flowise

Flowise - Low-Code LLM apps builder

Drag & drop UI to build your customized LLM flow

⚡Quick Start

1. Install Flowise

   npm install -g flowise
   

2. Start Flowise

   npx flowise start
   

3. Open http://localhost:3000

🔒 Authentication

To enable app level authentication, add FLOWISE_USERNAME and FLOWISE_PASSWORD to the .env file:

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.