Deploy and Host Möbius on Railway

Möbius is your portal to the world of AI agents — the harness and the interface for working with them. Describe the personal and work apps you need, coordinate the agents that build them, and keep everything they learn. This template deploys your own Möbius: a single container, running on your Railway account, that you own outright and can change all the way down.

About Hosting Möbius

Möbius runs as one service backed by a persistent volume, so your chats, apps, memory, and files stay with you across restarts and updates. It serves a progressive web app you can install on your phone or desktop and reaches you over a single HTTPS endpoint, with no separate database or extra services to wire up. The agent runs inside the container with write access to its own apps, skills, and memory, and Railway keeps it online and the image current.

Why Deploy Möbius on Railway?

Railway gives Möbius a home that's yours from the first deploy. One click provisions the container and its volume, attaches a public URL, and keeps the image up to date, so there are no Dockerfiles to write or servers to maintain. Scale resources up as your agents take on more work, and because everything lives in your own Railway project, your data and your instance are never shared or locked in.

Common Use Cases

Build the personal and work apps you need — dashboards, trackers, small tools — just by describing them, and keep them running beside the chat.
Run a private AI workspace where agents remember your decisions, preferences, and project context across every session.
Delegate parallel tasks or schedule overnight work, then review the results in the morning.
Give a household or team a shared, self-hosted agent that sharpens its own skills, apps, and memory every night through Reflection.
Keep sensitive work on infrastructure you control rather than a third-party service.

Dependencies for Möbius Hosting

Möbius is self-contained. The image bundles everything it needs to run, including the agent runtime and the app compiler, and it uses one persistent volume for all of your data. The only thing you add is your own AI provider — connect Claude or Codex from Settings after you deploy to start building. No external database, cache, or additional services are required.