https://blog.xidao.online/en/tags/a2a-protocol/Recent content in A2A Protocol on XiDao Tech BlogHugo -- gohugo.ioen© 2026 XiDaoSat, 02 May 2026 00:00:00 +0000https://blog.xidao.online/en/posts/2026-05-02-a2a-protocol-multi-agent-guide/Sat, 02 May 2026 00:00:00 +0000https://blog.xidao.online/en/posts/2026-05-02-a2a-protocol-multi-agent-guide/<h2 class="relative group">The Multi-Agent Problem in 2026 <div id="the-multi-agent-problem-in-2026" class="anchor"></div> <span class="absolute top-0 w-6 transition-opacity opacity-0 -start-6 not-prose group-hover:opacity-100 select-none"> <a class="text-primary-300 dark:text-neutral-700 !no-underline" href="#the-multi-agent-problem-in-2026" aria-label="Anchor">#</a> </span> </h2> <p>By mid-2026, most development teams have adopted MCP (Model Context Protocol) for connecting AI models to tools. But a critical gap remains: <strong>how do AI agents talk to each other?</strong></p> <p>Consider a real-world scenario: An e-commerce platform deploys three specialized agents:</p> <ul> <li><strong>Inventory Agent</strong> — monitors stock levels, predicts demand</li> <li><strong>Pricing Agent</strong> — adjusts prices based on market conditions</li> <li><strong>Customer Support Agent</strong> — handles inquiries, processes returns</li> </ul> <p>Each agent works brilliantly in isolation. But when the Pricing Agent needs to ask the Inventory Agent about stock availability before applying a discount, there&rsquo;s no standard way for them to communicate. Teams end up building fragile, custom integrations that break at scale.</p>