Flowise - Low-Code LLM apps builder

Drag & drop UI to build your customized LLM flow

Quick Start

Download and Install NodeJS >= 18.15.0

Install Flowise

npm install -g flowise

Start Flowise

npx flowise start

With username & password

npx flowise start --FLOWISE_USERNAME=user --FLOWISE_PASSWORD=1234

Open http://localhost:3000

🐳 Docker

Docker Compose

Go to docker folder at the root of the project
Create .env file and specify the PORT (refer to .env.example)
docker-compose up -d
Open http://localhost:3000
You can bring the containers down by docker-compose stop

Docker Image

Build the image locally:

docker build --no-cache -t flowise .

Run image:

docker run -d --name flowise -p 3000:3000 flowise

Stop image:

docker stop flowise

Developers

Flowise has 3 different modules in a single mono repository.

server: Node backend to serve API logics
ui: React frontend
components: Langchain components

Prerequisite

Install Yarn v1

npm i -g yarn

Setup

Clone the repository

git clone https://github.com/FlowiseAI/Flowise.git

Go into repository folder

cd Flowise

Install all dependencies of all modules:

yarn install

Build all the code:

yarn build

Start the app:

yarn start

You can now access the app on http://localhost:3000

For development build:

Create .env file and specify the PORT (refer to .env.example) in packages/ui

Create .env file and specify the PORT (refer to .env.example) in packages/server

Run

yarn dev

Any code changes will reload the app automatically on http://localhost:8080

🔒 Authentication

To enable app level authentication, add FLOWISE_USERNAME and FLOWISE_PASSWORD to the .env file in packages/server:

FLOWISE_USERNAME=user
FLOWISE_PASSWORD=1234

Documentation

Flowise Docs

Self Host

Railway

Render

AWS

Azure

DigitalOcean

GCP

💻 Cloud Hosted

Coming soon

Support

Feel free to ask any questions, raise problems, and request new features in discussion

Contributing

See contributing guide. Reach out to us at Discord if you have any questions or issues.

📄 License

Source code in this repository is made available under the MIT License.

FlowiseAI/Flowise: Drag & drop UI to build your customized LLM flow