File-based Multi-agent Task Management Reference Architecture

This blueprint outlines a reference architecture for a sophisticated AI multi-agent system designed to manage and execute tasks through file-based communication.

The architecture features two specialized agents: a Manager agent responsible for overseeing task coordination and a Worker agent dedicated to executing assigned tasks. Communication between these agents is facilitated via a shared file resource (a todo), enabling efficient task management and execution.

The Manager agent is connected to a trigger integration that responds to external events, allowing it to dynamically assign tasks to the Worker agent based on real-time requirements. The Worker agent, on the other hand, is configured with a timer-based trigger integration that activates it at regular intervals to check for and process assigned tasks.

This architecture exemplifies the effective use of shared resources for inter-agent communication and coordination. By leveraging file-based task lists, the system ensures that both agents can operate asynchronously while maintaining a clear and organized workflow. The modular design allows for easy scalability and adaptability, making it suitable for various task management scenarios in dynamic environments.