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From A2A to MCP, a look at the protocols that might one day help AI automate you out of a job
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 ...
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 ...
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 ...
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 ...
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 ...
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As agent-based AI systems grow more sophisticated, developers are moving well beyond basic Retrieval-Augmented Generation (RAG) into a new era of autonomous, tool-integrated, and multi-agent ...
Familiar patterns—and familiar lessons—are emerging as enterprises get serious about agentic AI and Model Context Protocol and Agent2Agent implementations. The future of enterprise architecture is ...
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