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 ...

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 ...

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 ...

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 ...

MCP, A2A, ACP, or UTCP? It seems like every other day, orgs add yet another AI protocol to the agentic alphabet soup, making it all the more confusing. Below, we'll share what all these abbreviations ...

As DevSecOps matures, artificial intelligence (AI) is transforming the way security, compliance and automation are carried out across the software development life cycle. Intelligent agents founded ...

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 ...

On November 25, 2024, large language model (LLM) provider Anthropic open-sourced its Model Context Protocol (MCP). MCP provides a standardized way to connect an AI model, like the Claude family of ...

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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 ...