On Launch Llama
screenpipe
For knowledge workers: screenpipe records your screen, audio, and activity locally so AI agents access your work history through MCP and answer questions without reconstructing your day.
Built by Ezra Ellette, louis030195, and Taka
Freemium
Visit website → Upvotes · 130
screenpipe is a Product Hunt listing on Launch Llama with 130 total upvotes, founded by Ezra Ellette, louis030195, and Taka who joined in Aug 2026, compared against 6 alternatives.
Product Hunt listing
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130upvotes
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Ezra Ellette, louis030195, and Taka (Joined Aug 2026)
Founder
Compared against 6 alternatives
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Key Features
- Capture screen, audio, apps, and meetings locally
- Search work history across apps and conversations
- Connect to Claude, Codex, and other agents through MCP and API
- Exclude sensitive apps, windows, and URLs before storage
- Run scheduled workflows grounded in captured work context
About
screenpipe records screen, audio, and activity on your computer so AI agents can access your work history as context. It runs locally on macOS, Windows, and Linux, with a local API and MCP server for connecting agents. Raw history stays local by default, letting you search your work and use it with Claude, Codex, and other AI tools.
Use Cases
- Founders and sales people who want to ask AI what happened in meetings and calls
- Teams that need to draft summaries, follow-ups, and automations from daily work
- Developers evaluating computer-use agents with captured work activity
Pricing
screenpipe offers a free plan plus paid tiers. See the website for current pricing.
FAQ
What is screenpipe?
screenpipe records screen activity and audio so your AI can use your work history as context. It runs on macOS, Windows, and Linux, with a local API and MCP server for connecting your agents.
What will screenpipe actually remember?
screenpipe builds a timestamped, searchable history from on-screen text, app and window context, screen images, system audio, and microphone audio you choose to capture. Use it to find something you saw, reconstruct a day, recover a decision, or draft a follow-up. It cannot recall a period that was not successfully captured.
Do my screen recordings and audio leave my computer?
By default, capture, transcripts, and the search index stay on your device. Data leaves only when a feature you enable needs it, for example cloud AI, cloud sync, an export, a connector, or a team workflow. Each integration has its own destination: local-first does not mean every optional feature runs locally.
Can I exclude sensitive apps, windows, or hours?
Yes. You can pause recording, use recording schedules, include or ignore apps and windows, ignore URLs, and set automatic retention. Privacy filters can redact sensitive text before it is stored, and DRM-protected content pauses capture by default. Review these settings before recording confidential work.
What should I expect from CPU, battery, and storage use?
Any always-on capture uses CPU, battery, and disk. The load depends on your displays, capture quality, audio sources, and local transcription settings. screenpipe uses accessibility events, GPU capture, power tiers, compression, and retention controls to reduce that cost, but it is not zero. If the timeline has gaps, fix capture first. An AI summary cannot recover missing data.
Where can I run it, and can I inspect the code?
screenpipe runs on macOS, Windows, and Linux. Its capture engine is public and source-available under the Screenpipe Commercial License, so you can inspect the code that handles your data, build it yourself, or run the CLI headless.
How much does screenpipe cost?
There is a free tier for trying local capture, AI search, and meeting notes. Paid plans add more history, AI usage, model choices, sync, and team controls. Check the pricing page for the current price, trial, limits, amount due today, and renewal terms before checkout; existing lifetime licenses keep working.
What should I do first after installing?
First, confirm that the timeline contains recent screen and audio history. Then retrieve one specific fact from the last hour, such as “what did I decide about the launch, and where did I say it?” Only connect a note, CRM, or other destination after that result is useful. This catches permission, capture, transcription, and search problems before they become unreliable automation.
Can Claude, Codex, or my own agent use this history?
Yes. MCP-compatible agents can query screenpipe, and developers can use the local REST API, SDK, CLI, or SQLite database. A connected agent gets the context it requests and your settings permit; screenpipe does not automatically send your entire archive with every prompt.
Can screenpipe turn repeated work into follow-ups or SOPs?
Yes. screenpipe can draft a meeting follow-up, daily or weekly review, or SOP from captured work. Review the results before running the task on a schedule or trigger. Keep external writes and sends behind approval until you are confident in the output.
Alternatives
- LUCI Desktop
Let your AI agents remember what you've seen
- Dayflow
For professionals: Dayflow auto-journals your workday from screen data so you prove accomplishments in standups, 1:1s, and performance reviews.
- PIP
AI buddy on your computer
- ScreenDub
For product teams: ScreenDub turns screen recordings into narrated videos and guides in 70+ languages so you ship demos without reshooting.
- Caddi
For operations teams: Caddi learns your back-office process from one screen recording, then builds and runs the automation across your real tools so you stop doing repetitive work.
- Screend
For content creators: Screend is a Chrome extension that records your screen with webcam overlay and drawing tools for tutorials and demos.
Ask AI
ChatGPT Claude Perplexity Grok
For agents
llms.txt · llms-full.txt · ai.txt · Live fact sheet · Full catalog (.md) · Endpoint index · API spec · REST access · Agent server · Server manifest · Server discovery