Multi-agent AI systems lose performance not because agents are weak, but because information evaporates at each handoff. NUS ...

We explore the challenges developers face with multi-agent orchestration and the strategies they use to overcome them.

Druid AI co-founder and COO Andreea Pleșea wrote her 2011 PhD on software agents that negotiated over bricks described ...

We just can’t seem to help ourselves. Our current infatuation with multi-agent systems risks mistaking a useful pattern for an inevitable future, just as we once did with microservices. Remember those ...

When I first started working with multi-agent collaboration (MAC) systems, they felt like something out of science fiction. It’s a group of autonomous digital entities that negotiate, share context, ...

Treat the LLM as a brain, not a source of facts. A practical guide to multi-agent LLM systems: prompts, orchestration, RAG, ...

Single agent vs multi-agent AI: Anthropic's Applied AI team finds one well-designed agent beats multi-agent pipelines on ...

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 ...

Researchers from Google and MIT published a paper describing a predictive framework for scaling multi-agent systems. The framework shows that there is a tool-coordination trade-off and it can be used ...

What if the very systems designed to transform problem-solving are quietly failing behind the scenes? Multi-agent AI, often hailed as the future of artificial intelligence, promises to tackle complex ...