LangGraph 1.0 is the first stable major release in the durable agent framework space —a major milestone for production-ready AI systems. After more than a year of powering agents at companies like Uber, LinkedIn, and Klarna, LangGraph is officially v1.

What's in LangGraph:

• Durable state: Agent execution state persists automatically. If your server restarts mid-conversation or a long-running workflow gets interrupted, it picks up exactly where it left off without losing context.

• Built-in persistence: Save and resume agent workflows at any point without writing custom database logic. Enables multi-day approval processes, background jobs, and workflows that span multiple sessions.

• Human-in-the-loop patterns: First-class API support for pausing agent execution for human review, modification, or approval. Makes it trivial to build systems where humans stay in control of high-stakes decisions.

• Graph-based execution model: Fine-grained control for complex workflows with a mixture of deterministic and agentic components. Perfect for sensitive workflows that require oversight and careful control over latency and cost.

The only notable change is deprecation of langgraph.prebuilt, with enhanced functionality moved to langchain.agents. Everything else works as expected.

Check out our new documentation and read more in our blog post.