Waldo
Waldo is a personal AI assistant described as an action layer for the human day. It combines body signals from wearables such as Apple Watch, WHOOP, Garmin, and Fitbit with calendar, task, communication, learning, and memory context, then uses that context to plan and close daily workflow loops. The homepage says it reads night and recovery data to rebuild the day, remembers people and preferences, and returns only for consequential judgment. The assistant is designed to coordinate work across existing AI models and agents, including Claude and Codex, as well as tools and apps, under explicitly granted authority. It verifies what actually became true and carries forward open items, aiming to reduce repeated explanations and manual coordination. Over time, Waldo is intended to surface patterns and compound personal context across months and years. Waldo's first surface is Kennel, a free and open-source Mac app that lives in the notch and manages multiple AI sessions and their outcomes. The site also lists planned plugins for WhatsApp, Slack, Linear, Claude, and Codex, plus a coming iOS app for health and personal context. Waldo is listed as free and is offered through an early-access waitlist.
- Category
- AI Agent
- Pricing
- Free
Problem solved
Individuals and knowledge workers currently spread context across separate AI agents, calendars, tasks, messages, and wearable health data. This forces repeated explanations and manual coordination across tools. Waldo aims to unify that context into one assistant that plans around body signals, coordinates existing agents and apps, remembers preferences, and verifies outcomes so daily work and personal workflows close automatically.
Use cases
- Plan and rebuild a day around sleep, HRV, and recovery signals from wearables
- Coordinate multiple AI agents and tools to complete a single outcome
- Remember people, preferences, and project context across conversations
- Manage multiple AI sessions and outcomes from a Mac menu bar or notch app with Kennel
- Track daily habits, health trends, and progress over time
- Route work requests through existing apps like Slack, WhatsApp, or Linear via planned plugins
- Receive proactive interruptions only for consequential decisions
Audience
- Business Users
- Developers
- Product Managers
- Hobbyists
Pros
- Combines wearable and health context with work context rather than treating them separately
- Supports multiple AI models and agents instead of locking into one provider
- Kennel for Mac is free and open source
- Quiet-by-default design with interruptions intended for consequential decisions
- Tracks outcomes and carries forward unfinished work
Cons
- Waldo itself appears to be in early access via waitlist, so general availability is limited
- Plugins for WhatsApp, Slack, Linear, Claude, Codex, and the iOS app are labeled coming soon
- Requires access to sensitive health and communication data, raising privacy considerations
- Effectiveness depends on third-party models, agents, and wearable integrations
- Exact pricing, release date, and technical documentation are not fully specified on the homepage
Official website: https://www.heywaldo.in/
Canonical LambdaBase page: https://www.lambdabase.com/tools/waldo