---
title: "Deploy Bytebot"
description: "AI desktop agent that automates any computer task through natural language"
category: "AI/ML"
url: https://railway.com/deploy/bytebot
---

# Deploy Bytebot

AI desktop agent that automates any computer task through natural language

**[Deploy Bytebot on Railway](https://railway.com/template/bytebot)**

- **Creator:** Bytebot
- **Category:** AI/ML
- **Total deploys:** 3,333

## Template content

### bytebot-ui

- **Image:** ghcr.io/bytebot-ai/bytebot-ui:edge
- **Public domain:** Yes

### bytebot-agent

- **Image:** ghcr.io/bytebot-ai/bytebot-agent:edge

### Postgres https://devicons.railway.app/i/postgresql.svg

- **Image:** ghcr.io/railwayapp-templates/postgres-ssl:16

### bytebot-desktop

- **Image:** ghcr.io/bytebot-ai/bytebot-desktop:edge

## Documentation

# Deploy and Host Bytebot on Railway

## What is Bytebot?

[Bytebot](https://github.com/bytebot-ai/bytebot) is a self-hosted AI desktop agent that transforms how you interact with computers. By combining powerful AI with a containerized Linux desktop, Bytebot performs complex computer tasks. Think of it as your virtual employee that can actually use a computer – clicking, typing, browsing, and completing workflows just like a human would.

Check out the Bytebot docs [here](https://docs.bytebot.ai/introduction).

## About Hosting Bytebot

Bytebot consists of four integrated components working together:
<img alt="Bytebot Agent Architecture" src="https://mintlify.s3.us-west-1.amazonaws.com/bytebot/images/agent-architecture.png">

- **Bytebot Desktop**: Ubuntu 22.04 with XFCE4, pre-installed apps, and the automation daemon
- **AI Agent**: NestJS service that uses an LLM to plan and execute tasks
- **Postgres Database**: Persistent storage for the agent - task details, status, and metadata
- **Task Interface**: Next.js web app for creating and managing tasks

## Common Use Cases

Some example tasks you can delegate

- **Data Processing**: "Fill out this web form with the data from my CSV file"
- **Email Management**: "Check my email and summarize important messages"
- **Web Automation**: "Download all PDFs from this website and organize them by date"
- **Testing**: "Test our checkout flow and take screenshots of each step"
- **Invoice Processing**: "Download invoices from email, extract data, and update the accounting spreadsheet"
- **Data Entry**: "Transfer customer information from PDF forms into our CRM system"
- **Report Generation**: "Collect weekly metrics from different dashboards and compile the team report"
- **Account Management**: "Update user permissions across our various SaaS tools"
- **Document Processing**: "Download attachments from emails, rename them according to our convention, and file them"
- **Compliance Tasks**: "Verify all employee records are updated in both HR systems"

## Dependencies for Bytebot

### Deployment Dependencies

-  Anthropic API Key ([get one here](https://console.anthropic.com))

## Why Deploy Bytebot 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 Bytebot 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

Open this page in a browser: https://railway.com/deploy/bytebot