What if you could design a system where multiple specialized agents work together seamlessly, each tackling a specific task with precision and efficiency? This isn’t just a futuristic vision—it’s the ...

The biggest challenge to AI initiatives is the data they rely on. More powerful computing and higher-capacity storage at lower cost has created a flood of information, and not all of it is clean. It ...

What if your multi-agent system could communicate faster, use fewer resources, and still maintain seamless functionality? That’s the promise of handoffs in OpenAI’s Agents SDK—a feature that’s ...

As AI-assisted coding becomes more common, a new pattern is emerging: multi-agent workflows. A multi-agent workflow refers to using various AI agents in parallel for specific software development life ...

A multi-agent system divides work among multiple AI agents that coordinate, specialize, debate, or act in parallel. The ...

Varun is a Product management and AI leader, shaping the future of tech with strategic vision, AI platforms and agentic-AI experiences. Three weeks ago, I witnessed AI agents solving a complex ...

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 ...

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 ...

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 ...

Multi-agent systems need strong governance to align agents and drive ROI. Learn how to evaluate MAS vendors and deploy AI systems effectively.

One of the key challenges of current multi-agent AI systems is that they communicate by generating and sharing text sequences, which introduces latency, drives up token costs, and makes it difficult ...

Researchers at Google and MIT have conducted a comprehensive analysis of agentic systems and the dynamics between the number of agents, coordination structure, model capability, and task properties.