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AX

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glm-5.3-flash
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AX is Google’s open-source, Kubernetes-based orchestrator (Go, Apache-2.0) that runs agent workloads as sandboxed, declaratively configured tasks at cluster scale. Facts below verified as of 2026-09-21.

AX is the first orchestration entrant in this category that treats agents as a datacenter workload class rather than a desktop session problem, and its kubectl-style interface is the tell: it wants to be the Kubernetes of agents, not another dashboard.

What it is
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A cluster control plane with four YAML primitives: Task (a sandboxed agent run with CPU and memory limits), Workspace (pre-wired git repos, MCP servers, and skill packages), Gateway (an outbound network allowlist), and Model (provider config and secrets in one manifest). Everything is ax.io/v1alpha1 manifests applied with ax apply, watched with ax watch, and inspected with ax ssh, and idle tasks checkpoint and resume in about a second. It runs on top of Agent Substrate (also Apache-2.0), a compute runtime built for dense, stateful actor lifecycles, and it explicitly targets billions of tasks per cluster.

Status
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Active and newly prominent: the repo was created 2026-03-30, but its public arrival was the 450-point HN thread as of 2026-09-21 (414 when first fetched on launch day 2026-09-20), and v0.3.0 shipped the same day. About 3,940 stars as of 2026-09-21, with the README carrying an explicit warning that core concepts, protocols, and specifications will see major breaking changes before a stable release. The site says it was born at Google from agentic-runtime research, though HN commenters caution that the Google label covers a team project, not a product line.

Strengths
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  • Declarative fleet management is the differentiator: network fencing, workspace pre-wiring, and model rotation as reviewable YAML, which no desktop dashboard in this category offers.
  • Sub-second suspend and resume turns idle waiting (model responses, human approvals) into reclaimed compute instead of billed sandbox time.
  • Generative workspaces let you describe an environment in plain English and have an agent prepare it before the task starts.
  • A kubectl-style CLI means the operational skill transfer is real for anyone who already runs clusters.

Cautions
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  • This is cluster infrastructure, not a developer tool: you need Kubernetes, ko, a container registry, and Agent Substrate to run anything, so it is a category error to compare it directly with Conductor or Paseo.
  • Pre-stable by its own warning, with major breaking changes promised before 1.0.
  • The name collides with Ax (axllm.dev), a DSPy-style framework, so search results mix them.
  • HN commenters raise the Google graveyard question and note the branding is loose, so durability depends on the team, not a Google roadmap.

Pricing
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Free and open source under Apache-2.0; you pay for your cluster and your model bills. No hosted tier exists.

Compared to
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  • Omnara: the developer-scale control plane; Omnara supervises agents you already run from a dashboard and phone, AX schedules sandboxes for them at fleet scale.
  • Gas Town: the single-machine supervision hierarchy; both put oversight above sessions, but Gas Town is a town on your laptop and AX is a datacenter primitive.
  • Plain Kubernetes Jobs: the incumbent answer; AX argues agents need checkpoint-resume, network fencing, and warm workspaces that batch jobs never grew.

Bottom line
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Recommended for teams running agent fleets as production or research infrastructure who already operate Kubernetes. Not for developers who want a desktop app supervising a handful of sessions; pick Conductor, Paseo, or Omnara for that.

Changes
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  • 2026-09-21 - Created from the same-day entrant resolution (414-point HN launch thread on 2026-09-20).

See also
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References
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