Durable Execution
How does durable execution persist workflow state across crashes?
Durable execution persists workflow state by checkpointing the entire execution context—including variables, call stack, and event history—to a durable store after each deterministic step. When a crash or restart occurs, Catalyst replays the checkpointed state from the last completed step, not from the beginning. This ensures no progress is lost, though any side effects from the interrupted step must be idempotent or reconciled by your application logic.
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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
Why do production AI agents need durable workflows?
Production AI agents need durable workflows because real agent tasks rarely finish in a single clean request.
- Durable Execution
Is checkpointing enough for production AI agents?
Checkpointing helps, but it is usually not enough by itself for production AI agents. It explains the production reliability impact for AI agent workflows.