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Developer builds fully offline AI memory assistant for Android with zero cloud use

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A developer has created Aye-Aye, an Android app that passively indexes on-screen content and turns it into a searchable personal knowledge base without sending any data to the cloud. The app uses Android's accessibility services, a notification listener, and offline OCR to capture text from apps, images, and alerts entirely on-device. For search, it combines encrypted keyword search via SQLCipher FTS5 with a locally run 37 MB embedding model, merging results using Reciprocal Rank Fusion for improved accuracy. The project was inspired by the developer's earlier privacy-focused key management platform, Pribado, and applies the same zero-backend philosophy. The developer is currently seeking beta testers to evaluate the app's architecture and on-device performance.

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