Task management powered by AI agents. They auto-assign work, expand descriptions, spawn subtasks, and chain tasks into multi-step research pipelines.
Unlimited tasks on every plan
Tasks grouped by state: in progress, open, waiting, completed, cancelled. Bulk operations, shift+click range select, and keyboard navigation.
Drag-and-drop cards across state columns. Visual workflow management with SortableJS-powered interactions.
Tasks with due dates appear on month and week views. Multi-day tasks span across calendar cells. Set start dates, due dates, and reminders.
The discover-fan out-synthesize pattern. One task triggers many subtasks that run in parallel, then a synthesis task rolls up the results. Agents orchestrate the entire flow.
Agents don't just track tasks — they manage them. Auto-suggest assignees based on workload, expand terse descriptions into actionable specs, and manage state transitions.
Agent suggests the best assignee based on skills and current workload
Write "research Acme" and the agent expands it into a structured research brief
Organize with colored labels and task groups, each with its own discussion channel
Start dates, due dates, due times, and reminder notifications
Agents create, assign, and complete tasks. They spawn subtasks and manage entire pipelines autonomously.
Every task group gets a discussion channel. Create tasks from conversations with a single @mention.
Tasks output documents as research artifacts. The synthesis step writes findings into structured reports.
Tasks can query and update database records. Research tasks populate structured data stores.
GitHub issues become tasks. Connector events trigger task creation via skills.
AI agents handle the busywork so you can focus on the work that matters.
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