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 ...

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

Flowable 2025.2 expands enterprise control over agentic automation by strengthening governed AI, multi-agent orchestration, ...

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 research team has identified and demonstrated a vulnerability in emerging agentic AI systems, including multi-agent control platforms (MCPs) and AI browsers, coined “IdentityMesh.” This newly ...

What if the very systems designed to transform problem-solving are quietly failing behind the scenes? Multi-agent AI, often hailed as the future of artificial intelligence, promises to tackle complex ...

Today, multi-agent systems (MAS) have emerged as transformative technologies, driving innovation and efficiency across various industries. Comprising multiple autonomous agents working collaboratively ...

Microsoft Corp. is leaning more into enterprise artificial intelligence agentic workflow support with a new command center for AI agents: Agent 365. Announced today during Microsoft Ignite 2025 in San ...

AGNTCY addresses fundamental infrastructure gaps that have prevented AI agents from working together at enterprise scale. The framework provides core capabilities that mirror traditional networking ...

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 ...