An open-source macOS app that locally records everything you view, enabling searchable history and text extraction.
rem is an open-source macOS application that locally records everything you view on your screen by taking automatic screenshots. It solves the problem of forgetting what you've seen by enabling searchable visual history, text extraction, and context building for LLMs, all while maintaining complete privacy with no data leaving your device.
Mac users, particularly developers, researchers, and knowledge workers who need to recall past information, extract text from screens, or build context for AI tools without compromising privacy.
Developers choose rem for its strict privacy guarantee—100% local operation with no telemetry—and its unique ability to create a searchable, time-travelable record of everything viewed, which is especially valuable for debugging, research, and LLM integration.
An open source approach to locally record and enable searching everything you view on your Mac.
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Operates 100% locally with no telemetry or data leaving the device, as emphasized repeatedly in the README for security and trust.
Uses macOS Live Text to automatically recognize and copy text from past screenshots, enabling easy retrieval without manual effort.
Provides keyword search and application filtering for navigating captured screenshots, making it practical for recalling past work or information.
Includes a feature to grab recent visual context for LLM prompts, directly supporting AI-powered workflows as highlighted in the features list.
Labeled as 'very alpha' and actively seeking contributions, indicating likely bugs and instability that users must tolerate.
Only available for macOS, with experimental Intel builds and cross-platform support as a separate early-stage project, limiting accessibility.
Roadmap shows missing features like natural language search and better multi-monitor support, reducing current functionality compared to ideals.