Deploy and Host self hosted OpenClaw Gemini (Self-Hosted AI Assistant Gateway on Gemini Models) on Railway

OpenClaw Gemini runs the open-source OpenClaw gateway on Railway with Google Gemini as its model provider. It suits people who want a personal assistant on Gemini models without paying for a hosted chat app.

About Hosting OpenClaw Gemini open-source software on Railway (self hosted OpenClaw on Google Gemini template)

This template runs one OpenClaw gateway service in a container, with its state and workspace kept on a persistent volume at /data so your sessions, config and files survive redeploys.

Why Deploy OpenClaw Gemini, the Gemini app alternative on Railway (Railway Free Trial)

The Gemini app is easier if you just want to chat with Google's model. You pay Google per token, plus Railway usage, and Railway's $5 trial covers a first test.

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 OpenClaw Gemini 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.

Railway vs Other Hosting Providers and VPS for OpenClaw Gemini self hosting

Railway runs the container, volume, domain and redeploys for you. Here is how the other options compare.

Provider	What You Get with Railway	What You Get with the Other Provider
DigitalOcean	A deploy in a few clicks, with a persistent volume at /data and a public domain wired to port 18789.	A cheap Droplet where you manage Docker, firewall, TLS and updates yourself.
AWS	One service with no VPC or security groups to set up before your Gemini key works.	Deep networking control, plus a path to Vertex AI with Application Default Credentials.
Hetzner	Builds and restarts on every push, so you skip SSH and systemd entirely.	Very low monthly cost for a fixed server, if you're happy running Docker and backups by hand.

Railway costs more per month than a bare Hetzner box, but you trade that for less server time.

Common Use Cases for hosted OpenClaw Gemini

Telegram or WhatsApp daily assistant on Gemini Flash: Point the gateway at a Flash model and pair your phone as a DM channel. Flash is cheap enough to chat all day.
Image and voice-note understanding: Send a receipt photo or a voice note and let the Google plugin's media understanding read it. No separate OCR or transcription service is needed.
Grounded web answers: Enable Gemini grounding through the Google plugin's web search so current questions come back with sources.
A bigger Gemini model for hard tasks: Keep Flash as the default and switch to a larger Gemini model for long planning or code review.
Team Slack assistant on Gemini: Run one shared gateway in Slack for a small team on a single AI Studio key. Check the free-tier rate limits and data-use terms before sharing anything sensitive.

Dependencies for OpenClaw Gemini Docker hosted on Railway

This template runs one OpenClaw service from the official Docker image, with a persistent volume for state and workspace files. Railway hosts the container and the volume.

Deployment Dependencies for Managed OpenClaw Gemini Service (AI Assistant Gateway)

A Railway account with a service that can run a Docker image and attach a volume.
A Google AI Studio API key from aistudio.google.com/apikey, set as GEMINI_API_KEY (GOOGLE_API_KEY also works).
The OPENCLAW_GATEWAY_TOKEN generated at deploy time, pasted into the Control UI settings.
A volume mounted at /data for state (under /data/.openclaw) and the workspace.
Optional TELEGRAM_BOT_TOKEN if you want a chat channel.

Implementation Details for OpenClaw Gemini (Using OpenClaw official docker image)

The service runs the official image and listens on port 18789, with a health check at /healthz. The browser variant includes Chromium and needs 1 to 2 GB of RAM.

How does OpenClaw Gemini compare against other ways to run an assistant on Gemini

OpenClaw vs Gemini app (Gemini App Alternative)

Where it fits: The Gemini app is Google's hosted assistant and the fastest way to start. OpenClaw is a gateway you run yourself on Railway.
Channels: OpenClaw connects to Telegram, WhatsApp and Slack, so the assistant answers where your chats already are.
Honest trade-off: The Gemini app wins on polish and zero setup.

OpenClaw vs Hermes Agent (Self-Hosted Agent Alternative)

Shared idea: Both are self-hosted agents you run on a server you control.
Model access: This template uses a Google AI Studio key for Gemini. Hermes Agent may suit you better for a different runtime or model mix.
Honest trade-off: If Hermes Agent already does what you need, staying put is cheaper.

OpenClaw on Gemini vs OpenClaw on Claude (Same Gateway, Different Models)

Same gateway: Both run the same OpenClaw gateway, channels and tools. Only the model provider changes.
Cost profile: Gemini Flash is a cheap default for daily chat, with a bigger model kept for harder jobs.
Honest trade-off: Claude may be the better pick for some coding or long reasoning, so measure on your own prompts.

OpenClaw vs Google Agentspace (Enterprise Agent Alternative)

Audience: Google Agentspace targets organizations. OpenClaw is a personal or small team gateway you deploy yourself.
Ownership: OpenClaw is MIT licensed and runs in your own Railway project, and you pay Google for tokens and Railway for the container.
Honest trade-off: If your company already standardizes on Agentspace connectors, that is the easier path for work data.

How to use OpenClaw Gemini (the OSS AI assistant gateway)?

Create an API key in Google AI Studio at aistudio.google.com/apikey and copy it right away, since you can't view it later.
Add GEMINI_API_KEY (or GOOGLE_API_KEY) to the OpenClaw service variables and redeploy. Or skip the variables and run openclaw onboard --auth-choice gemini-api-key in the service shell to paste the key.
Set agents.defaults.model.primary to a google/ model id in the config.
Run openclaw models list --provider google in the service shell to confirm your model appears.
Message the assistant from the Control UI or a paired channel. Unknown DM senders need openclaw pairing approve CHANNEL CODE first.

# Service shell
openclaw onboard --auth-choice gemini-api-key
openclaw models list --provider google

// openclaw.json5
agents: {
  defaults: {
    model: { primary: "google/gemini-4-argon" }
  }
}

How to self host OpenClaw Gemini on other VPS Services (OpenClaw self hosting guide)

Any Linux VPS with Node and a persistent disk will run the same gateway. These steps assume Ubuntu.

Clone the Repository

git clone https://github.com/openclaw/openclaw.git
cd openclaw

Install Dependencies

Install Node 24.16 or newer, then install the CLI and run the onboarding daemon setup.

npm install -g openclaw@latest
openclaw onboard --install-daemon

Configure Environment Variables

Create a Gemini API key at aistudio.google.com/apikey, then export it with a gateway token and point the default model at a Google model.

export GEMINI_API_KEY="your-gemini-api-key"
export OPENCLAW_GATEWAY_TOKEN="$(openssl rand -hex 24)"

{
  agents: { defaults: { model: { primary: "google/your-gemini-model-id" } } }
}

openclaw models list --provider google

Start the OpenClaw Gemini Application

Start the gateway on port 18789, open your-domain in a browser, paste the gateway token into the Control UI settings, and approve the browser device with openclaw devices approve.

Official Pricing of OpenClaw Gemini (OpenClaw pricing)

OpenClaw itself is free and open source under the MIT license, and there is no paid OpenClaw plan to buy.

OpenClaw Gemini cloud vs self hosted comparison (Pricing, features, costs, and more)

Running OpenClaw on Gemini splits into two bills: the Railway service that keeps the gateway online, and the Gemini API usage you pay Google. Both paths use the same GEMINI_API_KEY and google/ model ids.

Monthly cost of self hosting OpenClaw Gemini on Railway

Expect roughly $10 to $25 a month for the Railway service. Railway's $5 trial covers a short test, not a month of uptime.

System Requirements for Hosting OpenClaw Gemini on a VPS

On your own VPS, plan for at least 2 GB of RAM with the browser image, or 1 GB for the slim image without Chromium. Install with npm and you'll need Node 24.16 or newer, or 26.1 or newer.

Frequently Asked Questions (FAQs)

Should I set GEMINI_API_KEY or GOOGLE_API_KEY?

OpenClaw accepts either name, so pick one and use it consistently. If both are set, make sure they point to the same AI Studio key so you don't debug a mismatch later.

Which model does OpenClaw use by default?

The upstream docs use google/gemini-4-argon as the default, but your own setting wins. Set agents.defaults.model.primary to a google/ model id and confirm it with openclaw models list --provider google.

Can I run Vertex AI on Railway?

You can, but the fit is poor for this template.

Does the free tier work for a always-on assistant?

It works for light personal use, but AI Studio free-tier rate limits can throttle busy chats.

Can OpenClaw handle images and audio on Gemini?

Yes. The Google plugin adds media understanding for images, audio, and video, along with text-to-speech and web search through Gemini grounding.

How do I fall back to another provider?

Keep a second model configured and point the fallback at it in your config, so a rate-limited Gemini call can route to another provider.