When using large language models, achieving stable performance usually only requires a good prompt and the right tools. However, dealing with many unique processes can become tricky. To address this, OpenAI published a blog post on their official website titled “Orchestrating Agents: Routines and Handoffs”, which introduces the concepts of Routines and Handoffs. The code … Read more
Swarm is an innovative open-source framework designed to explore the orchestration and coordination of multi-agent systems. Developed and maintained by the OpenAI Solutions team, it provides developers with a lightweight, ergonomic, and educational environment for learning and experimenting with agent-based systems. The core design goal of Swarm is to facilitate interaction among autonomous agents (i.e., … Read more
Introduction This article will introduce a research-oriented topic regarding the observability of Multi-Agent Systems. Currently, our work is primarily based on the Swarm project released by OpenAI last month, where we analyzed the source code of the Swarm project and customized modifications to achieve better observability of multi-agent systems. Today’s discussion will revolve around three … Read more
Content Source: https://cookbook.openai.com/examples/orchestrating_agents https://github.com/openai/swarm?tab=readme-ov-file AI Multi-agent Concept and Origins When using language models, achieving stable performance usually only requires a good prompt and the right tools. However, things can get tricky when dealing with many unique processes. Basic Concepts: 1.Routines: The concept of a routine is not strictly defined, but is intended to capture the … 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
With the rapid development of artificial intelligence technology, multi-agent systems have gradually become a new favorite for research and application. OpenAI’s Swarm tool undoubtedly injects strong momentum into this field. Today, I will share my insights on using Swarm to develop multi-agent applications, helping you easily master this revolutionary tool. 1. Introduction to OpenAI Swarm … 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
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
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