The bottleneck in agentic computing isn’t a lack of orchestration; it is the orchestration itself. Building multi-agent ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. As the CTO of an AI-native email management startup, I've spent the past year building multi ...

MuleSoft said governance and integration remain key concerns as more AI agents are deployed across enterprises. Multi-agent ...

Most IT leaders (82%) believe that data integration is a big AI challenge. Agentic AI pioneers use 10% more software applications. IT leaders will spend 19% of their IT budgets on AI agents this year.

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Dany Lepage discusses the architectural ...

For too long, enterprises have failed to go beyond the view of AI as a product; an assistant that sits to the side, helping users complete tasks and delivering incremental productivity gains. This ...

OpenClaw and Hermes are two frameworks that, when integrated, can create a robust multi-agent system for managing complex workflows. OpenClaw, using models like Opus 46, specializes in ...

Multi-AI agents – multiple artificial intelligence agents working together in a shared environment – can be used to address persistent workflow challenges in clinical decision support, drawing from ...