Enables AI agents to manage tasks through a board with backlog, ready, in-progress, and done columns, plan daily work, track velocity, forecast backlog completion, and leverage rule-based or DeepSeek-powered recommendations.
Enables AI agents to create, update, list, and delete tasks on a Kanban board via the Model Context Protocol, supporting multi-project management and real-time collaboration.
Gives coding agents 73 native tools to run their own project management — filing, linking, and resolving bugs and features, planning sprints, migrating from Jira/Linear/Shortcut, and handling cross-agent contracts, channels, DMs, notifications, and audit trails. Runs locally or remotely with API-key auth, so agents track work with full intent and reasoning instead of losing it when their context window resets.