Deploy and Host Langflow on Railway

Langflow is a visual builder for AI agents and retrieval-augmented workflows. You drag components onto a canvas, connect them, and run or expose the result as an API.

About Hosting Langflow

This template runs the official langflowai/langflow:latest image with a persistent volume at /app/data, so flows, the local SQLite database and settings survive redeploys. No separate database service is needed. A random admin password and a secret key are generated for you. Open the service's Variables tab in Railway to read LANGFLOW_SUPERUSER_PASSWORD, then sign in with the username langflow and that password. Add your model provider API keys inside Langflow when you build a flow.

Common Use Cases

Prototype and ship LLM agents and RAG pipelines without writing glue code
Expose flows as REST endpoints for your apps
Share a team workspace for experimenting with prompts, tools and vector stores

Dependencies for Langflow Hosting

One service with a volume; nothing else
API keys for the model providers you use, added in Langflow

Deployment Dependencies

Why Deploy Langflow on Railway?

Railway gives you a public HTTPS URL, a persistent volume and automatic restarts with no server to maintain. After the deploy, read the generated password from the Variables tab and sign in.