Google Open-Sources AX — An Orchestrator for AI Agents
Google has released the source code for AX, a new orchestration tool for AI agents described as 'Kubernetes for agent execution'.
Google has open-sourced AX, its new orchestrator for AI agents.
Think of it as a sort of "Kubernetes for agent execution." It is designed to manage and coordinate the lifecycle of autonomous AI agents within complex workflows.
You can view the repository here: google/ax on GitHub
Why it matters
AnalysisThe release of AX provides developers with critical infrastructure for scaling and managing multi-agent systems, potentially simplifying the architecture of complex AI applications.
Discuss in community
Share your questions and insights with developers
Related in Ecosystem
Practical guides, core terminology, and agent skills
AGENTS.md in Ghostty and Turborepo makes AI agents report on users
Examples of AGENTS.md files show how repository instructions can force AI agents to add insulting notes about developers to pull requests.
Jev and System One AI: A Complete Practical Guide to the Decision Model from TypeSafe
A deep engineering breakdown of the flagship Jev model: System One architecture versus LLMs, Choice/Score/Noul primitives, request parallelism, confidence mathematics, video use cases, code, and an overview of local open-weight alternatives (Laya, GLiNER2.5, CLM-8B).
DeepSeek launches Creator Mode to let users reshape their harness
DeepSeek’s open-source harness now supports Creator Mode, where an agent can write and embed plugins based on plain-language descriptions.
Claude Code Projects: How a Single AI Orchestrates a Team of Autonomous Agents
A deep dive into Claude Code Projects: Coordinator and Threads architecture, parallel branches, shared memory via MEMORY.md, and cloud agent management.