# Flowise

✨ Build AI/LLM Flows Visually ✨
An open-source tool to build and deploy LLM applications and AI agents visually

![](https://cdn.jsdelivr.net/gh/xiaoY233/PicList@main/public/assets/flowise.png)

![](https://img.shields.io/badge/Copyright-arch3rPro-ff9800?style=flat&logo=github&logoColor=white)

## Introduction

**Flowise** is an open-source visual tool that allows users to create custom LLM (Large Language Model) flows through a drag-and-drop interface. It simplifies the process of building AI applications without requiring deep coding knowledge to create complex AI workflows.

## Key Features:

- **Visual Flow Building**: Design and build LLM workflows through an intuitive drag-and-drop interface without writing complex code
- **Multiple Model Support**: Integration with various popular language models such as OpenAI, Anthropic, Google, and more
- **Component-Based Design**: Rich pre-built components including chat models, vector stores, memory systems, and more
- **API Generation**: Automatically generates API endpoints for created flows for easy integration with other applications
- **Custom Agents**: Build custom AI agents capable of performing specific tasks and solving complex problems
- **Vector Database Integration**: Support for multiple vector databases for efficient knowledge retrieval and management
- **Workflow Sharing**: Export and import workflow configurations for team collaboration and process sharing
- **Multiple Deployment Options**: Support for local deployment, Docker containerization, and cloud service deployment

## Use Cases:

- Building custom chatbots and virtual assistants
- Creating question-answering systems based on specific knowledge bases
- Developing automated document processing and analysis tools
- Designing intelligent customer service and support systems
- Implementing complex multi-step AI workflows
- Building AI agents capable of performing specific tasks

## Default Information

- Default username: None (Registration required for first use)
- Default access address: http://IP:3000
- Default data directory: ~/.flowise

## More Information

- [Official Website](https://flowiseai.com/)
- [Official Documentation](https://docs.flowiseai.com/)
- [GitHub Repository](https://github.com/FlowiseAI/Flowise)