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 ...
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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 ...
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 ...
Have you ever wondered why AI systems, despite their incredible capabilities, often struggle to work together seamlessly? As artificial intelligence continues to evolve, the lack of standardized ...
Major technology vendors are converging around a single protocol for artificial intelligence agent communication, potentially ending the fragmentation that has limited the deployment of enterprise AI.
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Soroosh Khodami discusses why we aren't ready ...
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.
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