专注AIGC领域的专业社区，关注微软&OpenAI、百度文心一言、讯飞星火等大语言模型（LLM）的发展和应用落地，聚焦LLM的市场研究和AIGC开发者生态，欢迎关注！前一篇文章我们已经探讨了Prompt（底层指令）、Skills（能力单元）和MCP（ ...

近期关注AI行业动态的人士应该能观察到一个趋势，基础模型训练领域正日益呈现出寡头垄断的特征，而AI应用创新的前景和空间依然开阔，令人兴奋的AI应用层出不穷。一个完整的AI应用系统中常常包括三个主要角色：用户、AI Agent、外部工具，AI交互系统的核心 ...

通信世界网消息（CWW）MCP、A2A等技术的出现将迎来生成式AI业务的“互联网时代”。 MCP与A2A有望催生下一个平台级机会，重构当前产业格局 MCP协议降低了智能体开发与应用门槛，打通技术底层与上层应用的通道，进而促进智能体应用快速落地，实现商业闭环。

本文分享 47000 美元多智能体生产部署教训，点出 A2A/MCP 痛点，强调专用基建的必要性。 关键词：多智能体系统、智能体间通信、模型上下文协议、AI基础设施、生产环境部署 我们在生产环境中运行AI智能体花费了47,000美元。以下是关于A2A和MCP没人告诉你的真相。

今天凌晨，微软在官网宣布Azure AI Foundry和Microsoft Copilot Studio两大开发平台，支持最新的Agent开发协议A2A。 这也是微软支持MCP后又一关键动作，并且会与谷歌合作一起开发扩大A2A协议，这对于智能体赛道来说意义重大。因为智能体在使用A2A、MCP协议之后，可以打破 ...

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 ...

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 ...

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 ...

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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