Deploy and Host LangBot on Railway

LangBot is an open-source, production-ready platform for building AI-powered messaging bots across Discord, Telegram, Slack, WeChat, LINE, QQ, and many other platforms. It supports multiple LLM providers, AI agents, RAG, plugins, and workflow integrations, all managed through an intuitive web dashboard.

About Hosting LangBot

Deploying LangBot on Railway lets you launch a production-ready AI bot platform in minutes without managing servers or infrastructure. Railway automatically provisions networking, HTTPS, persistent storage, and service orchestration while LangBot provides a powerful web dashboard for configuring bots, AI models, plugins, and messaging platforms. Connect OpenAI, Gemini, Claude, DeepSeek, Ollama, Dify, Coze, n8n, Langflow, and many more services to build intelligent chatbots for Discord, Telegram, Slack, WeChat, LINE, QQ, and other platforms. The Railway template includes all required services and networking, so no manual Docker or infrastructure setup is needed.

Demo

Explore the live demo before deploying your own instance.

Demo URL

https://demo.langbot.dev/

Email

demo@langbot.app

Password

langbot123456

Note: The public demo is shared by everyone. Do not enter sensitive information or API keys.

Common Use Cases

• Build AI assistants for Discord, Telegram, Slack, WeChat, QQ, LINE, and more.
• Connect LLMs like OpenAI, Gemini, Claude, DeepSeek, and Ollama to messaging platforms.
• Integrate AI agents with n8n, Dify, Coze, Langflow, and MCP workflows.
• Create AI-powered customer support, automation, and community management bots.
• Manage multiple bots and pipelines from a single web dashboard.

Dependencies for LangBot Hosting

The Railway template automatically deploys all required services.

You'll only need to configure:

• Your preferred LLM provider API key (OpenAI, Gemini, Claude, DeepSeek, etc.)
• Messaging platform credentials (Discord, Telegram, Slack, WeChat, etc.) if you plan to use them.

No additional Docker configuration or manual infrastructure setup is required.

Deployment Dependencies

• GitHub Repository: https://github.com/langbot-app/LangBot
• Official Documentation: https://docs.langbot.app/en/insight/guide
• Live Demo: https://demo.langbot.dev/

Configuration

After deployment:

• Visit the LangBot Web Dashboard.
• Complete the initial setup wizard.
• Add your preferred AI model provider.
• Connect your messaging platform(s).
• Install plugins and start building AI agents.

No environment variables are required before deployment. Everything can be configured from the web management dashboard after the application starts.

Why Deploy LangBot 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 LangBot 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.