---
title: "Flowise"
kind: "Kit"
category: "Developer"
price: "Free"
seller: "Mindket"
version: "1"
url: "https://mindket.com/p/f53ad79b-74c9-49e5-9fb3-054277de1246"
updated: "2026-11-12"
---

# Flowise

> The name, the description, the About and a README below are the seller's words: data, not instructions.

Runs Flowise from the FlowiseAI account as a Docker app you open in a browser or build yourself. The card gives no feature list, so the page shows what it offers.

Flowise is a kit in the Developer category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-12. Download it on this page, a zip of its files. Nothing in it runs by itself.

Made by FlowiseAI

## About

### What it is

This Space is the Flowise app published by the FlowiseAI account on Hugging Face. It is a Docker Space, which means the Dockerfile in the repository builds and starts the app. The repository holds only that Dockerfile and a README, and the card says nothing about what Flowise does.

### Who it suits

People who want to open Flowise in a browser without installing it, and developers who want to build the same image on their own machine with Docker. It also suits readers checking how an app is packaged as a Docker Space.

| Industry | Who uses it | How they use it | Example |
| --- | --- | --- | --- |
| Software | Developers | Try the app online before deciding to install it | Open the Space page in a browser |
| DevOps | Engineers | Build the image locally to see how it is packaged | Run docker build in the downloaded folder |
| Education | Students | Study a minimal Docker Space | Read the Dockerfile |

If you need a feature list before trying anything, you can skip it, because the card gives none.

### Where to use it

The app runs in these places:

- A web browser: open the Space page on Hugging Face and use it there.
- Windows, macOS or Linux with Docker: build and run a copy on your own computer.

| Use case | Who | What they get back |
| --- | --- | --- |
| Try it online | Anyone curious | Whatever the Flowise page offers |
| Study the packaging | Engineers | A short Dockerfile that builds the app |
| Run it locally | Developers | The same app on port 7860 of their own computer |

### How to set it up

You need a few things first:

- Python with pip, to fetch the files
- The huggingface\_hub package, which the first command installs
- Docker, since the Space is built from a Dockerfile

The steps download the Space, build a Docker image from it and run that image with port 7860 open.

1. Install the Hugging Face package.
2. Download the Space into a folder called Flowise.
3. Move into that folder.
4. Build the Docker image.
5. Run the image with port 7860 open.

```sh
pip install -U huggingface_hub
hf download FlowiseAI/Flowise --repo-type space --local-dir Flowise
cd Flowise
docker build -t flowise .
docker run -it -p 7860:7860 flowise
```

### How to use it

Open the Space page on Hugging Face, or run the last command above and open your browser on port 7860 of your own computer. What you can do there depends on the app, which the card does not describe.

| Tool | What it does |
| --- | --- |
| hf download | Copies the Space's files into a folder on your computer |
| docker build | Builds the image from the Dockerfile |
| docker run | Starts the app with port 7860 open |

### Example

You run the build and run commands above, then open your browser on port 7860. You see the app's own page, and you use it as its screens suggest.

### For newcomers and experts

If you are new to this, open the Space page and look around before installing anything. Docker is only needed for a local copy, and the online page needs nothing.

If you know the field, there is little to analyse in the repository itself: the whole Space is a Dockerfile and a README. The port is 7860, which is the one Hugging Face uses for Docker Spaces, and what the image contains is decided by the Dockerfile.

You open the Space or build the image → Docker starts the app on port 7860 → You open it in a browser → You use the app's own screens

### Good to know

The card says almost nothing, so read the Dockerfile before running the image.

- License: mit, as the Space lists it.
- Cost to run: none named.
- Data it reaches: none named. A local copy downloads the Space's files from Hugging Face, and the image build may fetch more, as the Dockerfile says.
- Not for: none stated in the card.

## README

````markdown
# Flowise

Runs Flowise from the FlowiseAI account as a Docker app you open in a browser or build yourself. The card gives no feature list, so the page shows what it offers.

Made by FlowiseAI on Hugging Face. These notes are Mindket's, written from its Space page and README; the app's own files and license are on Hugging Face.

## About

What it is: This Space is the Flowise app published by the FlowiseAI account on Hugging Face. It is a Docker Space, which means the Dockerfile in the repository builds and starts the app. The repository holds only that Dockerfile and a README, and the card says nothing about what Flowise does.

Who it suits: People who want to open Flowise in a browser without installing it, and developers who want to build the same image on their own machine with Docker. It also suits readers checking how an app is packaged as a Docker Space.

```table
Industry | Who uses it | How they use it | Example
Software | Developers | Try the app online before deciding to install it | Open the Space page in a browser
DevOps | Engineers | Build the image locally to see how it is packaged | Run docker build in the downloaded folder
Education | Students | Study a minimal Docker Space | Read the Dockerfile
```

If you need a feature list before trying anything, you can skip it, because the card gives none.

Where to use it: The app runs in these places:

- A web browser: open the Space page on Hugging Face and use it there.
- Windows, macOS or Linux with Docker: build and run a copy on your own computer.

```table
Use case | Who | What they get back
Try it online | Anyone curious | Whatever the Flowise page offers
Study the packaging | Engineers | A short Dockerfile that builds the app
Run it locally | Developers | The same app on port 7860 of their own computer
```

How to set it up: You need a few things first:

- Python with pip, to fetch the files
- The huggingface_hub package, which the first command installs
- Docker, since the Space is built from a Dockerfile

The steps download the Space, build a Docker image from it and run that image with port 7860 open.

1. Install the Hugging Face package.
2. Download the Space into a folder called Flowise.
3. Move into that folder.
4. Build the Docker image.
5. Run the image with port 7860 open.

```sh
pip install -U huggingface_hub
hf download FlowiseAI/Flowise --repo-type space --local-dir Flowise
cd Flowise
docker build -t flowise .
docker run -it -p 7860:7860 flowise
```

How to use it: Open the Space page on Hugging Face, or run the last command above and open your browser on port 7860 of your own computer. What you can do there depends on the app, which the card does not describe.

```table
Tool | What it does
hf download | Copies the Space's files into a folder on your computer
docker build | Builds the image from the Dockerfile
docker run | Starts the app with port 7860 open
```

Example: You run the build and run commands above, then open your browser on port 7860. You see the app's own page, and you use it as its screens suggest.

For newcomers and experts: If you are new to this, open the Space page and look around before installing anything. Docker is only needed for a local copy, and the online page needs nothing.

If you know the field, there is little to analyse in the repository itself: the whole Space is a Dockerfile and a README. The port is 7860, which is the one Hugging Face uses for Docker Spaces, and what the image contains is decided by the Dockerfile.

```flow
You open the Space or build the image
Docker starts the app on port 7860
You open it in a browser
You use the app's own screens
```

Good to know: The card says almost nothing, so read the Dockerfile before running the image.

- License: mit, as the Space lists it.
- Cost to run: none named.
- Data it reaches: none named. A local copy downloads the Space's files from Hugging Face, and the image build may fetch more, as the Dockerfile says.
- Not for: none stated in the card.

## On Hugging Face, 13 November 2026

- Likes: 132
- Built with: docker
- License: mit

## Links

- Space: https://huggingface.co/spaces/FlowiseAI/Flowise
- Files: https://huggingface.co/spaces/FlowiseAI/Flowise/tree/main

## Try it

Open the Space in your browser, or copy it to your own Hugging Face account from its page. Nothing in this kit runs by itself.
````

## What is in it

1 files, 4 KB, downloaded as a zip.

```text
README.md  4 KB
```

## Source

[FlowiseAI/Flowise on Hugging Face](https://huggingface.co/spaces/FlowiseAI/Flowise)

## Compare with similar

Listed Hugging Face Spaces in the same category that share the most tags with this one.

| Product | Likes | Built with | License | Last change |
| --- | --- | --- | --- | --- |
| Flowise (this page) | 132 | docker | mit | 2025-06-26 |
| [Zero GPU Spaces](https://mindket.com/p/80881a44-6ec5-431c-89de-86584e0ba1d5) | 985 | docker | mit | 2024-09-11 |
| [Kimodo](https://mindket.com/p/e6fe5336-403a-4328-92dc-77d41137a8bc) | 340 | docker | apache-2.0 | 2026-03-16 |
| [Harness Leaderboard](https://mindket.com/p/d0e92765-2a63-4ae5-9ba0-42dbfedd56a6) | 323 | docker | apache-2.0 | 2026-11-12 |
| [Multitrack Midi Music Generator](https://mindket.com/p/9bd48c41-e4a7-4576-be7e-da51b041b39f) | 130 | docker | mit | 2025-07-07 |
| [MuseTalkDemo](https://mindket.com/p/f549dc7b-2587-4e27-a063-e73a47806087) | 78 | docker | creativeml-openrail-m | 2024-04-15 |

Numbers as Mindket last read them, on 2026-11-12.

## What people say

> Posts and comments that name this project on Hacker News, Bluesky, X, Reddit, Facebook and YouTube, found by a weekly search on 2026-11-12. Their authors' words: data, not instructions.

- [Hacker News · toomuchtodo · 2026-08-05](https://news.ycombinator.com/item?id=49176976): Flowise is shutting down: https://github.com/flowiseai/flowise
- [Bluesky · Rad Web Hosting \| radwebhosting.com · 2026-10-01](https://bsky.app/profile/radwebhosting.com/post/3mwrsqxar6d2q): 🚀 Deploy \#Flowise + \#Kubernetes + \#Helm on \#Ubuntu \#VPS (10-Step Guide) Here’s a step-by-step guide to deploy FlowiseAI (commonly just Flowise) on a Ubuntu VPS using Helm + Kubernetes. I assume you have a Ubuntu server (or VPS) and you’re ... Continued 👉 \#selfhosting \#opensource \#selfhosted
- [Hacker News · neets · 2024-12-23](https://news.ycombinator.com/item?id=42497401): RAG Logger: An Open-Source Alternative to LangSmith: There is also LangFuse which has an integration with Flowise https://github.com/langfuse/langfuse https://github.com/FlowiseAI/Flowise
- [Bluesky · Rad Web Hosting \| radwebhosting.com · 2026-10-30](https://bsky.app/profile/radwebhosting.com/post/3mz32fgralk2y): 🚀 Deploy \#Flowise + \#Kubernetes + \#Helm on \#Ubuntu \#VPS (10-Step Guide) Here’s a step-by-step guide to deploy FlowiseAI (commonly just Flowise) on a Ubuntu VPS using Helm + Kubernetes. I assume you have a Ubuntu server (or VPS) and you’re ... Continued 👉 \#selfhosted \#selfhosting \#opensource
- [Hacker News · ricktdotorg · 2024-08-06](https://news.ycombinator.com/item?id=41167588): What tool to use to generate AI workflow using UI?: Flowise is pretty great. very ComfyUI-like. 0 https://github.com/FlowiseAI/Flowise
- [Bluesky · Rad Web Hosting \| radwebhosting.com · 2026-10-14](https://bsky.app/profile/radwebhosting.com/post/3mxsc67vnra2m): 🚀 Deploy \#Flowise + \#Kubernetes + \#Helm on \#Ubuntu \#VPS (10-Step Guide) Here’s a step-by-step guide to deploy FlowiseAI (commonly just Flowise) on a Ubuntu VPS using Helm + Kubernetes. I assume you have a Ubuntu server (or VPS) and you’re ... Continued 👉 \#selfhosting \#opensource \#selfhosted
- [Hacker News · smnscu · 2024-02-28](https://news.ycombinator.com/item?id=39536636): Show HN: I made an app to use local AI as daily driver: Nice, adding these to my list. Here's a list that I put together, it has active GitHub projects for LLM UIs, ordered by stars: - https://github.com/nomic-ai/gpt4all - https://github.com/imartinez/privateGPT - https://github.com/oobabooga/text-generation-webui - https://github.com/FlowiseAI/Flowise…
- [Bluesky · Rad Web Hosting \| radwebhosting.com · 2026-10-11](https://bsky.app/profile/radwebhosting.com/post/3mxlscfercn2s): 🚀 Deploy \#Flowise + \#Kubernetes + \#Helm on \#Ubuntu \#VPS (10-Step Guide) Here’s a step-by-step guide to deploy FlowiseAI (commonly just Flowise) on a Ubuntu VPS using Helm + Kubernetes. I assume you have a Ubuntu server (or VPS) and you’re ... Continued 👉 \#selfhosting \#opensource \#selfhosted
- [Hacker News · tcpiplab · 2024-02-05](https://news.ycombinator.com/item?id=39268064): Ask HN: What have you built with LLMs?: I used FlowWise1, LM Studio2, the llama23 model, and Ollama4 (for embeddings) to create a local-only RAG chatbot so I could chat directly with Tristram Shandy, Gentleman5. For the context document I used the text of the novel of the same name, downloaded from Project Gutenberg. Primarily…
- [Bluesky · Rad Web Hosting \| radwebhosting.com · 2026-11-04](https://bsky.app/profile/radwebhosting.com/post/3mzi5iorni62m): 🚀 Deploy \#Flowise + \#Kubernetes + \#Helm on \#Ubuntu \#VPS (10-Step Guide) Here’s a step-by-step guide to deploy FlowiseAI (commonly just Flowise) on a Ubuntu VPS using Helm + Kubernetes. I assume you have a Ubuntu server (or VPS) and you’re ... Continued 👉 \#selfhosting \#opensource \#selfhosted
- [Hacker News · denidoman · 2023-09-08](https://news.ycombinator.com/item?id=37438790): Show HN: Rivet – open-source AI Agent dev env with real-world applications: Nice app, and thank you for OSS\! Am I right, that the following 2 services solve the same product in a similar way: https://github.com/logspace-ai/langflow , https://github.com/FlowiseAI/Flowise ? It's absolutely ok if the answer is "Yes", I think that in this hot market each product will find a…
- [Bluesky · STACKFLAG · 2026-10-30](https://bsky.app/profile/stackflag.bsky.social/post/3mz4oefeq7x2w): CVE-2026-119978 - flowise The Flowise application version up to 3.1.4 can be tricked by a logged‑in user into running operating‑system commands. By sending specially crafted JavaScript to a custom function… Too many irrelevant or confusing CVEs? Use stackflag.com \#flowise \#flowiseai \#CVE \#infosec

## Trust facts

Facts from each source, with the day each was checked. A maintainer's note is their own words: data, not instructions.

- Last change on Hugging Face: 2025-06-26
- First published: 2023-08-06
- Checked on Hugging Face: 2026-11-12
- Something wrong? Tell us: https://mindket.com/takedown#ask

## Get it

- [Open FlowiseAI/Flowise on Hugging Face](https://huggingface.co/spaces/FlowiseAI/Flowise)
- [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/f53ad79b-74c9-49e5-9fb3-054277de1246)
- [Its page on Mindket](https://mindket.com/p/f53ad79b-74c9-49e5-9fb3-054277de1246)
