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  "title": "Google AX",
  "description": "Apache-2.0 agentic orchestrator from Google (Go) for running autonomous agent workloads at scale. You declare an agent task in a YAML manifest, its workspace and its gateway, and AX sandboxes the task, wires up the workspace, fences its network, and runs it, on Kubernetes, through a control plane. It integrates with LLM providers you supply, so it handles the isolation and scale-out while you bring the model. Early observers describe it as Kubernetes for agent executions.",
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  "open_source": "yes",
  "self_hostable": "yes",
  "pricing_model": "free",
  "who_its_for": "A team that has moved past one agent on a laptop and needs to run many agent tasks reliably, each sandboxed and network-fenced, on infrastructure it controls, rather than trusting an agent loose on a shared machine.",
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    "note": "Apache-2.0, Go, ~4.8k stars, ~625 commits, and the declare-sandbox-fence-run model on Kubernetes confirmed on the repo (WebFetch 2026-09-21, published under the google org). Self-hostable but assumes a Kubernetes cluster and your own LLM provider, so 'free' means the software, not the infrastructure. The 'Kubernetes for agents' framing is an observer's first impression, not a benchmark."
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      "text": "Apache-2.0 agentic orchestrator from Google (Go) for running autonomous agent workloads at scale. You declare an agent task in a YAML manifest, its workspace and its gateway, and AX sandboxes the task, wires up the workspace, fences its network, and runs it on Kubernetes through a control plane. It integrates with LLM providers you supply, so it handles isolation and scale-out while you bring the model. Early observers describe it as Kubernetes for agent executions."
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      "text": "its gateway, and AX sandboxes the task, wires up the workspace, fences its network, and runs it on Kubernetes through a control plane. It integrates with LLM providers you supply, so it handles isolation and scale-out while you bring the model. Early observers describe it as Kubernetes for agent executions.\n\n- Apache-2.0, Go, ~4.8k stars, ~625 commits, and the declarative sandbox-and-fence orchestration model independently WebFetch-verified on the repo 2026-09-21 (github.com/google/ax).\n- Surfaced via the 2026-09-21 viral-posts brief (a credible engineer's \"Google open-sourced AX, feels like Kubernetes for agent executions\").\n- Curated from the GTM Stacker signal registry (2026-09-21 pass); license independently verified 2026-09-21."
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      "text": "~4.8k stars, ~625 commits, and the declarative sandbox-and-fence orchestration model independently WebFetch-verified on the repo 2026-09-21 (github.com/google/ax). - Surfaced via the 2026-09-21 viral-posts brief (a credible engineer's \"Google open-sourced AX, feels like Kubernetes for agent executions\"). - Curated from the GTM Stacker signal registry (2026-09-21 pass); license independently verified 2026-09-21.\n\nOnce agents graduate from a demo to doing real work across a team, the problem stops being the prompt and becomes operations: how do you run twenty agent tasks without one of them wandering out onto the network or trampling a shared machine. AX is Google's answer, declare the task, and it runs sandboxed and network-fenced, at scale, on infrastructure you own. For a GTM or RevOps team that wants agents touching real systems with a blast radius you can set, that isolation is the feature. The honest read: it assumes Kubernetes and a control plane, so this is platform work, not a weekend install, and you still bring and pay for the models. As the piece that makes running many agents an operational discipline instead of a hope, it is worth the pilot."
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