The Microsoft AutoGen open-source framework Magentic-One CLI is designed for high-level planning, guiding other Agents, and tracking task progress. It features a layered architecture with multiple software interfaces to meet different scenario requirements. Using Magentic-One CLI Core Design Philosophy: The process is as follows: The operation of Magentic-One is based on a multi-Agent architecture, where … Read more
Hello everyone, I am Xuan Jie. Before we start the main content, let me promote myself a bit. The Spring Festival is approaching, to give back to the support of my fans, the “3-Day AI Agent Project Practical Live Training Camp” originally priced at 199 yuan, is now directly reduced to 19 yuan, and today … Read more
Course Introduction This course lasts about 2 hours and introduces multi-agent development based on Microsoft’s AutoGen framework, exploring a new world of large model applications. With the development of large models, generative AI is likely to become an important branch of future technology. AI Agents can make autonomous decisions, perceive changes in the environment, call … Read more
AutoGen is a multi-agent LLM framework released by Microsoft, designed to facilitate the creation of LLM applications by utilizing multiple agents that can interact with each other to handle tasks. These AutoGen agents can be customized according to specific needs, engage in conversations, and seamlessly integrate human participation. They adapt to various operational modes, including … Read more
As one of the earliest LLM application development frameworks alongside LangChain and LlamaIndex, Microsoft’s AutoGen has undergone a complete redesign and restructuring after a series of personnel changes last year, launching the completely revamped AutoGen 0.4 version (the previous version was 0.2), with the latest stable version 0.4.2 released in early 2025. You may have … Read more
—1— Top 5 Multi-Agent Frameworks In the era of AI large models, Multi-Agent technology is increasingly capturing the attention of major tech giants. With the launch of frameworks such as OpenAI’s Swarm and Microsoft’s Magentic-One, the development in this field has become more intricate. Choosing the most suitable Multi-Agent framework that meets the specific needs … Read more
Editor’s Note: The current development of AI technology is advancing rapidly, and multi-agent frameworks are emerging one after another. How to make the right choice among numerous frameworks such as AutoGen, LangGraph, CrewAI, etc. and find the one that truly suits your needs? The author of this article compares five major multi-agent AI frameworks and … Read more
Quick Overview:This article lists the pros and cons of five major multi-agent AI frameworks: AutoGen (Microsoft), LangGraph (LangChain), CrewAI, OpenAI Swarm (OpenAI), and Magentic-One (Microsoft), and explains which agent framework excels in different usage scenarios. Editor’s Note: The current development of AI technology is advancing rapidly, and multi-agent frameworks are emerging like mushrooms after rain. … Read more
In the current development frameworks for distributed AI systems, AutoGen led by Microsoft and phiData represent two different technical paths. Architectural Design Philosophy AutoGen adopts an event-driven distributed architecture, achieving decoupling and collaboration of complex tasks through dynamic Agent orchestration. Its core is a decentralized event bus that supports asynchronous message passing and state synchronization … Read more
Recommended Reading: Top 5 Frameworks for Building Multi-Agents and Their Usage How to Build a Universal LLM Agent 1. AutoGen (Microsoft)1.1 Features1.2 Limitations2. CrewAI2.1 Features2.2 Limitations3. LangGraph (LangChain)3.1 Features3.2 Limitations4. OpenAI Swarm4.1 Features4.2 Limitations5. Magentic-One (Microsoft)5.1 Features5.2 Limitations6. Framework Selection Recommendations This article provides a summary of the features and limitations of different Multi-Agent frameworks … Read more