Flowise - UI for LangChain

[necrevistonnezr]

(Thanks for posting screenshots as well since Twitter is now login-walled… )

[shrey]

Would love to be able to use Flowise within Cloudron!

[marcusquinn]

I think this is a safe bet for packaging, seems to be the market leader for AI integrations, and doesn't do anything AI itself, so no GPU needs.

[taowang]

When can we have Flowise? This tool is great!

[taowang]

this is the docker file: https://docs.flowiseai.com/configuration/deployment/hugging-face

[marcusquinn]

Flowise would be a good strategic win, as they are well funded, and AI tool agnostic.

[umnz]

Another +1 for Flowise. Would really like to see this added since it is more of an orchestrator that supports local or remote APIs.

[toja]

+1 getting this to Cloudron. I'm having to host it on elestio currently. It is pretty awesome.

[robi]

It seems they've simplified the install quite a bit - https://github.com/FlowiseAI/Flowise/blob/main/Dockerfile

Their new 3.0 has capabilities that eclipse n8n in state awareness across nodes and simplification.

node app with chromium-browser needed for packaging.
https://github.com/FlowiseAI/Flowise/blob/main/Dockerfile

[Lealda]

A small suggestion for formatting your wish list:

---

## **Title**: Flowise on Cloudron - Build AI Agents Visually

***

* **Main Page**: https://flowiseai.com
* **Git**: https://github.com/FlowiseAI/Flowise
* **Licence**: Apache License Version 2.0
* **Dockerfile**: Yes
* **Demo**: https://flowiseai.com (Free tier available with 2 flows)

***

* **Summary**: Flowise is an open-source generative AI development platform that enables building AI agents and LLM (Large Language Model) applications visually, without coding. The tool offers a drag-and-drop interface to create custom workflows, integration with various LLM providers (OpenAI, Anthropic, Azure, etc.), RAG (Retrieval-Augmented Generation) support, conversational memory management, and multi-tool agent capabilities. It features a modular architecture with Node.js backend, React frontend, and third-party integration components.

***

* **Notes**: Flowise is an excellent alternative for those looking to implement AI solutions without complex programming. It offers advanced features such as Document Stores, vector databases (Pinecone, Qdrant, Chroma, etc.), response streaming, and monitoring with OpenTelemetry/Prometheus/Grafana. Supports deployment via Docker, Docker Compose, and includes Redis queue configuration for scalability. The community is active with over 21 contributors to the main repository. Concerns include managing credentials for external APIs and the need for proper storage configuration for data persistence.

***

* **Alternative to / Libhunt link**: https://www.libhunt.com/r/Flowise

* **Screenshots**: 
  - Official logo: https://github.com/FlowiseAI/Flowise/blob/main/images/flowise.png
  - Demo GIF: https://github.com/FlowiseAI/Flowise/blob/main/images/flowise_agentflow.gif
  - Additional screenshots available in the GitHub repository and official documentation

***

**Additional Technical Information:**
- Default port: 3000
- Supports SQLite, MySQL, PostgreSQL as database
- Storage: Local, AWS S3, Google Cloud Storage
- Requires Node.js 18.15.0 or higher
- Available on Docker Hub as official image