Flowise on Unbroker
Build AI agents and LLM workflows visually
Plan requirements
Template container services, databases and persistent volumes require Pro. Resource usage is billed separately. Review the configuration and pricing before deploying. View pricing
Deployment inputs
This template does not require input variables. Follow the setup instructions after deployment.
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
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Configuration and instructions from the public template repository. Check the application's license and complete the setup steps before using it in production.