Stateful Workflow

A structured sequence of tasks, decisions, and tool interactions that an AI agent follows to achieve a specific goal or complete a process.

A workflow designed to execute tasks that may continue for extended periods, often across asynchronous steps, interruptions, or persistent state.

The dynamic status, variable values, and memory context preserved by an agent or system during active execution.

The practice of saving an execution state at defined points so a task or workflow can resume from the last checkpoint after interruption or failure.

A workflow in which tasks and actions are initiated in response to events, allowing processes to execute asynchronously as new events occur.