Self-host Flowise with Docker

Drag-and-drop builder for LLM chatbots, agents, and RAG flows, with an API for each flow. This page describes the Levelrail template for Flowise (AI). It deploys the services below as one Docker Compose app on your own server. Project site: https://docs.flowiseai.com. Recommended memory: about 1024 MiB.

Services, ports and volumes

Service	Image	Container ports	Volumes
`flowise`	`flowiseai/flowise:3.1.4`	3000	`flowise_data -> /root/.flowise`

Environment variables

Service	Variable	Value
`flowise`	`APIKEY_PATH`	Preset in the template
`flowise`	`BLOB_STORAGE_PATH`	Preset in the template
`flowise`	`DATABASE_PATH`	Preset in the template
`flowise`	`FLOWISE_PASSWORD`	Generated at deploy
`flowise`	`FLOWISE_USERNAME`	Preset in the template
`flowise`	`LOG_PATH`	Preset in the template
`flowise`	`PORT`	Preset in the template
`flowise`	`SECRETKEY_PATH`	Preset in the template

Passwords and keys marked as generated are created for you when the app is deployed and stored as secrets. Values are not shown here.

Deploy Flowise with Levelrail

In the dashboard, open Apps, choose New app, then Browse templates, and select Flowise. Review the Compose body and deploy. With the CLI:

levelrail-cli templates deploy flowise --name my-flowise

See the service template catalog for how templates work, and Getting started if you have not installed Levelrail yet.

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Self-host Flowise with Docker

Services, ports and volumes

Environment variables

Deploy Flowise with Levelrail

More AI templates

​Services, ports and volumes

​Environment variables

​Deploy Flowise with Levelrail

​More AI templates

Services, ports and volumes

Environment variables

Deploy Flowise with Levelrail

More AI templates