Autonomous agents empowered by Large Language Models (LLMs) have undergone
significant improvements, enabling them to generalize across a broad spectrum of tasks.
However, in real-world scenarios, cooperation among individuals is often required to
enhance the efficiency and effectiveness of task accomplishment. Hence, inspired by human
group dynamics, we propose a multi-agent framework AgentVerse that can effectively
orchestrate a collaborative group of expert agents as a greater-than-the-sum-of-its-parts …

Autonomous agents empowered by Large Language Models (LLMs) have undergone
significant improvements, enabling them to generalize across a broad spectrum of tasks.
However, in real-world scenarios, cooperation among individuals is often required to
enhance the efficiency and effectiveness of task accomplishment. Hence, inspired by human
group dynamics, we propose a multi-agent framework AGENTVERSE that can
collaboratively and dynamically adjust its composition as a greater-than-the-sum-of-its-parts …