How do I deploy Coworker on Railway?

You can deploy Coworker on Railway by clicking the "Deploy Now" button on this page. Railway will automatically set up all the necessary services and configurations for you.

What are the system requirements?

Railway handles all the infrastructure requirements. You only need a web browser to deploy and manage your application.

Is this template free to use?

Yes, this template is free to use within your existing Railway account.

Can I customize this template?

Yes, you can fully customize this template. After deployment, you will have full control of what you've deployed in your Railway project.

How do I get support for this template?

You can get support through our community forum: coworker-601a8c12, or click "Get template help" for this template for more assistance.

Deploy and Host Coworker on Railway

Coworker is an open-source AI agent built with Mastra. It acts as an AI team member that handles tasks, answers questions, and manages workflows via chat. Supports OpenAI, Anthropic, Google Gemini, NVIDIA, Groq, and Kimi. Includes A2A protocol, MCP server/client with UI, Lovable-like app builder, and a skills marketplace. An open-source alternative to OpenClaw.

About Hosting Coworker

This template deploys a complete Coworker stack: the Mastra server, Inngest for scheduled task workflows, Postgres and Redis for Inngest's production mode, and an optional Tailscale subnet router for private network access. All services are pre-configured with Railway's private networking so they communicate securely without public exposure. After deploying, set your preferred AI model and provider API key. Download the Coworker desktop app for macOS and point it at your Railway server URL.

Common Use Cases

AI chat assistant — answer questions, draft content, summarize documents, and brainstorm ideas
Scheduled task automation — run recurring AI workflows on a cron schedule via Inngest
App builder — Lovable-like builder for creating internal dashboards and tools, maintained by agents with git version control
MCP UI — visual interface for managing MCP servers and building agent-maintained internal dashboards
Skills marketplace — install community-built skills from ClawHub and skills.sh
MCP registry — discover and install MCP servers from the built-in registry
A2A (Agent-to-Agent) protocol — let other AI agents discover and communicate with Coworker
Google Workspace integration — manage emails, calendar, and docs through natural language
WhatsApp bridge — interact with your AI agent via WhatsApp messages
Multi-provider AI — switch between OpenAI, Anthropic, Google, NVIDIA, Groq, Kimi, or any OpenAI-compatible endpoint

Dependencies for Coworker Hosting

An API key for your chosen AI provider (OpenAI, Anthropic, NVIDIA, Google, Groq, or Kimi)
A Tailscale account and auth key (optional, for private network access)

Deployment Dependencies

Mastra — AI agent framework for TypeScript
Inngest — Workflow and scheduled task engine
Tailscale — Private networking (optional)
Coworker Desktop App — macOS client

Implementation Details

Coworker runs as a Docker container from ghcr.io/array-ventures/coworker:latest. The Mastra server exposes a REST API with built-in routes for A2A protocol (/api/a2a/coworker), agent card discovery (/api/.well-known/coworker/agent-card.json), and MCP server endpoints. Inngest connects to the Coworker SDK endpoint via Railway's private network for workflow orchestration. All inter-service communication uses Railway's internal fd12::/16 network.

Why Deploy Coworker 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 Coworker 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.