---
title: "Deploy Multi Agent System"
description: "Deploy a multi-agent system on Railway, each agent as a service"
category: "AI/ML"
url: https://railway.com/deploy/multi-agent-system
---

# Deploy Multi Agent System

Deploy a multi-agent system on Railway, each agent as a service

**[Deploy Multi Agent System on Railway](https://railway.com/template/multi-agent-system)**

- **Creator:** Railway Templates
- **Category:** AI/ML
- **Total deploys:** 2

## Template content

### multi-agent-system

- **Source:** railwayapp-templates/multi-agent-system

## Documentation

# Deploy and Host a Multi-Agent System on Railway

A multi-agent system uses multiple specialized AI agents that collaborate on tasks. Each agent has a specific role — researcher, writer, reviewer — and calls an LLM API to reason through its part of the work. Agents communicate by reading and writing shared state in a database and message queue.

## About Hosting a Multi-Agent System

Hosting a multi-agent system requires running multiple independent services that coordinate through shared infrastructure. Each agent runs as its own process, pulling tasks from a Redis queue, calling an LLM provider like OpenAI, and writing results to Postgres. An orchestrator service receives HTTP requests and dispatches work across agents. This template handles the full setup: a FastAPI orchestrator, two specialized agents (researcher and writer), PostgreSQL for task state, Redis for message passing, and a one-shot init service that creates the database schema automatically.

## Common Use Cases

- Research and content pipelines: a researcher agent gathers information, then a writer agent produces a finished article
- Multi-step reasoning workflows: chain specialized agents that each handle one part of a complex task
- Scalable async processing: add horizontal replicas to high-throughput agents while keeping others lightweight

## Dependencies for Multi-Agent System Hosting

- PostgreSQL for task state and agent outputs
- Redis for inter-agent message queues
- An OpenAI API key (or compatible LLM provider)

### Deployment Dependencies

- [OpenAI API keys](https://platform.openai.com/api-keys)
- [Railway guide: Deploy a Multi-Agent System](https://docs.railway.com/guides/multi-agent-system)

## Why Deploy a Multi-Agent System 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 a multi-agent system 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.

## Similar templates

- [Chat Chat](https://railway.com/deploy/-WWW5r) — Chat Chat, your own unified chat and search to AI platform.
- [stella](https://railway.com/deploy/stella) — Self-host stella with web, API, Postgres, Redis, and object storage.
- [Hermes Agent | OpenClaw Alternative with Dashboard](https://railway.com/deploy/hermes-agent-or-openclaw-alternative-wit) — Self-Hosted Hermes AI Agent for Telegram, Discord & Slack

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