Google recently published a guide outlining eight essential design patterns for multi-agent systems, ranging from sequential ...

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

The last two years have reshaped how organizations use AI. Automation is everywhere, AI websites are becoming standard, and multi-agent tools are entering daily business operations. Still, many ...

GenSpark is a fantastic multi-agent AI system that is reshaping the artificial intelligence (AI) landscape. By seamlessly integrating a diverse array of tools and models, it addresses complex tasks ...

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

Imagine trying to juggle multiple tasks at once—researching, writing, editing, and organizing—all while keeping everything running smoothly. It’s a lot, right? Now imagine having a team of specialized ...

If you've been a production developer for any time, you know application programming interfaces (APIs) are subject to change at the provider's whim. You might go to bed one night knowing your app is ...

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 ...

Databricks Inc. today announced a series of updates to its flagship artificial intelligence product, Agent Bricks, aimed at improving governance, accuracy and model flexibility for enterprise AI ...

This strengthens Google’s position against rivals such as Microsoft and AWS as enterprises seek faster, more reliable ways to deploy and manage AI agents. Google Cloud has updated its Vertex AI Agent ...

The next leap is about evolving how we think about AI. It is more than creating smarter tools; we need AI that thinks, adapts, and collaborates. This is the promise of agentic AI. Healthcare stands at ...