Kill the Worker, Keep the Research: Build a Recoverable LangGraph Agent on Temporal

A research agent can spend minutes or hours accumulating search results, model outputs, citations, and intermediate synthesis. Losing that work because a Python worker restarts is not an acceptable failure mode. The useful design target is therefore not an immortal worker process but a disposable worker whose completed research remains durable.

Temporal’s official LangGraph integration provides that boundary: LangGraph still defines agent state and control flow, while Temporal supplies durable execution, Activity retries, timeouts, and replay-oriented recovery. As of September 2026, the integration is in Public Preview; its Python API is still marked experimental, and it requires temporalio 1.27.0 or later.