Chen Baoyang: AI Art Creation Based on Agents

Under the Ministry of Culture and Tourism of the People’s Republic of China Sponsored by the China Academy of Art 2025 No. 1 Issue, Total No. 254 Core Journal of Chinese Humanities and Social Sciences Journal AMI Comprehensive Evaluation (A Journal) Source Journal of the Chinese Social Sciences Citation Index (CSSCI) Extended Edition RCCSE Chinese … Read more

MetaGPT: A Revolutionary Framework for Software Development Based on Multi-Agent Systems

MetaGPT: A Revolutionary Framework for Software Development Based on Multi-Agent Systems

MetaGPT is a groundbreaking open-source project that simulates the complete operation process of a software company through a multi-agent system. The project has not only gained recognition in academia (ICLR 2024 oral presentation, top 1.2%) but also demonstrates strong practical application value. By organizing large language models (LLM) into different professional roles, MetaGPT can transform … Read more

What Is LangGraph and Its Applications in Agent Frameworks

What Is LangGraph and Its Applications in Agent Frameworks

1. What Is LangGraph Why Use LangGraph? Developing agents using frameworks like langchain involves significant development effort, lacks flexibility, and incurs high modification costs. Reducing development effort while increasing the flexibility of agents is a key point for promoting agents. LangGraph supports production-grade agents and is trusted by companies like Linkedin, Uber, Klarna, and GitLab. … Read more

Developer Guide to the CrewAI Agent Framework in Python

Developer Guide to the CrewAI Agent Framework in Python

Unlike traditional isolated single-agent systems, CrewAI introduces autonomous AI agents that can work collaboratively. Translated from Developer Guide to the CrewAI Agent Framework for Python, by Janakiram MSV. CrewAI is one of the most popular Python frameworks designed for intelligent multi-agent collaboration—transforming how developers handle complex AI workflows. Unlike traditionally standalone single-agent systems, CrewAI introduces … Read more

Multi AI Agent Systems with crewAI

Multi AI Agent Systems with crewAI

Learn from João Moura, the founder and CEO of crewAI, and explore the key components of multi-agent systems: Role Assignment: Assign dedicated roles to agents Memory: Provide agents with short-term, long-term, and shared memory Tools: Allocate pre-built and custom tools to each agent (e.g., tools for web searches) Focus: Decompose tasks, goals, and tools, and … Read more

Multi-Agent Collaboration Mechanism: A Review of Large Language Models

Multi-Agent Collaboration Mechanism: A Review of Large Language Models

Source: ZHUAN ZHI This article is approximately 6000 words long and suggests a reading time of 12 minutes. This article provides a comprehensive overview of collaboration in multi-agent systems and proposes a scalable framework to guide future research. With the latest advancements in large language models (LLMs), Agentic Artificial Intelligence (Agentic AI) has made significant … Read more

Three Agents Equal One GPT-4: A Collaborative Framework Based on Open Source Models

Three Agents Equal One GPT-4: A Collaborative Framework Based on Open Source Models

MLNLP community is a well-known machine learning and natural language processing community both domestically and internationally, covering NLP graduate students, university teachers, and researchers from enterprises. The Community’s Vision is to promote communication and progress between the academic and industrial fields of natural language processing and machine learning, especially for the progress of beginners. Reprinted … Read more

War or Peace? Multi-Agent System Simulation of World War Outbreak Based on Large Language Models

War or Peace? Multi-Agent System Simulation of World War Outbreak Based on Large Language Models

Introduction Can we avoid war at the crossroads of history? Individuals, scholars, policymakers, and organizations throughout human history have been pursuing this question. In the field of complex systems research, simulating the process of war through techniques such as wargaming and multi-agent simulation has been a long-standing topic. Especially driven by the transformative power of … Read more

Emergence of Social Norms in Multi-Agent Systems

Emergence of Social Norms in Multi-Agent Systems

Introduction How can agents be endowed with the ability to comply with social norms and allow social norms to spontaneously emerge in AI societies? Recently, a team led by Professor Wang Zhen from Northwestern Polytechnical University and researcher Hu Shuyue from the Shanghai Artificial Intelligence Laboratory proposed the first normative framework for multi-agent systems based … Read more

Research on the Construction and Application of Teaching Intelligent Agents Based on Large Models

Research on the Construction and Application of Teaching Intelligent Agents Based on Large Models

1. Introduction With the rapid evolution of generative artificial intelligence, multimodal large models increasingly demonstrate their advantages in multimodal content understanding and generation. Multimodal large models (hereinafter referred to as “large models”) refer to artificial intelligence models capable of processing and understanding various modalities of data inputs, including text, images, and audio-visual content. Artificial intelligence … Read more