Provides tools for coordinating AI agent work on one machine through a local SQLite-backed queue and kanban, including task creation, atomic claiming, lease renewal, completion/failure, listing, comments, and cancellation.
Task management API for AI agents. Create, delegate, and track tasks with agent identity, delegation chains, lifecycle webhooks, and persistent context.
Enables AI agents to manage tasks through a structured lifecycle (todo, in_progress, ai_testing, manual_testing, deployment, completed) with human approval gates, providing a single-user task management system with CLI, REST API, and live updates.
A minimal task management system for LLM agent collaboration via the Model Context Protocol, supporting CRUD operations, task blocking, subtasks, queues, and comments.