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A shared kernel for different missions.

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Orchestro is the control plane for autonomous software agents. It maintains persistent AI-agent loops with durable state, work selection, recovery, independent verification, production feedback and learning. Your models supply intelligence and agent harnesses execute; Orchestro keeps the work and evidence connected. Super private beta, primarily used on our own internal projects. The preview is free with hands-on onboarding; users supply their own agents, subscriptions and infrastructure. Public self-service access and broader unattended autonomy remain in development.

The same kernel runs a Reliability Factory and a manually configured Content Factory pilot. A domain adds its work vocabulary, evidence, policy, adapters and completion rules. The kernel keeps durable state and constrains effects while agents choose a method.

Same kernel. Different domain.

Workflow automation says “when X, do Y”. An agent completes a task. Orchestro maintains a mission over time: observe, understand, select, strategize, execute, verify, learn and create the next work.

Goal-based scaffolding and Domain Builder V1 exist in the private core; public self-service onboarding is in development. Read the two-domain proof or check live capabilities versus roadmap.

In Reliability: start with the user’s job

“Sign up” is a product capability. The form, authentication service and verification email are the pieces behind it. Factory links them so a technical issue has a human context.

User goalProduct capabilityCode + evidence

Keep two questions separate

  • Did the change work? Check the actual released behavior, with verification separate from the agent that made the change.
  • Did it help? Look at a meaningful user or business outcome. An improvement in a metric alone does not prove what caused it.
Understand the loop. Then see a real Factory.

How it works pairs the owner view with the machinery underneath. Live Factories reads a dedicated public projection: Content is connected; ARVO is Coming online. Every observation has a timestamp. Missing or stale data is never replaced with sample activity.

The older product and marketing walkthroughs remain in illustrative operating examples. Their sample metrics explain the model; they are not live results.

Get oriented

Early access, actively being built.

The private owner cockpit is deployed, and Content has a public read-only view. Product illustrations remain labelled separately. The availability page distinguishes deployed preview capabilities, historical proof and remaining work.

Something unclear?Talk to the builder