AI product
Temporal's integration with LangGraph runs AI-agent graphs with durable execution through the Temporal Python SDK and LangGraph plugin. It supports LangGraph's Graph API, based on StateGraph nodes and edges, and Functional API, based on @entrypoint and @task decorators. Each node or task is configured to run either as a Temporal Activity, which provides timeouts and retry policies, or directly inside the deterministic Temporal Workflow. Temporal preserves workflow state and supports long-running or interrupted executions; LangGraph interrupts can use Temporal's wait conditions and signals for human approval, while Temporal handles durability without requiring a third-party checkpointer. The integration is currently in public preview and requires temporalio 1.27.0 or later; Python 3.11 or newer is required for the Functional API, interrupts, and streaming from workflow nodes.
1 use taken from transcripts — each links to the moment in the video.
This integration runs LangGraph agent graphs with Temporal's durability primitives. Graph steps become workflows, model and tool calls become activities, and LangGraph interrupts work with Temporal wait conditions and signals for human approval.
1 in the library.