Live LabsBuildersSystem design2 hours

Make agents survive failures with durable workflows

Long-running agents die halfway: a timeout, a deploy, a rate limit. We move the agent loop onto a durable workflow engine so a run picks up where it stopped.

You leave with

An agent whose runs retry, pause for a human and resume after a crash.

How the time is spent

  1. I do30 minParam builds it live

    I kill the worker in the middle of a run and show it resume on the next one.

  2. We do48 minTogether, step by step

    We wrap a tool call as a retryable step with a timeout and a backoff.

  3. You do42 minOn your own code

    You add a human approval pause that can wait for a day without losing state.

What you will be able to do

Make a run durable

Survive crashes, deploys and rate limits.

Retry safely

Keep side effects from running twice.

Pause for a human

Wait for approval without holding a process open.

Starts from

Before you come

For
Backend engineers putting agents behind real business processes.
You need
Python and Docker.
Stack
Python, Temporal, LangGraph
Track
Hands-on agentic AI for engineers who ship.

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