A minimal task management system for LLM agent collaboration via the Model Context Protocol, supporting CRUD operations, task blocking, subtasks, queues, and comments.
Enables task management through natural language with full CRUD operations including add, list, update, complete, and delete tasks with JSON persistence.
Enables intelligent task management with status tracking, dependency resolution, and automatic next task discovery based on preconditions and priorities. Supports hierarchical task structures with subtasks and flexible JSON-based configuration.
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.
Enables comprehensive task management with groups, custom statuses, and task relationships, designed for AI assistants to manage tasks during conversations.