What is a workflow engine?
A workflow engine executes multi-step processes reliably: triggers start runs, steps execute in order or in parallel, failures retry, and state survives restarts. It is the machinery under serious automation.
From scripts to systems
A script runs once and dies with its terminal. A workflow engine gives the same logic triggers, retries, logging, and a place to live — the difference between an experiment and an operation.
The agentic upgrade
Classic engines route data between deterministic steps. Modern engines add reasoning steps — agents — so the workflow can handle inputs no rule anticipated. The engine still guarantees order, retries and audit.
What to demand from one
Visual construction, real triggers (schedule, webhook, event), human approval gates, provider-portable AI steps, and per-run records. If you cannot see what ran, you do not have an engine — you have a hope.
The failure modes worth designing for
Three account for most production incidents. A step that half-succeeds and is retried, applying its side effect twice. A run that dies between steps and loses state. And a dependency that goes down while the engine reports success because nobody checked the response. An engine worth using addresses all three explicitly, with idempotent retries, durable state and failures that are loud rather than absorbed.
Common questions
How is AGNT’s engine different?
Agent steps are first-class, runs produce receipts, and the whole engine runs local-first — free on your own machine.
Can non-developers build workflows?
Yes — the canvas is visual, and the marketplace ships working workflows to start from.
When is a workflow engine overkill?
For something genuinely run once, a script is fine. The moment it needs to happen on a schedule, survive failure, or be understood by somebody else, an engine is the cheaper option.