Flowise AI: Build Customized LLM Flow with Drag & Drop

Flowise AI is an open-source platform that helps you optimize your workflow and productivity using artificial intelligence. It analyzes your tasks, goals, habits, and preferences, and provides you with personalized suggestions and insights. Flowise helps you achieve more with less stress and distraction.

⚡Getting Started with Flowise AI

Download & Install NodeJS >= 18.15.0

1. Firstly,Install Flowise

   npm install -g flowise

2. Use this command to start Flowise AI

   npx flowise start

   Use the username & password

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

3. Open http://localhost:3000

🐳 Docker

Docker Compose

1. Navigate to docker directory at the project root
2. Create .env file and specify the PORT (refer to .env.example)
3. docker-compose up -d
4. Open http://localhost:3000
5. To stop the container, use docker-compose stop

Docker Image

1. Build the image locally:

   docker build --no-cache -t flowise .

2. Run the image:

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

3. Stop the image:

   docker stop flowise

👨‍💻 Developers

A single mono repository contains 3 modules of Flowise AI.

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

Prerequisite

• Install Yarn

  npm i -g yarn

Setup

1. Clone the repo using this command:

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

2. Go into the repository directory

   cd Flowise

3. Install all modules dependencies:

   yarn install

4. Build the code:

   yarn build

5. Start the application:

   yarn start

   Now, you can  access the application on http://localhost:3000

6. For development build:

   yarn dev

   The app will refresh itself on http://localhost:8080 whenever you modify the code.

🔒 Authentication

For app authentication, use FLOWISE_USERNAME and FLOWISE_PASSWORD to the .env file in packages/server:

FLOWISE_USERNAME=user
FLOWISE_PASSWORD=1234