Flowise on Render (SQLite + Disk)

Why deploy flowise on Render?

Flowise is a deployment template for running Flowise on Render's cloud platform using SQLite and persistent disk storage. It solves the problem of quickly self-hosting a visual LLM workflow builder without managing Docker Compose, reverse proxies, or backup scripts.

This template gives you Flowise with a persistent disk already mounted and configured for SQLite storage, encryption keys, and file uploads—no volume setup or path wiring required. One click replaces the Docker Compose scaffolding, disk provisioning, and TLS configuration you'd otherwise handle yourself. Render's automatic disk snapshots also mean your SQLite database and credentials are backed up without a custom script.

Architecture

What you can build

After deploying, you'll have a running Flowise instance where you can visually build and host LLM agents, RAG chatbots, and automation workflows without writing code. The setup includes persistent storage for your projects and credentials, so you can connect your own API keys for OpenAI, Anthropic, or other providers and start wiring together chatflows immediately. This is sized for single-team or personal use—if you need to scale horizontally, use the Postgres variant instead.

Key features

• Visual LLM workflow builder: Drag-and-drop editor for constructing LangChain agents, RAG pipelines, and multi-step LLM workflows without writing code.
• SQLite on persistent disk: Single-file database with automatic disk snapshots for backup, storing all chatflows, credentials, and uploads in /root/.flowise.
• Auto-generated encryption keys: Flowise creates and persists encryption keys, JWT secrets, and session secrets on disk automatically, requiring no manual secret configuration.
• MCP protocol support: Native Model Context Protocol integration allows testing and connecting to MCP servers you're building directly through the Flowise UI.
• Zero-config TLS and routing: Render provides automatic HTTPS, custom domain support, and a default *.onrender.com URL with no reverse proxy setup required.

Use cases

• Solo developer prototypes RAG chatbot for client demo
• DevOps engineer builds internal Slack bot for ticket triage
• Startup founder creates customer support agent without coding
• Backend dev tests MCP server integrations through visual UI

What's included

Next steps

1. Open the *.onrender.com URL from your dashboard and create your first admin account — You should see the Flowise login screen prompting you to set up a username and password, then land in the empty chatflow editor
2. Test the setup by creating a simple chatflow with a Chat OpenAI node and an LLM Chain — After adding your OpenAI API key and clicking the chat icon, you should get a response from the model in the built-in chat panel
3. Configure CORS_ORIGINS in your Render environment variables to lock down API access — After redeploying, requests from unlisted domains should return a CORS error while your allowed origins work normally

Resources

• Flowise official site