workflow-engine

Multi-agent workflow orchestration is handled by defining a machine-readable Directed Acyclic Graph (DAG) that specifies node types, edge conditions, and parallel execution paths to dynamically route agents without hardcoding step logic.

A declarative workflow graph is a machine-readable structure that defines execution logic for agent pipelines. You need it when managing complex routing, state management, and validation to eliminate hardcoded step dependencies in multi-agent infrastructure.

Agent pipeline resumption from saved session states is enabled through the workflow graph's state management capabilities, allowing the Conductor to validate the current step and determine the next logical action based on previous outcomes.

Parallel execution paths and human approval gates are fully supported node types within the workflow DAG, allowing the Conductor agent to route infrastructure deployment steps based on previous outcomes and manual approvals.

Workflow engine validation ensures proper dependencies and outputs for all workflow steps, verifying the structural integrity of the Directed Acyclic Graph before the Conductor agent routes any multi-agent execution.

Using a declarative DAG for pipeline orchestration eliminates hardcoded step logic, enabling dynamic routing, state management, and validation of complex agent pipelines while allowing workflows to resume from saved states.