Rewisp is an open-source, privacy-first ambient memory tool for macOS that reads and indexes screen text locally to let users search, track promises, and recall past digital context via natural language.
Rewisp is a native, open-source macOS menu bar application designed to act as an on-device digital memory. Using OCR to read and index text visible on the user's screen (without saving screenshots to disk), it stores all data locally to ensure privacy. Users can query their history using natural language to perform semantic searches, track tasks and commitments, compare changes over time, and autofill forms from a secure local Vault. The app also generates a quiet daily digest summarizing key activities, lessons, and unfinished actions.
Rewisp offers a compelling, local-first alternative to cloud-dependent screen history tools like Windows Recall, leveraging on-device processing and open-source transparency to mitigate privacy concerns.
* Privacy-First Design: By avoiding screenshot storage and processing OCR entirely on-device, it addresses the massive security and privacy issues associated with similar commercial products.
* Seamless Local AI Integration: Tiered AI processing allows it to use lightweight local models first, escalating to API-based models only when complex tasks demand it.
* Granular Control Features: Quick shortcuts to pause capture and a "nuke" button to erase the last 10 minutes of screen history provide users with reassurance and control.
* Developer Friendliness: Support for MCP (Model Context Protocol) and integration with external editors like Cursor and Claude Desktop opens up new opportunities for developer workflows.
DISCOVERED
13h ago
2026-07-19
PUBLISHED
19h ago
2026-07-19
RELEVANCE
AUTHOR
Yashmit Bhaverisetti