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Productivity

Screenpipe

Screenpipe captures screen text and audio locally to create searchable computer history. Users can recall what they saw or heard, find past conversations, and generate meeting notes and work summaries. Its MCP server and local API let compatible AI assistants retrieve this history as context. Raw capture is stored locally by default. Configured cloud AI, transcription, sync, integrations and connected AI clients can transmit context off-device. Screenpipe is source-available under the Screenpipe Commercial License.

Useful for

  • Recall Past Work
  • Find Past Conversations
  • Generate Meeting Notes

Pricing at a glance

Screenpipe pricing & plans

Plans and limits may vary by region and change at checkout. Confirm terms with the provider.

Official pricing ↗

Actual pricing is unavailable or has not been verified.

⚡ What it helps with

Why teams use Screenpipe for Productivity AI tools

Screenpipe captures screen text and audio locally to create searchable computer history. It is designed for people who want to recall what they saw or heard, find past conversations, and generate meeting notes and work summaries.

Its MCP server and local API let compatible AI assistants retrieve this history as context. Raw capture is stored locally by default, while configured cloud AI, transcription, sync, integrations, and connected AI clients can transmit context off-device. Review those settings carefully when handling sensitive information.

Screenpipe is source-available under the Screenpipe Commercial License. See the official website, current pricing, repository, license, and MCP documentation for authoritative details.

Popular alternatives: Glean, MP3 to Transcript, Audionotes, NoteGPT

Powerful capabilities

✨ Key Features

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Local Screen and Audio Capture

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Searchable Computer History

⚡

Recall Conversations and Context

⚡

Meeting Notes and Work Summaries

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MCP Server and Local API

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Local-First Storage

Real world usage

🚀 Popular Use Cases

🚀

Recall Past Work

Search your own computer history when you need to recover a detail, page, or task from earlier work.

🚀

Find Past Conversations

Find conversations and information you previously saw or heard on your computer.

🚀

Generate Meeting Notes

Create meeting notes and work summaries from captured screen and audio context.

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Give AI Assistants Context

Let compatible AI assistants use Screenpipe history as context through MCP or the local API.

✅

Advantages

Pros

Local-first screen and audio capture
Searchable computer history
MCP server and local API for AI context
Useful for meeting notes and work summaries
❌

Limitations

Cons

Configured cloud AI, transcription, sync, integrations, and connected AI clients may transmit context off-device
Privacy settings and connected services require careful review
Source-available under the Screenpipe Commercial License rather than a permissive open-source license

Common questions

❓ Frequently Asked Questions

What is Screenpipe?

Screenpipe captures screen text and audio locally to create searchable computer history, helping users recall past activity and generate useful summaries.

Is Screenpipe data stored locally?

Raw capture is stored locally by default. Configured cloud AI, transcription, sync, integrations, and connected AI clients can transmit context off-device.

Can AI assistants use Screenpipe history?

Yes. Screenpipe's MCP server and local API let compatible AI assistants retrieve computer history as context.

What can Screenpipe help with?

It can help users find past conversations, recall what they saw or heard, and generate meeting notes and work summaries.

Is Screenpipe open source?

Screenpipe is source-available under the Screenpipe Commercial License. See the official license at https://github.com/screenpipe/screenpipe/blob/main/LICENSE.md.

Where can I check Screenpipe pricing?

Check the current pricing and onboarding information at https://screenpipe.com/onboarding.

Final thoughts

🏆 Screenpipe Verdict

Screenpipe is a local-first computer history tool for capturing screen text and audio, searching past context, and turning work history into notes and summaries. Its MCP server and local API make that history available to compatible AI assistants, while users should review every configured cloud service and integration before sharing sensitive context.

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