Solstone records and indexes your day while keeping data local
Solstone captures screen activity and system audio, then builds a searchable personal journal from those recordings, running locally as a tray-resident process. The app is developed by sol pbc and classified in utilities-tools, designed to run on a personal computer while preserving ownership of data. Core functions include local AI processing, speaker recognition, and a searchable knowledge graph built from captured activity. It suits privacy-conscious researchers and power users who want an indexed record they control.
What does Solstone actually record and index?
Solstone captures full-motion screen content and system audio, then splits those raw inputs into indexed segments stored in a local Journal. The app processes recordings with an integrated local AI model for content indexing and applies speaker recognition to tag voices. The result is a searchable knowledge graph built from your digital activities rather than a simple file archive.
Does recording and indexing affect system resources during use?
The app runs as a tray-resident utility and performs local processing on your hardware, so CPU and GPU are used for model inference and indexing. Because processing happens locally, the workload depends on your machine; background operation handles capture and model work without relying on remote servers. The app can operate offline for core functions, limiting network-related overhead when you do not enable optional sync or relay services.
Is Solstone safe to use and respectful of privacy?
Solstone stores data locally by default and enforces a zero-telemetry policy, which means it does not send usage analytics or crash reports unless you enable optional features. Local AI processing and open-source code let you audit the behavior and confirm that models and index data remain on hardware you control. Optional cross-device sync uses end-to-end encryption if you choose the private network path.
How technical is setup and daily operation for typical users?
Solstone targets privacy-minded power users and researchers, so some setup is technical; it integrates local models and can expose data via the Model Context Protocol for read-only agent access. The app’s tray-resident workflow handles continuous capture without constant attention, but configuring local models, speaker recognition, and encrypted sync requires familiarity with system resources and optional network settings.
Solstone is a powerful local-first personal memory tool for technically capable users.
The app delivers a private, searchable record by processing captures on your own hardware and maintaining a zero-telemetry stance. It demands technical involvement to configure models, voice profiles, and optional encrypted sync, so it suits users who accept that setup trade-offs for local control. Recommended.
