Durable Execution for AI Agents: LangGraph, DBOS, Inngest and Temporal Compared
Durable execution saves the result of every step your agent finishes, so a crash costs you the one step that was running and not the hour of API calls behind it. LangGraph checkpoints graph nodes. DBOS, a library that keeps the workflow log in your own database, checkpoints into the Postgres you already run. Inngest replays saved step results. Temporal replays your workflow code against an event history. What separates them is where that state lands: your own database, a cluster you run, or somebody else's platform.
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TL;DR
All four resume a crashed agent. What you get back is whatever you remembered to wrap.
- A crash costs you whatever you did not wrap.All four save each stepβs result the moment it finishes, so a retry hands back the saved answer instead of running the step again. None...
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