LangGraph vs Temporal for Long-Running AI Workflows (EXPLAINED)
Hard orchestration comparison — LangGraph agent graphs vs durable workflow engines.
TL;DR — Quick Answer
Use LangGraph for LLM-centric control flow with tight model/tool loops and graph-local state. Use Temporal when you need multi-day durable execution, human SLAs across services, strong exactly-once side effects, and polyglot workers. Many systems combine both: LangGraph for reasoning loops inside Temporal activities.
The Interview Question
When would you orchestrate an AI workflow in LangGraph versus Temporal (or a similar workflow engine)? Compare durability, developer experience, and failure recovery.
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LangGraphTemporalWorkflowsDurabilityLangChainUberStripe