screenmind is an open-source, privacy-first AI tool that captures, analyzes, and allows searching of your screen activity history entirely on your local machine. Leveraging Gemma 4 and vision AI, it ensures no data leaves your device. Ideal for developers and privacy-focused users who want advanced screen journaling and analysis without compromising privacy.
In the Other AI space, screenmind takes a focused approach. It enables users to privately capture, analyze, and search their screen activity history using local AI models. screenmind is an open-source project aimed at developers and privacy-conscious users seeking local AI screen activity analysis. The project is open source (MIT). The product ships for the command line, and it can be self-hosted.
Behind screenmind is ayushh0110, and the product first shipped in 2026. The project is developed in the open on GitHub with 164 stars and 71 commits in the last 90 days. Among its 6 catalogued features are screen capture, Local AI analysis, and activity search.
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