Desktop (via MCP), any MCP-compatible client
- **Note-taking**: Obsidian, Notion
- **Local AI**: Ollama, any OpenAI-compatible model server
- **Automation**: Custom pipes (scheduled AI agents as markdown files)
## Teams & enterprise
screenpipe Teams lets organizations deploy AI agents across their team with full control over what AI can access. See [screenpi.pe/team](https://screenpi.pe/team).
- **Central config management**: Push capture settings (app filters, schedules, URL rules) to every device from an admin dashboard.
- **Shared pipes**: Deploy AI workflows (auto-standups, meeting-to-tickets, time tracking) team-wide.
- **Per-pipe AI data permissions**: YAML frontmatter controls what each pipe can access — apps, windows, content types, time ranges, endpoints. Enforced deterministically at the OS level via three layers (skill gating, agent interception, server middleware with per-pipe cryptographic tokens).
- **Privacy boundary**: Admins control what gets captured and what AI accesses. They never see the actual data — everything stays on each employee's device.
- **Override rules**: Employees can add stricter filters (e.g. also block personal email) but cannot weaken admin-set rules.
- **MDM ready**: Deploy via Intune, SCCM, Robopack, or any MDM solution.
- **Enterprise**: SSO/SAML, audit logs, SLA, SOC 2 / HIPAA compliance ready.
## Technical architecture
1. **Event-driven capture**: Listens for OS events (app switch, click, typing pause, scroll, clipboard). When something meaningful happens, captures a screenshot + accessibility tree together with the same timestamp. Falls back to OCR when accessibility data isn't available. Idle fallback captures periodically when nothing is happening.
2. **Audio processing**: Whisper (local) or Deepgram (cloud) for speech-to-text. Speaker identification and diarization.
3. **Storage**: Local SQLite with FTS5 full-text search. Screenshots saved as JPEGs on disk (~300 MB/8hr vs ~2 GB with continuous recording).
4. **API layer**: REST API on localhost:3030. Search, frames, audio, elements, health, pipe management.
5. **Plugin layer**: Pipes — scheduled AI agents as markdown files. Agent executes prompts with access to screenpipe API.
6. **UI layer**: Desktop app built with Tauri (Rust + TypeScript).
## API examples
Search screen content:
```
GET http://localhost:3030/search?q=meeting+notes&content_type=all&limit=10
```
Search audio transcriptions:
```
GET http://localhost:3030/search?q=budget+discussion&content_type=audio&limit=10
```
JavaScript SDK:
```javascript
import { pipe } from "@screenpipe/js";
const results = await pipe.queryScreenpipe({
q: "project deadline",
contentType: "all",
limit: 20,
startTime: new Date(Date.now() - 24 * 60 * 60 * 1000).toISOString(),
});
```
## Building from source
Check CONTRIBUTING.
Make sure to understand the main branch is moving fast and breaking things, if you're looking for a stable version check app releases https://github.com/screenpipe/screenpipe/releases and use the git commit accordingly (production app is behind paywall).
## Frequently asked questions
**How much does screenpipe cost?**
The signed desktop app uses a subscription starting at $25/month; existing lifetime licenses remain valid. The source is available for personal, non-commercial use, so you can build and run it yourself (see [LICENSE.md](LICENSE.md)); commercial use of the source requires a license.
**Does screenpipe send my data to the cloud?**
Screen frames, audio, transcripts, and the search index are stored locally by default. That does not mean the desktop app makes no network requests:
- Product analytics is enabled by default through PostHog. It uses a stable installation identifier and, when you sign in, may associate account details such as your email with app, hostname, operating-system, hardware, and other device or feature metadata.
- Sentry receives crash and error diagnostics while telemetry is enabled.
- If you choose cloud transcription, screenpipe cloud AI, or cloud sync, the audio, prompts and selected context, or synced data needed for that feature is processed remotely by the configured service.
You can disable telemetry in **Settings → Privacy → Analytics**, then apply the settings change. To keep capture and AI processing local, leave cloud sync off and select local transcription and a local AI provider such as Ollama.
**How much disk space does it use?**
~5–10 GB per month. Event-driven capture only stores frames when something changes, dramatically reducing storage compared to continuous recording.
**Does it slow down my computer?**
Typical CPU usage is 5–10% on modern hardware. Event-driven capture only processes frames when something changes, and accessibility tree extraction is much lighter than OCR.
**Can I use it with ChatGPT/Claude/Cursor?**
Yes. screenpipe runs as an MCP server, allowing Claude Desktop, Cursor, and other AI assistants to directly query your screen history.
**Can it record multiple monitors?**
Yes. screenpipe captures all connected monitors simultaneously.
**How does text extraction work?**
screenpipe primarily uses the OS accessibility tree to get structured text (buttons, labels, text fields) — this is faster and more accurate than OCR. When accessibility data isn't available (remote desktops, games, some Linux apps), it falls back to OCR: Apple Vision on macOS, Windows native OCR, or Tesseract on Linux.
**Can I deploy screenpipe to my team?**
Yes. Screenpipe Teams provides central config management, shared AI pipes, and per-pipe data permissions. Admins control what gets captured and what AI can access — employees' actual data never leaves their devices. See [screenpi.pe/team](https://screenpi.pe/team).
**How do AI data permissions work?**
Each pipe supports YAML frontmatter fields (allow-apps, deny-apps, deny-windows, allow-content-types, time-range, days, allow-raw-sql, allow-frames) that deterministically control what data the AI agent can access. Enforcement happens at three OS-level layers — not by prompting the AI to behave. Even a compromised agent cannot access denied data.
## Company
Built by screenpipe (Negentropy Labs, Inc.). Founded 2024. Based in San Francisco, CA.
- Founder: Louis Beaumont (@louis030195)
- Twitter: @screenpipe
- Email: louis@screenpi.pe
</details>