Agent Memory & State
What risks come with storing large payloads in agent workflow state?
Storing large payloads directly in agent workflow state carries significant operational risks when using Catalyst’s agentic durable execution for production AI agents. These large payloads slow checkpoint write operations, elevate overall storage overhead, and complicate both workflow replay and root-cause debugging efforts. This risk is most impactful for workflows with frequent state updates, as repeated large checkpoint transfers amplify these cumulative operational strains.
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