LangGraph checkpointing lets an agent resume from saved state. In production that leaves a gap: when a model call times out or a tool fails mid-run, something has to notice, decide where to restart, and finish the run. That is usually code you wrote.
Where checkpointing stops
A checkpoint records what the graph completed before the failure. It does not retry the failed step, know which side effects already ran, or restart a process that died. That logic becomes your own layer of retry wrappers and status flags.
What durable execution adds
Diagrid Catalyst records each step durably, so the runtime owns recovery:
- the run resumes at the failed step, not at the start of the graph
- completed steps are not re-executed, so you skip repeat model calls
- every step lands in a signed record you can audit
- one reliability layer covers cloud, edge, and on-prem
What the webinar covers
On Aug 11 we take a working LangGraph agent, force a failure mid-run, then add Catalyst and trigger the same failure. This time it resumes and finishes.
Save your seat at www.diagrid.io/webinars/durable-langgraph-agents
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