State Machine Based Task And Flow Execution With Automatic Retry And Recovery

via “run lifecycle state machine with automatic retry and error handling”

Trigger.dev – build and deploy fully‑managed AI agents and workflows

Unique: Implements a centralized run state machine in the run engine that all coordinator instances reference, with state transitions persisted to database and validated via distributed locking, ensuring no concurrent state conflicts. Retry logic is decoupled from task code via runAttemptSystem, allowing retry policies to be updated without redeploying tasks.

vs others: More deterministic than Temporal because state transitions are explicitly modeled in a single state machine rather than distributed across workflow code, making failure modes easier to reason about