Mindket

Flowise

Newversion 1 · updated

Overview

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 . Download it on this page, a zip of its files. Nothing in it runs by itself.

At a glance

You need
  • 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
Runs in
  • 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.
Start with
pip install -U huggingface_hub
hf download FlowiseAI/Flowise --repo-type space --local-dir Flowise
cd Flowise

Platform

WindowsOperating system
macOSOperating system
LinuxOperating system
DockerContainer

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.

IndustryWho uses itHow they use itExample
SoftwareDevelopersTry the app online before deciding to install itOpen the Space page in a browser
DevOpsEngineersBuild the image locally to see how it is packagedRun docker build in the downloaded folder
EducationStudentsStudy a minimal Docker SpaceRead 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 caseWhoWhat they get back
Try it onlineAnyone curiousWhatever the Flowise page offers
Study the packagingEngineersA short Dockerfile that builds the app
Run it locallyDevelopersThe 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.
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.

ToolWhat it does
hf downloadCopies the Space's files into a folder on your computer
docker buildBuilds the image from the Dockerfile
docker runStarts 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.

  1. You open the Space or build the image
  2. Docker starts the app on port 7860
  3. You open it in a browser
  4. 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 and files

README

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.

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.
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.

On Hugging Face, 13 November 2026

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

Links

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.

Files
README.md  4 KB

1 file, 4 KB, downloaded as a zip.

What’s new

  • Version 1 · 2026-11-12

Compare with similar

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

ProductLikesBuilt withLicenseLast change
Flowise This page132dockermit
Zero GPU SpacesShares docker985dockermit
KimodoShares docker340dockerapache-2.0
Harness LeaderboardShares docker323dockerapache-2.0
Multitrack Midi Music GeneratorShares docker130dockermit
MuseTalkDemoShares docker78dockercreativeml-openrail-m
Numbers as Mindket last read them, on 2026-11-12.

Reviews

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What people say

Posts and comments that name this project on Hacker News, Bluesky, X, Reddit, Facebook and YouTube, found by a weekly search and on Trendshift. Mindket doesn’t write or check them. Open one to read it where it was posted.

toomuchtodoFlowise is shutting downhttps://github.com/flowiseai/flowiseRad Web Hosting | radwebhosting.com🚀 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 #selfhosted4 likesneetsRAG Logger: An Open-Source Alternative to LangSmithThere is also LangFuse which has an integration with Flowise https://github.com/langfuse/langfuse https://github.com/FlowiseAI/FlowiseRad Web Hosting | radwebhosting.com🚀 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 #opensource3 likesricktdotorgWhat tool to use to generate AI workflow using UI?Flowise is pretty great. very ComfyUI-like. [0] https://github.com/FlowiseAI/FlowiseRad Web Hosting | radwebhosting.com🚀 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 #selfhosted3 likessmnscuShow HN: I made an app to use local AI as daily driverNice, 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…Rad Web Hosting | radwebhosting.com🚀 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 #selfhosted3 likestcpiplabAsk HN: What have you built with LLMs?I used FlowWise[1], LM Studio[2], the llama2[3] model, and Ollama[4] (for embeddings) to create a local-only RAG chatbot so I could chat directly with Tristram Shandy, Gentleman[5]. For the context document I used the text of the novel of the same name, downloaded from Project Gutenberg. Primarily…Rad Web Hosting | radwebhosting.com🚀 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 #selfhosted2 likesdenidomanShow HN: Rivet – open-source AI Agent dev env with real-world applicationsNice 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…STACKFLAGCVE-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

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