Drag & drop UI to build your customized LLM flow
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
docker
folder at the root of the project.env
file and specify the PORT
(refer to .env.example
)docker-compose up -d
docker-compose stop
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
Flowise has 3 different modules in a single mono repository.
server
: Node backend to serve API logicsui
: React frontendcomponents
: Langchain componentsnpm i -g yarn
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:
.env
file and specify the PORT
(refer to .env.example
) in packages/ui
.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
To enable app level authentication, add FLOWISE_USERNAME
and FLOWISE_PASSWORD
to the .env
file in packages/server
:
FLOWISE_USERNAME=user
FLOWISE_PASSWORD=1234
Coming soon
Feel free to ask any questions, raise problems, and request new features in discussion
See contributing guide. Reach out to us at Discord if you have any questions or issues.
Source code in this repository is made available under the MIT License.