WeeklyPlanner is a web-based digital planner designed to help users organize their schedules visually across daily, weekly, and monthly views. Unlike traditional to-do list applications, it presents the week itself as the central workspace, allowing users to see their entire plan at a glance and manage tasks in a more flexible, visual format.
The platform supports drag-and-drop planning, enabling users to move tasks between days and specific time blocks directly on the weekly board. This approach makes it easy to adjust plans without having to rebuild task lists, accommodating real-life schedule changes. Tasks retain their tags and group colors when moved, and the board keeps the whole week in view for better context. WeeklyPlanner also features smart rollover signals, allowing unfinished work to move forward automatically and using the history of deferred tasks as a planning aid rather than a source of guilt.
AI integration is a core capability, with the planner exposing its data to AI assistants through both API and MCP connections. This allows users to let their AI assistant read, create, update, or reorganize tasks, while maintaining control over the final plan. The platform includes an ADHD-friendly focus mode, which offers a calmer daily view with fewer visible tasks, clearer contrast, and straightforward completion feedback, catering to users who prefer a simplified interface for better focus.
WeeklyPlanner is available as a free online service, with users able to start planning without cost. Its combination of visual scheduling, smart task management, and AI readiness positions it as a flexible tool for anyone seeking a more adaptive approach to weekly planning.
In the Time & task tracking space, WeeklyPlanner takes a focused approach. It focuses on organizing and visualizing weekly tasks with flexible scheduling and AI-powered planning. It is built as a consumer product for productivity-focused individuals. WeeklyPlanner follows a freemium model. WeeklyPlanner is available on the web and API.
WeeklyPlanner first shipped in 2024. Key capabilities include weekly planning, drag-and-drop tasks, and AI integration. The interface is available in English and Chinese. It exposes integrations via a public API and an MCP server.
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