Durable Execution
How does durable execution differ from traditional workflow engines for AI agents?
Traditional workflow engines assume deterministic logic and fail on probabilistic AI calls. Durable execution in Catalyst handles both: it persists state after each step, including LLM responses, and replays only deterministic parts. This allows you to use any agent framework (LangGraph, CrewAI) without rewriting for reliability. It does not make external API calls idempotent—you still need to handle retries and side effects safely.
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- Durable Execution
What is durable execution in AI agent workflows?
Durable execution means an AI agent workflow can keep its progress even when a process crashes, a tool call fails, or the system restarts.
- Durable Execution
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- Durable Execution
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