Flowise - Low-Code LLM apps builder
Drag & drop UI to build your customized LLM flow
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Quick Start
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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
Docker Compose
- Go to
docker
folder at the root of the project - Create
.env
file and specify thePORT
(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
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Flowise has 3 different modules in a single mono repository.
server
: Node backend to serve API logicsui
: React frontendcomponents
: 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
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Self Host
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Railway
Render
AWS
Azure
DigitalOcean
GCP
💻 Cloud Hosted
Coming soon
Support
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Feel free to ask any questions, raise problems, and request new features in discussion
Contributing
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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.