Railway

Deploy Agent Zero

Self-hosted general-purpose AI agent with terminal & code exec

Deploy Agent Zero

Just deployed

/a0/usr

Deploy and Host Agent Zero on Railway

Agent Zero is an open-source, general-purpose AI agent framework packaged as a Docker image. Instead of shipping pre-built tasks, it gives an LLM direct access to a terminal, code execution, browsing, and persistent memory — letting the agent write and use its own tools to accomplish whatever it's asked.

About Hosting Agent Zero

Hosting Agent Zero means running its official Docker image (agent0ai/agent-zero) as a long-lived web service with a persistent volume attached. The container serves a Web UI on port 80 and needs /a0/usr mounted to a volume so settings, chats, memory, and knowledge survive restarts and redeploys. Because the agent can execute arbitrary code and shell commands, it should always run in an isolated container (as it does on Railway) and be protected with login credentials before being exposed on a public URL. Once deployed, you add your own LLM provider API key from the Settings panel to start using it.

Common Use Cases

  • Autonomous coding assistant that writes, runs, and debugs code in its own sandboxed terminal
  • Research agent that searches the web, reads documentation, and stores findings in persistent memory
  • General personal automation — file handling, scripted tasks, and multi-step workflows without a fixed toolset

Dependencies for Agent Zero Hosting

  • A Railway persistent volume (mounted to /a0/usr)
  • An API key from an LLM provider (OpenAI, Anthropic, OpenRouter, etc.) — added after deployment, not required at deploy time

Deployment Dependencies

Implementation Details

Only two values are required at deploy time — a username and a password for the Web UI login:

AUTH_LOGIN=your-username
AUTH_PASSWORD=your-password

Everything else — LLM provider, model choice, agent profile — is configured afterward from the Settings panel in the Web UI, or optionally automated later via A0_SET_* environment variables. On first boot, Agent Zero takes roughly 30–90 seconds to initialize (Python, SearXNG, supervisord) before the Web UI responds.

Manual setup vs. this Railway template:

Manual Docker SetupThis Railway Template
Required input before runningDocker install, port mapping, volume path, .env fileUsername + password only
Persistent storageManual volume/bind mount configurationPre-configured Railway volume on /a0/usr
Public HTTPS accessManual reverse proxy / tunnel setupRailway public domain out of the box
Updatesdocker pull + container recreation by handRedeploy from Railway dashboard
Time to running instance10–20 minutesUnder 2 minutes

Why Deploy Agent Zero on Railway?

Railway is a singular platform to deploy your infrastructure stack. Railway will host your infrastructure so you don't have to deal with configuration, while allowing you to vertically and horizontally scale it.

By deploying Agent Zero on Railway, you are one step closer to supporting a complete full-stack application with minimal burden. Host your servers, databases, AI agents, and more on Railway.


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