TaskFlow
CreatedAekkaratjerasuk
Streamlines AI assistant workflows by breaking down user requests into manageable tasks with dependencies and approval steps.
About
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.
Key Features
- 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
Use Cases
- AI assistant task management
- Workflow automation
- Project task breakdown
