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Screenpipe

Name: Screenpipe
Brand: Screenpipe
Availability: InStock

Open-source local-first screen and audio recorder that turns everything you see and hear into an AI-searchable memory.

Starting at$0

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In Plain English

Open-source local-first screen and audio recorder that turns everything you see and hear into an AI-searchable memory.

Overview

Screenpipe is an open-source, local-first screen and audio recorder that OCRs frames and transcribes audio with Whisper, then makes everything searchable from a chat interface or via an MCP server. Pipes turn captured activity into automations. MIT-licensed core; optional cloud sync tier; runs on macOS, Windows and Linux.

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Key Features

Feature information is available on the official website.

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Pricing Plans

Open source

Pro / Cloud sync

~$13/month

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Best Use Cases

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Knowledge workers building a personal AI memory layer

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Sales and support reps capturing meeting context automatically

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Engineers needing private, on-device LLM context for an MCP agent

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Compliance-sensitive teams that cannot ship audio or video to the cloud

Pros & Cons

✓ Pros

✓Truly local — no audio, frames or transcripts leave the machine unless you opt in
✓MCP support means Claude Desktop can use your screen history as live agent memory
✓MIT licence and active community make long-term lock-in essentially zero
✓Pipes turn raw memory into useful automations without you writing glue code

✗ Cons

✗Continuous capture is genuinely heavy on CPU, GPU and disk — budget storage accordingly
✗Search quality depends on OCR/Whisper accuracy and can miss handwriting or noisy audio
✗Some pipes are community-maintained and quality varies

Frequently Asked Questions

How much does Screenpipe cost?+

Screenpipe pricing starts at $0. They offer 3 pricing tiers.

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Quick Info

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More about Screenpipe

Pricing Review Alternatives Free vs Paid Pros & Cons Worth It?Tutorial

Overview

Pros & Cons

✓ Pros

✓Truly local — no audio, frames or transcripts leave the machine unless you opt in
✓MCP support means Claude Desktop can use your screen history as live agent memory
✓MIT licence and active community make long-term lock-in essentially zero
✓Pipes turn raw memory into useful automations without you writing glue code

✗ Cons

✗Continuous capture is genuinely heavy on CPU, GPU and disk — budget storage accordingly
✗Search quality depends on OCR/Whisper accuracy and can miss handwriting or noisy audio
✗Some pipes are community-maintained and quality varies