Deploy and Host Flowise + Postgres on Railway

Self-host Flowise for visual AI agents and LLM workflows with Postgres, persistent storage, generated credentials, and private networking.

About Hosting Flowise + Postgres on Railway

• flowise: public Flowise web service
• postgres: private Postgres database
• Persistent storage for uploads and credential key material
• Generated auth, session, and credential secrets
• No bundled model provider keys

Why Deploy Flowise + Postgres on Railway

The published template deploy test created the Flowise app and Postgres database, reached SUCCESS, served HTTP 200, and was cleaned up after validation. It uses Postgres instead of default SQLite so project metadata and workflow state survive redeploys.

Flowise has strong marketplace demand, but many users need a clean persistent database-backed variant rather than a demo setup.

Common Use Cases

• Visual AI agent builders
• LLM workflow prototypes
• Internal automation demos
• Teams testing Flowise before committing to a longer-term stack

Dependencies for Flowise + Postgres Hosting

Flowise depends on Postgres for durable app/workflow data, persistent local storage for uploads and credential material, generated auth secrets, and a deployer-provided model provider key.

Deployment Dependencies

• DATABASE_URL: private Postgres connection string
• FLOWISE_USERNAME: generated or deployer-provided username
• FLOWISE_PASSWORD: generated or deployer-provided password
• SECRETKEY_PATH: persistent credential key path
• Model provider keys: deployer-owned, not bundled

After Deploy

1. Open the Flowise public URL.
2. Sign in with the generated credentials.
3. Add model provider keys inside Flowise or as Railway variables.
4. Keep Flowise as one app instance unless storage and queue mode are redesigned for horizontal scale.

Support Checklist

If a deploy fails, include flowise and postgres deployment IDs, public URL behavior, and log lines mentioning Postgres, auth, or credential secret setup.