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
Recently, Microsoft Research released a paper discussing an innovative multi-agent collaboration framework: Magentic-One. It is a general-purpose agent system designed to efficiently handle complex workflows by coordinating multiple dedicated AI agents. The system architecture of Magnetic-One is as follows, where the red part represents the brain of the entire framework, the Orchestrator, responsible for task … Read more
MetaGPT is named after the “GPT-based Meta-Programming framework”, which means that MetaGPT is a meta-programming framework. It utilizes Standard Operating Procedures (SOP) to enhance the problem-solving capabilities of multi-agent systems based on large language models (LLMs). The framework simulates a virtual software team that includes roles such as product managers, architects, project managers, engineers, and … Read more
Hello everyone, I am Student Zhang. Continuous learning and continuous output of valuable content, follow me, and let’s learn AI large model technology together! Overview of Articles in the Official Account If you have any questions, feel free to add me on WeChat: jasper_8017. Looking forward to discussing and progressing together with like-minded friends! This … Read more
1 Content Overview Significant progress has been made in automating problem-solving through a group of agents based on large language models (LLMs). Existing LLM-based multi-agent systems can now handle simple conversational tasks. However, solutions for more complex tasks become complicated due to logical inconsistencies, which are caused by the cascading hallucinations that arise from directly … Read more
In the field of large models, LangChain and LangGraph are two frameworks that have attracted considerable attention. Both aim to help developers build applications using large language models (LLMs), but they differ significantly in design philosophy, architecture, functionality, and applicable scenarios. 1. Introduction to LangChain LangChain is a framework for developing applications powered by large … Read more
There are five ways to create multi-agents in Langgraph: Network: Each agent can communicate with all other agents, and all agents can decide which agent to call next. Supervisor: Each agent can communicate with a supervisor agent, which decides which agent to call next. Supervisor (tool-calling): This is a special case of the supervisor architecture … Read more
How to Add and Use Subgraphs Subgraphs allow the construction of complex systems with multiple components, each of which is a graph. A common use case for using subgraphs is building multi-agent systems. The main issue when adding subgraphs is how the parent graph and the subgraph communicate, i.e., how they pass state to each … Read more
Introduction The emergence of large language models (LLMs) has reshaped how AI systems interact with and interpret the world. Traditionally, single-agent architectures have been used to handle inputs, make decisions, and produce outputs. However, as AI systems scale to manage more complex, multi-step tasks, researchers and developers are increasingly turning to multi-agent systems and advanced … Read more
2025: The Year of AI Agents – Building Multi-Agent Systems with CrewAi and Gemini 1.5 As many experts predict, 2025 is gradually becoming the year of agent-based artificial intelligence. This emerging field is poised to redefine the way we interact with technology by introducing highly autonomous systems that can make decisions and execute complex tasks … Read more