LangGraph vs CrewAI

LangGraph Graph-based agent orchestration from LangChain. CrewAI Role-based multi-agent framework. Empire325 builds production agents in LangGraph. The explicit state graph + persistence + LangSmith observability are non-negotiable for client-facing systems where you need to debug a specific failure 3 weeks later. CrewAI is excellent for prototypes and tasks with clear role separation — we've prototyped client deliverables in CrewAI then ported the production version to LangGraph.

LangGraph when you need production-grade observability, explicit state machines, persistence, and the ability to checkpoint+resume long-running agents. The right primitive when 'agent' means 'workflow with LLM steps'.

CrewAI when your problem naturally maps to multiple specialized roles collaborating sequentially. The right primitive when 'agent' means 'team of specialists'.

Yes. Empire325 builds production agents in LangGraph. The explicit state graph + persistence + LangSmith observability are non-negotiable for client-facing systems where you need to debug a specific failure 3 weeks later. CrewAI is excellent for prototypes and tasks with clear role separation — we've prototyped client deliverables in CrewAI then ported the production version to LangGraph. If you're evaluating LangGraph vs CrewAI for an actual deployment, schedule a 15-minute call and we'll share specific recommendations based on your context.

Implementation engagements typically range $15K-$60K depending on scope. We provide written scoping after a 30-minute discovery call. Empire325 has implementation experience across both LangGraph and CrewAI.