A2A is an open, vendor-neutral protocol that allows diverse AI agents to seamlessly communicate, coordinate, and delegate work. The protocol shifts AI focus from a single monolithic agent to ...

The CVE Researcher is a multi-agent AI pipeline that automates vulnerability research, detection template generation, and exploitation analysis. Built on Google’s Agent Development Kit (ADK), it ...

While multi-agent AI systems sound great in theory and even practice, without trust mechanisms, these systems can fall apart fast.

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, ...

There are three critical areas where companies most often go wrong: data preparation and training, choosing tools and specialists and timing and planning.

A chatbot is still a chatbot. And that’s the problem. While GenAI has helped contact centers deliver better automated experiences, these gains are strictly incremental, not transformational. Customers ...

Rather than asking how AI agents can work for them, a key question in enterprise is now: Are agents playing well together? This makes orchestration across multi-agent systems and platforms a critical ...

Today's AI challenge is about agent coordination, context, and collaboration. How do you enable them to truly think together, with all the contextual understanding, negotiation, and shared purpose ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Cory Benfield discusses the evolution of ...

AI coding agents from OpenAI, Anthropic, and Google can now work on software projects for hours at a time, writing complete apps, running tests, and fixing bugs with human supervision. But these tools ...