For most people, the future of artificial intelligence still looks like a single assistant that can handle anything. I ...

Why multi-agent matters: Coordinated AI agents can handle complex, long-running tasks more effectively than single models, shifting development toward team-like agent collaboration. Memory as a ...

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 ...

SAP and Google Cloud have announced a partnership focused on AI agents working between their systems. The update that ...

As agentic AI became the norm, many companies treated control as something to work out later, but these agents have ...

The naming choice for Anthropic's latest update is yet another instance of the company humanizing its products.

XMPro named as a Sample Vendor for Agentic AI category Gartner describes as “highly autonomous, deeply specialized, and ...

Success with agents starts with embedding them in workflows, not letting them run amok. Context, skills, models, and tools are key. There’s more. Everyone is building “agents,” but there is a large ...

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 ...

Multi-agent orchestration makes workflow more inspectable, with clear handoffs and a QA backstop. Breaking the work into discrete steps makes the output easier to audit and fix. A timestamped handoff ...