TaskFlow
Streamlines AI assistant workflows by breaking down user requests into manageable tasks with dependencies and approval steps.
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TaskFlow helps AI assistants manage complex user requests by structuring them into tasks, subtasks, and dependencies. It uses a Model Context Protocol (MCP) server to enforce a structured workflow, including user approval steps, ensuring efficient task management and control. With features like note-taking and easy integration, TaskFlow simplifies the process of creating and executing tasks in an organized manner.
Características Principales
- Task Management: Breaks down complex requests into simple tasks.
- Subtasks: Organizes tasks into smaller, manageable components.
- Dependencies: Defines task dependencies to maintain workflow integrity.
- Notes: Attaches notes to tasks for additional context.
- User Approval: Ensures tasks receive user confirmation before proceeding.
- 6 GitHub stars
Casos de Uso
- AI assistant task management
- Workflow automation
- Project task breakdown