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2025-08-01 11:12:10 +08:00
# 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)