Durable Execution
How do I decide between a message queue and durable execution for orchestrating AI agents?
A message queue works for fire-and-forget tasks where each step is independent and retries are simple. Durable execution is needed when agents have multi-step logic, conditional branching, or human-in-the-loop pauses. Queues don't preserve workflow state across steps; durable execution replays the entire orchestration from the last checkpoint.
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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.