The Agent2Agent communication protocol simplifies the development of self-orchestrating agentic workflows. Start building them with the new A2A .NET SDK. As we continue to move away from using AI ...

Tell me, Mr. Smith ... what good is an agent if it's unable to speak? We have protocols and standards for just about everything. It's generally helpful when we can all agree on how technologies should ...

Model Context Protocol, Agent2Agent protocol, and Agent Communication Protocol take slightly different approaches to AI agent communications. Let’s unpack them. Unlike traditional AI models that ...

AI agents are approaching the kind of breakthrough moment that APIs had in the early 2010s. At that time, REST and JSON unlocked system-to-system integration at scale by simplifying what had been a ...

Since its launch in November 2024, the Model Context Protocol (MCP) from Anthropic has gone viral, generating buzz as a simple, standardized way to connect language models with tools and data. Now, ...

Anthropic, Google, and others are developing better ways for agents to interact with our programs and each other, but there’s still more work to be done. A growing number of companies are launching AI ...

Google’s recently released Agent2Agent protocol has emerged as a top contender to facilitate communication and collaboration between AI agents in models and enterprises. Microsoft this week adopted ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Interoperability among AI agents is slowly ...

In his keynote presentation, Mike Smith, a Google staff software engineer, told the conference that the A2A protocol has evolved to make it easier to add custom extensions to the core specification.

Enhanced by these protocols, Globant Enterprise AI positions itself as the foundational platform for secure, scalable, and collaborative AI development throughout enterprise environments MCP and A2A's ...