Azure AI Agents vs LangGraph

Which orchestration framework is right for your next multi-agent project? Let's break down the key differences.

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The Developer's Playground

Built on LangChain, LangGraph gives you absolute code-first control over complex, cyclic workflows.

• Open-source & no vendor lock-in
• Native support for cyclic workflows
• Transparent state checkpointing

The Enterprise Fleet

Microsoft's managed approach abstracts away infrastructure complexity for secure, scalable deployments.

• Fully managed state & threads
• Built-in Entra ID & B2C security
• Native ecosystem integration (Search, Cosmos DB)

State Management

LangGraph: State is a first-class citizen. You manage SQLite/Postgres and get transparent "time travel" debugging.

Azure: State is handled opaquely via the managed Threads API. It's maintenance-free but offers less raw visibility.

Which should you choose?

Choose LangGraph for highly custom cognitive architectures and open-source flexibility.

Choose Azure AI Agents for enterprise compliance, zero-infrastructure deployment, and tight Azure integration.