Git-native, multi-model AI agent framework giving Fortune 50/100 CIOs a central control plane, converting any agent ...

But in practice, prompt iteration has historically felt disjointed and slow. Makers previously balanced their flow of work ...

The field of control systems and multi-agent dynamics encompasses a sophisticated blend of theory and practice, designed to manage the behaviour of interconnected systems ranging from large-scale ...

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. Multi-agent AI is rapidly gaining traction, and one big ...

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 ...

Anthropic has given its AI assistant Claude the ability to take direct control of a user’s desktop, opening applications, ...

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 ...

Examines how AI agent delegation enables risks like session smuggling and escalation, with defenses such as scoped ...

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.