Railway's core abstraction is a service: a deployment target backed by a container, usually sourced from GitHub, a local directory, or a Docker image. Railway tracks deployments, variables, start commands, metrics, regions, scaling, and health checks around that service.12 AgentVM's core abstraction is a bounded machine: a Linux server or MCP Sandbox that an agent can provision for a task and reach over SSH.3
The overlap appears when an agent needs cloud compute, but the products answer different questions. Railway asks how to ship and operate an application. AgentVM asks how to safely give an agent a temporary computer.
Railway is deployment-centric
Railway services are containers deployed from source or images. The platform builds, starts, redeploys, scales, places, and health-checks those services as application deployments.12
That is a good fit for web apps, APIs, workers, databases, scheduled jobs, and other workloads where the desired outcome is a continuously managed service rather than an interactive machine.
AgentVM is task-computer-centric
AgentVM provisions a server with an SSH identity, runtime boundary, region and plan selection, machine state, and eventual expiry. The machine can install arbitrary tooling and act as a temporary remote workstation or automation host.3
This favors coding agents, research workers, one-off automation, temporary services, secure investigation boxes, or other tasks where the machine itself is part of the workflow and may be discarded when the work finishes.
Repository deployment and shell access are not the same thing
Railway's source-driven workflow is excellent when the repository is the unit of deployment: connect a repo or image, configure the service, and let the platform manage deployments.1
AgentVM is more appropriate when the agent needs to mutate a general Linux environment interactively—clone several repositories, install system packages, use SSH tools, run ad hoc processes, or leave behind artifacts that are not naturally expressed as a deployed service.
AgentVM adds autonomous purchasing
AgentVM's MPP endpoints let a compatible harness pay for bounded compute as part of an HTTP workflow.4 That turns temporary infrastructure acquisition into something an agent can perform under an explicit payment boundary.
Railway's public docs focus on project, service, deployment, and account workflows rather than a machine-payment challenge protocol.12 For normal developer-operated deployment this is not a disadvantage; it is simply a different control-plane assumption.
Choose the desired end state
Choose Railway when the end state is a deployed application or service that should be continuously managed, scaled, rebuilt, and health-checked as part of a project.
Choose AgentVM when the end state is an agent having a temporary computer with SSH access, a known maximum lifetime, provider-backed capacity, and an optional machine-payment path.