—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
A deep comparison of agent orchestration using three different frameworks to build the same Agentic Finance App. Image generated by ChatGPT. Prompt: Multi-agent collaborative systems. Contents We Will Cover What is an Agent? A deep dive into how we define agents and how they differ from AI pipelines and standalone LLMs. Practical Examples Using Three … Read more
This edition of Baiyang Compilation Station presents an article by Yi Zhang published on Medium titled “Choosing the Right AI Agent Framework: LangGraph vs CrewAI vs OpenAI Swarm” (Choosing the Right AI Agent Framework: LangGraph vs CrewAI vs OpenAI Swarm). Autonomous agents powered by large language models (LLMs) have experienced ups and downs. From the … Read more
Pros and Cons of Popular Multi-Agent Orchestration Frameworks The topic of multi-agent systems in generative AI is heating up, with every major tech giant releasing some related frameworks. But which multi-agent framework should you choose? There are just too many options!! With OpenAI releasing Swarm and Microsoft’s Magentic-One, this field has become very crowded. Therefore, … 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
The topic of multi-AI agents in generative artificial intelligence is gaining momentum, with major tech giants releasing various frameworks around it. But which multi-AI agent framework should one choose? With OpenAI releasing Swarm and Microsoft’s Magentic-One, this field has become quite confusing. Therefore, to clear up any doubts, I will attempt to explain the main … Read more
Using Pydantic model as state Previously, we might have used TypedDict the most, but Pydantic model is also a great choice. Let’s see how this type can serve as the graph state. Input Validation from langgraph.graph import StateGraph, START, END from typing_extensions import TypedDict from pydantic import BaseModel # Overall state of the graph (this … Read more
LangGraph allows you to easily manage conversation memory in graphs. These operational guides demonstrate how to implement various strategies for this. Managing Conversation History One of the most common use cases for persistence is using it to track conversation history. It makes continuing conversations easier. However, as conversations get longer, this conversation history accumulates and … Read more