Google recently published a guide outlining eight essential design patterns for multi-agent systems, ranging from sequential pipelines to human-in-the-loop architecture. The guide provides concrete ...

The next major evolution will come from multi-agent systems—networks of smaller, specialized AI models that coordinate across ...

The governance challenge is intensifying as digital systems increasingly optimize for machine consumption rather than human ...

Model Context Protocol (MCP), a new open standard that defines how AI systems connect to data and tools, helps solve the ...

UiPath Chief Marketing Officer Michael Atalla argues that enterprises aren’t moving toward agent-only automation, but toward ...

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 ...

What if the key to building AI systems that are not only powerful but also trustworthy lies in a set of repeatable design principles? As artificial intelligence continues to shape industries and ...

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 ...

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 ...

SpaceX launched a pair of Falcon 9 vehicles carrying Starlink satellites on the night of Nov. 14-15, scheduling the launches to work around temporary FAA restrictions. Credit: SpaceX Space missions ...

In the new AI era, context or local team knowledge is the real raw material. Multi player AI will be the colleague that helps ...

Anthropic launched Cowork, bringing the autonomous capabilities of its developer-focused Claude Code tool to non-technical ...