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

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 https://localhost:3000

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 https://localhost:3000
5. You can bring the containers down by docker-compose stop

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

Flowise has 3 different modules in a single mono repository.

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

• Install Yarn

  npm i -g yarn

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 https://localhost:3000

6. For development build:

   yarn dev

   Any code changes will reload the app automatically on https://localhost:8080

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

FLOWISE_USERNAME=user
FLOWISE_PASSWORD=1234

Flowise Docs

Coming soon

Feel free to ask any questions, raise problems, and request new features in discussion

See contributing guide. Reach out to us at Discord if you have any questions or issues.

Source code in this repository is made available under the MIT License.