AI product
A Python integration that runs Google Agent Development Kit (ADK) agents inside Temporal durable workflows. Its TemporalModel routes LLM calls through Temporal Activities, activity_tool wraps agent tools as retryable Activities, and GoogleAdkPlugin configures the worker to execute ADK workflows on a distributed Temporal system. Temporal records inputs and outputs, retries or replays failed steps, and replaces nondeterministic operations with workflow-safe equivalents; MCP tools can also run as Activities. Workflows can pause for human input through Temporal Signals and Updates, while the Temporal UI exposes LLM calls and tool executions for debugging. The integration supports local ADK development with direct-execution fallbacks outside a Temporal Workflow; the documentation identifies it as experimental with Temporal Python SDK 1.24.0.
1 use taken from transcripts — each links to the moment in the video.
This integration connects Temporal's durable workflows and activities with Google ADK's agent orchestration. The demo uses Temporal model and activity wrappers plus a worker plugin to run and track ADK agents.
1 in the library.