The demo always works. Production is where agents die, on a timeout, a flaky API, a job that runs too long, a spike of traffic. Knitch runs every workflow on durable execution, so the things that kill agents are handled before they reach you.
The failure modes that break agents in production, handled underneath the canvas.
When a model hiccups or an API times out, the node retries on its own with backoff. A transient failure does not end the run.
Steps can run for minutes, not seconds. No 30-second serverless cliff, and no rewriting a job just to fit inside a timeout.
Runs are checkpointed. If something goes down mid-flight, the workflow resumes from where it stopped instead of starting over.
A workflow can suspend for a human approval or an outside event, then pick up exactly where it left off, without holding a process open the whole time.
Runs are queued and rate-limited, so a burst of traffic lines up instead of melting down. Parallel work fans out within set limits.
Every run is traced node by node, with status, timing, and cost. When a step fails, you see which one and why, not a wall of logs.
Built on Trigger.dev. Knitch runs on Trigger.dev's durable execution engine, the same backbone teams trust for background jobs at scale. You get the retries, the queues, and the crash recovery without standing any of it up yourself.