Agent Memory & State
How do workflow state, conversation memory, and retrieval corpora differ?
Workflow state, conversation memory, and retrieval corpora each fill unique, non-interchangeable roles in Catalyst-powered production-grade AI agent systems. Workflow state tracks ongoing execution progress tied to Catalyst’s replayable durable execution checkpoints for both deterministic and probabilistic workflows; conversation memory stores active, persistent chat conversation histories; retrieval corpora hold curated, trusted reference datasets for augmented agent response outputs. No automatic syncing occurs between these three components without explicit custom code.
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- Agent Memory & State
How do workflow state, conversation memory, and retrieval corpora differ for AI agents?
Explain how workflow state, conversation memory, and retrieval corpora differ for AI agents, including their unique roles in durable execution systems.
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Which agent memory and state should be included in durable execution?
Outline which types of agent memory and state are appropriate for inclusion in durable execution layers for production AI agent workloads.
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What agent state survives a workflow crash or restart?
Explain which agent state is preserved following a workflow crash or unexpected restart, and how Catalyst manages state persistence.