Flowise - LangchainJS UI

Drag & drop UI to build your customized LLM flow using LangchainJS

⚡Quick Start

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
```
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:
```
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

DigitalOcean

💻 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.

KyleCe/Flowise