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Agentic Runtime

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Google introduces AX, an open control plane for running AI agents at scale

Google has unveiled AX, a declarative orchestration system designed specifically for agentic AI workloads rather than conventional stateless or batch computing. The project grew out of agentic runtime research from Google DeepMind combined with Google's experience in isolation, resumption, and scheduling at scale, and builds on the existing Agent Substrate framework. AX treats tasks, workspaces, network policies, and models as core primitives so developers can operate large fleets of AI agents without building custom infrastructure.