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    Get started

    Understand Railgrid and complete your first task.

    Choose where to run Railgrid, then pick a quickstart. The application and AI-agent tutorials use the console; install the CLI only when your task calls for it.

    If your organization already runs a self-hosted hub , use the URL and sign-in method supplied by its administrator.

    Choose where to run Railgrid

    You use the same CLI and console on each option. Start with SaaS unless you need Railgrid on your own machine or infrastructure.

    Recommended

    Railgrid SaaS

    Sign in to the hosted hub and start building. Nothing to install or operate.

    Open console     Local

    Run on your laptop

    Create a self-contained hub, providers, and edge in one kind cluster with railgrid dev init.

    Run Railgrid locally     Self-hosted

    Run on your infrastructure

    Install and operate the hub and providers yourself, with your own identity provider and storage.

    Self-hosting guide

    Choose your first task

    Build and publish an application

    Create a project, check its preview, and prepare a production deployment.

    Create an AI agent

    Choose a model, give the agent instructions, and verify its first response.

    Connect a cluster or server

    Register an edge and verify access to a Kubernetes cluster or server.

    Deploy and manage infrastructure

    Choose a template, deploy an instance, and manage its lifecycle.

    Understand Railgrid

    What is Railgrid?

    Understand what Railgrid brings together, when to use it, and how to get started.

    Find your workspace and navigate the console

    Know where you are working before creating resources.

    Connect your tools

    Optional: connect an external AI assistant or use the CLI when your task calls for it.

    MCP for AI Agents

    Expose your clusters and servers as Model Context Protocol servers.

    Use the CLI

    Install the Railgrid CLI and connect to Railgrid SaaS.

    First-task prerequisites

    Your goalStart hereYou need
    Build and publish an applicationApp Studio quickstartApp Studio, Code, Infrastructure, a model, and a development template
    Create an AI agentAI-agent quickstartAI agents and a model connection
    Connect a cluster or serverEdge quickstartEdges, CLI, and a target you administer
    Deploy and manage infrastructureInfrastructure quickstartInfrastructure, an available template, permission to create instances, and any credentials the template requires

    Check that your workspace has the providers and permissions listed in the tutorial.