Deploy and Host Langflow on Railway

Langflow is a visual builder for AI agents and LLM workflows: drag components onto a canvas, wire them together, test the flow in a playground, and publish it as an API endpoint. This template runs Langflow 1.11.4 with Postgres, a persistent volume, and an administrator account that is created for you at deploy time.

About Hosting Langflow

Langflow ships with browser authentication switched on, which means it refuses to start unless an administrator username and password are supplied before the first boot — the process raises ValueError: Username and password must be set and the worker exits. It also keeps uploaded files, its MCP configuration and its cache under /app/data, and stores flows, credentials and users in Postgres. This template supplies the credentials, mounts a volume at /app/data, connects to Postgres over Railway's private network rather than a public TCP proxy, and pins the image by digest because Langflow migrates its schema forward on every boot. The administrator password is re-applied on each boot, so redeploying the service is a working password reset — Langflow itself offers no other way to change it once the account exists.

Why Deploy Langflow 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 Langflow 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.

Common Use Cases

Build and iterate on RAG pipelines and multi-step agents on a shared canvas instead of in code.
Publish a finished flow as an HTTP endpoint for your own product or backend to call.
Give a team a hosted, password-protected workspace for prompt and agent experiments.

Dependencies for Langflow

A PostgreSQL database, included in this template.
A persistent volume for uploaded files and cached configuration.

Deployment Dependencies

Implementation Details

Sign in with the username admin and the generated LANGFLOW_SUPERUSER_PASSWORD shown in the service variables. Keep LANGFLOW_SECRET_KEY unchanged: it encrypts the API keys stored in your flows.