Flowise

Drag & drop UI to build your customized LLM flow

⚡Quick Start

Download and Install NodeJS >= 18.15.0

1. Install Flowise

   npm install -g flowise

2. Start Flowise

   npx flowise start

   With username & password

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

3. Open http://localhost:3000

🐳 Docker

Docker Compose

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

Docker Image

1. Build the image locally:

   docker build --no-cache -t flowise .

2. Run image:

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

3. 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

1. Clone the repository

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

2. Go into repository folder

   cd Flowise

3. Install all dependencies of all modules:

   yarn install

4. Build all the code:

   yarn build

5. Start the app:

   yarn start

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

6. 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

🌱 Env Variables

Flowise support different environment variables to configure your instance. You can specify the following variables in the .env file inside packages/server folder.

Variable	Description	Type	Default
PORT	The HTTP port Flowise runs on	Number	3000
FLOWISE_USERNAME	Username to login	String
FLOWISE_PASSWORD	Password to login	String
DEBUG	Print logs from components	Boolean
LOG_PATH	Location where log files are stored	String	your-path/Flowise/logs
LOG_LEVEL	Different levels of logs	Enum String: error, info, verbose, debug	info
DATABASE_PATH	Location where database is saved	String	your-home-dir/.flowise
APIKEY_PATH	Location where api keys are saved	String	your-path/Flowise/packages/server
EXECUTION_MODE	Whether predictions run in their own process or the main process	Enum String: child, main	main

You can also specify the env variables when using npx. For example:

npx flowise start --PORT=3000 --DEBUG=true

📖 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.