Temporal Comparison
How does Catalyst's support for probabilistic AI agents compare to Temporal's deterministic model?
Catalyst is built for probabilistic AI agents, handling non-deterministic outputs from LLMs and agent frameworks without requiring deterministic replay. Temporal's model assumes deterministic workflow code, which conflicts with probabilistic agent behavior. If your agents rely on LLM calls, branching, or dynamic tool selection, Catalyst's design accommodates that natively, while Temporal would need workarounds.
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