# Flowise on Unbroker

Build AI agents and LLM workflows visually

Canonical URL: https://unbroker.cloud/templates/flowise
Catalog revision: c4e9e9b65202d3133ced7e02671e3867a1c86d27

[Deploy Flowise](https://app.unbroker.cloud/apps?template=flowise)

[Template source](https://github.com/unbroker-app/unbroker-cloud-templates/tree/c4e9e9b65202d3133ced7e02671e3867a1c86d27/templates/flowise)

## Plan requirements

Template container services, databases and persistent volumes require Pro. Resource usage is billed separately. Review the configuration and pricing before deploying.

[Pricing](https://unbroker.cloud/pricing)

## Deployment inputs

This template does not require input variables. Follow the setup instructions after deployment.

## Deploy button

Add this to a README or website. It opens this template's deploy form in Unbroker Cloud.

```markdown
[![Deploy on Unbroker](https://unbroker.cloud/button.svg)](https://app.unbroker.cloud/apps?template=flowise)
```

Build AI agents, chatbots and RAG pipelines with drag-and-drop nodes for every
major LLM, vector store and tool, then call them over an API or embed them on a
site.

## What gets deployed

| Service | Image | Notes |
|---|---|---|
| **Flowise** | `flowiseai/flowise:3.1.4` | Public. 1 GiB volume for uploaded documents and logs |
| **db** | PostgreSQL 16 | Internal. Chatflows, credentials and users |

The secrets Flowise uses to sign sessions and encrypt stored API keys are
generated for you.

## After deploy

Open the URL and create the **admin account**. The first visitor gets it.
Then add your model provider's API key under **Credentials**.

## Notes

On this release a few node types (the ReAct agent nodes and AWS Bedrock) fail to
load because of upstream packaging issues. Every other node works.

## Service configuration

- **db**: postgres. Private service. 1 GiB persistent storage.
- **Flowise**: flowiseai/flowise:3.1.4. Public URL. 1 GiB persistent storage.

## Project links

- [Website](https://flowiseai.com)
- [Source code](https://github.com/FlowiseAI/Flowise)
- [Documentation](https://docs.flowiseai.com)

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