Durable LangGraph Agents for Cloud, Edge & On-Prem

Checkpointing gets you a snapshot. Durable execution automatically gets you back to the exact point of failure.

Most agent frameworks give you a way to save state. LangGraph checkpoints let an agent pick up where it left off, which is useful while you are building. In production, saving state is only half the job. When a model call times out or a tool fails partway through, something still has to detect the failure, decide where to restart, and drive the workflow to completion. With checkpointing alone, that logic falls on the developer, and it tends to grow into a fragile layer of retries and custom recovery code.

This session looks at the gap between saving state and surviving failure. We walk through how a LangGraph agent behaves when a step fails and where checkpointing stops helping. Then we add agentic durable execution with Diagrid Catalyst and show the difference. The agent resumes from the exact step that failed and runs to completion, with a signed, verifiable record of every step along the way.

For developers, that means deleting hand-built retry and recovery code and trusting the runtime to handle failure. For platform teams, it means one consistent reliability and audit layer across every agent, whatever framework each team has chosen. You leave knowing how to take a LangGraph agent from a working demo to something you can run in production.

Who it's for

• Developers building production agents on LangGraph or a similar framework
• Platform and infrastructure engineers who own reliability across agent workloads
• Engineering leads and managers taking agents from prototype to production
• Site reliability engineers who carry the on-call burden for agent systems
• Security and compliance teams that need an audit trail for agent actions

Demo details

The demo starts with a working LangGraph agent and forces a failure partway through a run, so you can see how far checkpointing gets you on its own. We then add the Diagrid Catalyst package to the same agent and trigger the same failure. This time the agent resumes from the exact step that broke and runs to completion, with no extra recovery code. We close by opening the execution record to show each step signed and traceable back to its source.