AI多代理系统开源项目盘点:五大热门工具推荐

In the rapidly advancing wave of AI technology, numerous open-source projects offer developers robust functionalities and flexibility, particularly in the field of Multi-Agent Systems (MAS). Here are five of the most popular Agent projects (as of the highest GitHub Stars) that cover a range of choices from development platforms to frameworks, aiding developers in constructing intelligent applications more effectively.

### 1. langgenius/dify
**Dify** is an open-source LLM application development platform. Its intuitive interface combines AI workflows, RAG (Retrieval-Augmented Generation) pipelines, and intelligent agent features to facilitate the rapid development of applications based on large language models (LLM).

**Features:**
- Easy integration and customization
- Support for RAG processes and agent operations
- Strong scalability for various application scenarios

![Dify: Generative AI Application Development Platform, Visual Orchestration, Supports Private Deployment](https://www.qewen.com/wp-content/uploads/2025/01/1736240628-20250107090348-677cedf47f98d.png)

### 2. geekan/MetaGPT
MetaGPT is a multi-agent framework designed to advance natural language programming. It offers developers a new perspective by utilizing multiple intelligent agents to collaborate on tasks, enhancing the efficiency and operability of software development.

**Features:**
- Multi-agent architecture for collaborative work
- Support for natural language programming
- Aimed at AI software companies' development and applications

![MetaGPT: Multi-Agent Collaboration Framework, Building AI Software Development Teams for Natural Language Programming](https://www.qewen.com/wp-content/uploads/2025/01/1736240628-20250107090348-677cedf4eb3de.png)

### 3. langflow-ai/langflow
Langflow is a low-code application building tool designed specifically for RAG and multi-agent AI applications. Developed in Python, it supports integration with any model, API, or database, offering high flexibility.

**Features:**
- Support for RAG and multi-agent AI applications
- Low-code development to enhance productivity
- Model, API, and database agnostic, highly adaptable

![Langflow: Build Powerful AI Agents and Workflows with a Low-Code Tool](https://www.qewen.com/wp-content/uploads/2025/01/1736240629-20250107090349-677cedf594923.png)

### 4. All-Hands-AI/OpenHands
OpenHands aims to enable developers to write less code and create more innovative applications. By simplifying the development process, OpenHands makes the creation of AI applications more efficient and intuitive.

**Features:**
- The "less code, more innovation" philosophy
- Highly simplified development interface
- Rapid deployment for various AI solutions

![OpenHands](https://www.all-hands.dev/assets/product/product-slide-3.webp)

### 5. microsoft/autogen
Autogen is a programming framework released by Microsoft to support the development of agent AI. Through this framework, developers can easily create complex agent systems and conduct intelligent interactions.

**Features:**
- Programming framework for agent AI development
- Strong integration support
- Offers Discord community and office hours support to promote developer collaboration

![AutoGen Studio: User Interface for Multi-Agent System AutoGen](https://www.qewen.com/wp-content/uploads/2025/01/1736240630-20250107090350-677cedf61403b.png)

These projects are advancing the application and development of intelligent agents, and developers can choose the most suitable tools based on their needs to implement complex AI functionalities.

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