Explore how multiple AI agents collaborate, compete, and solve tasks using MetaGPT and multi-agent frameworks.

Today, multi-agent systems (MAS) have emerged as transformative technologies, driving innovation and efficiency across various industries. Comprising multiple autonomous agents working ...

Future advancements in multi-agent systems, reinforcement learning, and natural language processing will drive AI from a ...

Successful AI agents require enterprises to orchestrate interactions, manage shared knowledge and plan for failure.

Researchers said the work will support research in reinforcement learning approaches for developing collaborative multi-agent systems such as teams of robots that could work side-by-side with ...

AI agents are ... to work together in multi-agent systems. This collaboration is crucial for tackling complex tasks that require a diverse set of skills and continuous adaptation.

Multi-agent systems will advance in processing multi-modal data (text, images, video, audio) and tackling increasingly complex tasks. While AGI and fully autonomous systems are still on the ...

Amazon Web Services has released a multi-agent collaboration ... third-party agents". This approach enables seamless adaptation to new requirements and external system integrations, particularly ...