#Multi-Agent System

AgentVerse offers a flexible open-source framework for deploying LLM-based multi-agent systems, enabling task-solving and simulation in various fields such as software development and social behavior research. Engage with its community on Hugging Face for the latest updates on features and applications.

Explore a detailed repository of papers focused on Large Language Model (LLM)-based agents, featuring diverse topics like planning, feedback, memory systems, role and game playing, among others. The collection includes comprehensive surveys, innovative frameworks, and advances in multi-agent systems, providing essential insights for researchers and professionals. Regular updates ensure access to the latest research and developments. Also, discover additional curated paper lists for expanded perspectives on LLM-based autonomous and game agents, as well as self-correcting models.

LAMBDA is an innovative open-source system that simplifies data analysis by removing the need for coding and leveraging advanced model capabilities. The multi-agent framework includes roles such as the programmer and inspector, paired with a user-friendly interface and adaptable model integration for tailored data exploration. Automated report generation enhances focus on critical analysis tasks. Demonstrating strong performance on machine learning datasets, LAMBDA effectively combines human expertise with AI, revolutionizing data science practices. Explore its applications through demonstration videos.