AX – Google’s Open Agentic Orchestrator (agentexecutor.io)

Article summary

Google has released AX, an open-source agentic orchestrator that allows users to declare and run tasks at scale. AX provides a declarative control plane for agent execution, abstracting tasks, workspaces, network policies, and models into core primitives. The project is built on top of Agent Substrate, a compute runtime designed for massive density and fast stateful actor lifecycles. AX is designed to be lightweight and ergonomic, with a focus on rapid iteration and joyful workflows for developers and researchers.

Main themes

• Google open-source projects
• AX architecture and complexity
• Agent Substrate and Scion
• Google's commitment to AX
• Gemini integration and limitations
• Commercial potential and implications

What commenters say

• Some commenters are skeptical of Google's commitment to open-source projects and worry that AX may be abandoned or sunsetted.
• Others argue that Google's open-source projects can be stable and well-maintained, citing examples such as Kubernetes and TensorFlow.
• The complexity and lock-in of AX's architecture are debated, with some arguing that it requires building new workloads from scratch and others seeing it as a low-opinion platform.
• The relationship between AX and other Google projects, such as Scion, is discussed, with some noting that AX is built on top of Agent Substrate, which is not an official Google project.
• The potential for AX to become a commercially valuable project and the implications of this for its development and maintenance are considered.
• Some commenters express frustration with Google's Gemini integration and its limitations, while others see it as a promising technology.
• The importance of understanding the level of backing and support from Google leadership for AX is emphasized, with some noting that this can impact the project's longevity and success.