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Ritual is a collection of self-tracking and observability tools used to measure and quantify your behavior.

What is Ritual?

Ritual connects to the devices you use and wear every day. You can connect your wearable devices (Apple Watch, Whoop, Oura Ring, Garmin), computer, phone, car (Tesla), and bank accounts (Plaid) to generate logs that update automatically — or you can manually submit logs in natural language or voice mode. Chat with pre-defined tool calls and vector search can be used to make sense of your behavioral data, parsing it to find new insights, correlations, and patterns.

Who is Ritual for?

Ritual is built for anyone that wants deeper observability of their life. It is built for anyone that wants to improve, because you will never get better if the progress of what you are working on is impossible to measure.

Current Features

  • Index: Single source of truth of your behavioral data
  • Metrics: Draggable metric cards with charts, streaks, trends, and percent-change indicators across custom time ranges
  • Logs: Searchable records and traces of events with virtualized infinite-scroll tables
  • Calendar: Plan tasks and visualize your daily/weekly/monthly schedule
  • Integrations: Connect your computer, phone, wearable devices, car, and bank accounts
  • Chat: Conversational AI with 16+ tool calls — ask questions about your habits, get weekly/monthly overviews, anomaly detection, correlation analysis, and computer activity breakdowns
  • Context Understanding: Combine Ritual Watcher, Ritual Recorder, OCR, and cloud memory search to reconstruct what you were doing
  • Analytics: Habit statistics, trend analysis, correlation matrices, streak tracking, and anomaly detection
  • Data Import: Bulk import from CSV, screenshots, Apple Health, Whoop, Oura, Garmin, and Fitbit with validation, conflict resolution, and undo support
  • Ritual Watcher: Tracks your app and browser usage statistics with accessibility-based context capture
  • Ritual Recorder: Records your screen and converts frames to OCR text via Apple Vision
  • Vector Search: Hybrid lexical + semantic search over screen recording/watcher data, activity context, and cloud memory