OpenClaw AI Agent Stack on Railway — n8n Workflows, Tailscale Mesh, GPU Compute & 500+ Integrations

OpenClaw is a self-hosted AI agent gateway with multi-provider LLM routing, autonomous task execution, and 39 built-in skills. This template goes beyond bare OpenClaw — adding n8n workflow automation, Tailscale encrypted mesh networking, on-demand Modal GPU compute, and 500+ SaaS integrations out of the box, all pre-wired and one-click deployable on Railway.

Deploy and Host OpenClaw AI Agent Stack on Railway

Deploying this stack means running a production-ready AI agent infrastructure in minutes — not hours. One click provisions OpenClaw (AI gateway), n8n (workflow automation), Postgres, and Redis on Railway, with Tailscale WireGuard mesh embedded directly in the container for zero-SSH secure remote access. The browser-based /setup wizard at your Railway domain handles model provider selection, cost optimization, and workspace initialization automatically. All companion service secrets and internal URLs are auto-wired via Railway reference variables. No manual configuration. No exposed ports. No DevOps overhead.

About Hosting OpenClaw AI Agent Stack on Railway

The standard OpenClaw Railway template gets you a gateway. This template gets you a complete autonomous AI infrastructure stack. On top of OpenClaw, you get n8n (workflow automation engine with AI agent nodes), Postgres, Redis, Tailscale WireGuard mesh (embedded in the container — no SSH, no exposed ports), Langfuse LLM observability, PostHog analytics, and Composio's universal MCP server for 500+ SaaS integrations. A browser-based /setup wizard handles onboarding and applies cost-optimized defaults that reduce LLM API spend by 90%+. All cross-service secrets and internal URLs are auto-generated via Railway reference variables — nothing to wire manually.

Common Use Cases

• Autonomous AI dev agents — Run persistent coding agents on Railway that execute tasks, commit PRs, and report results via Slack or Telegram — accessible securely from your local CLI over Tailscale with zero SSH configuration
• AI ↔ n8n bidirectional pipelines — Trigger n8n workflows from OpenClaw (CRM updates, scheduled reports, social scheduling via Postiz) or call the OpenClaw hooks API from inside n8n to run AI tasks at any workflow step
• Multi-provider LLM gateway with GPU burst — Route requests across Anthropic, OpenAI, DeepSeek, Grok, and Kimi from a single endpoint, with automatic model fallback chains, Langfuse cost tracking, and Modal GPU burst for ML inference and image/video generation

Dependencies for OpenClaw AI Agent Stack Hosting

• Railway account with a Volume mounted at /data for config and workspace persistence across deploys
• Tailscale account — free tier; generate a Reusable + Ephemeral auth key at Tailscale Admin > Keys
• LLM API key — Anthropic, OpenAI, Google, OpenRouter, DeepSeek, xAI Grok, or Kimi (set in Railway Variables or entered during the /setup wizard)

Deployment Dependencies

• OpenClaw
• n8n — workflow automation
• Tailscale — encrypted mesh networking
• Modal — serverless GPU compute
• Composio Rube MCP — 500+ SaaS integrations
• Langfuse — LLM observability and evals

Why Deploy OpenClaw AI Agent Stack 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 OpenClaw AI Agent Stack 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.