AI Agent Deployment
Deploy agents
like services.
Agents shouldn’t require custom deployment scripts held together by convention. MUTX treats deployment as a first-class record — with repeatable environments, rollback paths, and audit trails that make what shipped legible to your whole team.
Deployment properties
Deployment should
be a record, not a hope.
Most agent tooling doesn’t have a concept of deployment — just a script that runs and hopes for the best. MUTX makes deployment a durable record so you can audit what changed, roll back what broke, and reason about production state without guessing.
Repeatable environments
Define a runtime environment once. Deploy the same configuration to staging, pre-production, and production without surprises — because the environment is the artifact, not a script someone wrote two months ago.
Deployment records
Every deployment is a record. What changed, who deployed it, what runtime config was active. You can reason backward from a production incident instead of forward from a Slack message.
Rollback paths
When a deployment goes wrong, rolling back should be a defined action, not a heroic improvisation. MUTX keeps the previous deployment state accessible so rollback is explicit, not guessed.
Environment parity
What runs locally should behave the same in staging and production. MUTX enforces environment parity through the control plane — not through a team’s collective memory of what ‘should’ be the same.
Connected surfaces
Deployment is where
everything comes together.
When deployment is a first-class control plane record, governance policies, cost limits, and monitoring all attach to it cleanly. The deployment is the artifact — everything else flows from it.
Governance
Governance policies travel with the deployment. When you promote an agent to production, the auth boundaries and operator access controls promote with it — not a separate configuration you have to remember to update.
Cost Management
Cost budgets and rate limits attach to the deployment record. The same spend limits that worked in staging are active in production — enforced by the control plane.
Monitoring
Monitoring traces attach to deployment records. When you investigate an incident, you see which deployment is running and what changed — not just a time-stamped log dump.
Reliability
Health checks and readiness probes are part of the deployment record. The agent isn’t “running” until the control plane confirms it — not until a process started in the background.
Get started
Ship an agent and
see the deployment record.
Download the Mac app, deploy your first agent, and see what the deployment record looks like when it’s built around legibility and rollback — not around whatever was easiest to implement.