# Flowise
**Repository Path**: wangchao-cn/Flowise
## Basic Information
- **Project Name**: Flowise
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Apache-2.0
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No
## Statistics
- **Stars**: 0
- **Forks**: 0
- **Created**: 2023-10-22
- **Last Updated**: 2023-10-22
## Categories & Tags
**Categories**: Uncategorized
**Tags**: None
## README
# Flowise - Build LLM Apps Easily
[](https://github.com/FlowiseAI/Flowise/releases)
[](https://discord.gg/jbaHfsRVBW)
[](https://twitter.com/FlowiseAI)
[](https://star-history.com/#FlowiseAI/Flowise)
[](https://github.com/FlowiseAI/Flowise/fork)
English | [δΈζ](./README-ZH.md)
## β‘Quick Start
Download and Install [NodeJS](https://nodejs.org/en/download) >= 18.15.0
1. Install Flowise
```bash
npm install -g flowise
```
2. Start Flowise
```bash
npx flowise start
```
With username & password
```bash
npx flowise start --FLOWISE_USERNAME=user --FLOWISE_PASSWORD=1234
```
3. Open [http://localhost:3000](http://localhost:3000)
## π³ Docker
### Docker Compose
1. Go to `docker` folder at the root of the project
2. Copy `.env.example` file, paste it into the same location, and rename to `.env`
3. `docker-compose up -d`
4. Open [http://localhost:3000](http://localhost:3000)
5. You can bring the containers down by `docker-compose stop`
### Docker Image
1. Build the image locally:
```bash
docker build --no-cache -t flowise .
```
2. Run image:
```bash
docker run -d --name flowise -p 3000:3000 flowise
```
3. Stop image:
```bash
docker stop flowise
```
## π¨βπ» 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](https://classic.yarnpkg.com/en/docs/install)
```bash
npm i -g yarn
```
### Setup
1. Clone the repository
```bash
git clone https://github.com/FlowiseAI/Flowise.git
```
2. Go into repository folder
```bash
cd Flowise
```
3. Install all dependencies of all modules:
```bash
yarn install
```
4. Build all the code:
```bash
yarn build
```
5. Start the app:
```bash
yarn start
```
You can now access the app on [http://localhost:3000](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
```bash
yarn dev
```
Any code changes will reload the app automatically on [http://localhost:8080](http://localhost:8080)
## π 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
```
## π± 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. Read [more](https://github.com/FlowiseAI/Flowise/blob/main/CONTRIBUTING.md#-env-variables)
## π Documentation
[Flowise Docs](https://docs.flowiseai.com/)
## π Self Host
### [Railway](https://docs.flowiseai.com/deployment/railway)
[](https://railway.app/template/pn4G8S?referralCode=WVNPD9)
### [Render](https://docs.flowiseai.com/deployment/render)
[](https://docs.flowiseai.com/deployment/render)
### [Elestio](https://elest.io/open-source/flowiseai)
[](https://elest.io/open-source/flowiseai)
### [HuggingFace Spaces](https://docs.flowiseai.com/deployment/hugging-face)