Agent Workflow

AI agents often struggle with coordinating complex multi-step tasks, lacking standard mechanisms for defining step dependencies, handling failures, pausing/resuming long-running processes, or tracking progress across parallel branches. This server provides a robust infrastructure for multi-step workflow orchestration, empowering agents to define workflows with named steps, dependency graphs, and retry policies. It enables comprehensive control over execution, allowing users to start, pause, resume, monitor, and cancel workflows through a standard interface, ensuring reliability and observability for sophisticated agentic operations.

Key Features

Use Cases