Dayflow is an open source macOS application designed to automatically generate a detailed timeline of a user’s daily work activity by analyzing screen recordings. It continuously captures lightweight snapshots of the screen and processes them at intervals using AI to produce contextual summaries of what the user was actually doing. Unlike traditional time trackers that only log application usage, it focuses on understanding the intent behind activities, distinguishing productive work from distractions. It is built as a native SwiftUI application and emphasizes efficiency, using minimal CPU and memory while running in the background. A strong focus is placed on privacy, as all captured data remains local by default and users can choose their preferred AI provider, including local models or external services. The generated timeline includes summaries, distraction highlights, and visual representations of the day, helping users reflect on productivity and workflow patterns.
Features
- Automatic generation of a daily timeline with AI-based summaries
- Context-aware tracking that interprets actual activities, not just apps
- Local-first data handling with configurable AI provider options
- Timelapse playback and distraction highlighting for insights
- Export timeline data as Markdown for reporting or sharing
- Built-in journaling with intentions, reflections, and AI summaries