刚刚，Linux基金会正式宣布推出智能体AI基金会（Agentic AI Foundation，简称AAIF），标志着AI领域迈入 一个全新阶段——从单点模型驱动转向可协同工作的自主智能体时代。这一举措被业内视为AI领域的"Linux 时刻"，意味着全球科技巨头首次携手共建开放、中立的智能体技术栈，为下一代人工智能基础设施奠定基 础。 据公告披露，AAIF定位为AI智能体相关开源项目的中立托管平台，目前已有亚马逊云科技、Anthropic、 Block、Cloudflare、谷歌、微软、OpenAI、思科、IBM、甲骨文、Salesforce、SAP、Snowflake、Hugging Face等数十家头部企业签约成为成员。其中，Anthropic、OpenAI与Block作为联合创始成员，将贡献三大核 心开源项目：MCP协议、AGENTS.md规范和Goose框架，构成基金会启动初期的技术支柱。 这三项技术并非孤立存在，而是共同构建了一个标准化的智能体生态系统。MCP（Model Context Protocol） 由Anthropic于一年前开源，被誉为"AI领域的USB-C接口"，旨在统一AI智能体与外 ...

当地时间12月9日，全球AI领域的两大竞争对手OpenAI和Anthropic，以及金融科技巨头Block共同宣布成 立AI智能体基金会（AAIF）。 在 AI 智能体这个"兵家必争之地"，硅谷巨头们选择了"合纵连横"。 该基金会由管理Linux操作系统等开源项目的Linux基金会负责运作，并获得了包括谷歌、微软、亚马逊 AWS、彭博社和Cloudflare在内的众多科技巨头的支持。 这一合作旨在为AI智能体系统从实验阶段迈向现实应用提供中立管理和开放、可互操作的基础设施，标 志着硅谷巨头们认识到，在智能体这一"继大模型之后最具潜力"的商业化赛道上，开放标准比封闭竞争 更符合其长期利益。 01.为何要建立"智能体联合国"？ AI智能体正被视为继大语言模型之后最具潜力的商业化方向。它们不仅限于问答，还能执行实际操作： 完成交易、管理复杂任务、相互协商，并大规模参与企业运营。然而，随着智能体应用场景的扩大，行 业面临两大痛点： 一是互操作性与重复劳动危机。在现有模式下，不同公司开发的智能体和工具彼此之间难以"交流"。企 业每部署一个新的智能体系统，都必须投入大量资源自建连接器（Connectors），重复劳动巨大 ...

Core Viewpoint - The Linux Foundation has launched the Agentic AI Foundation (AAIF) to serve as a neutral custodian platform for open-source projects related to AI agents, with major tech companies as members, including Anthropic, OpenAI, and Block [2][3]. Group 1: Foundation and Members - AAIF aims to establish open standards for AI agents, with initial contributions from Anthropic, Block, and OpenAI focusing on three key open-source projects [3][4]. - The foundation's member list includes major companies like Amazon Web Services, Google, Microsoft, and IBM, all collaborating to create interoperability standards for AI agents [2][3]. Group 2: Key Projects and Standards - The three main projects are the Model Context Protocol (MCP) by Anthropic, the Goose project by Block, and the AGENTS.md specification by OpenAI, which will standardize interactions between AI agents and external tools [3][4]. - MCP is described as the "USB-C interface" for AI, allowing developers to connect AI agents to various data sources without custom integration [4][5]. Group 3: Industry Adoption and Impact - A report by UiPath indicates that by mid-2025, approximately 65% of organizations will have initiated pilot or deployment of AI agent systems, with nearly 90% of executives planning to increase investments in 2026 [8]. - Multi-agent systems can significantly enhance business performance, reducing error rates by up to 60% and improving execution efficiency by 40% compared to traditional processes [8]. Group 4: Challenges and Future Outlook - The lack of industry consensus on standards could lead to fragmentation, making it difficult for systems to interoperate, similar to the early internet [9][10]. - The AAIF's mission is to prevent this fragmentation by managing key protocols and frameworks, ensuring that AI agents operate on open and interoperable standards [9][10]. Group 5: Governance and Community Involvement - The funding for AAIF comes from a "directed fund," where companies can contribute through membership fees, but control over project direction is maintained by a technical steering committee [6][12]. - The success of AAIF will depend on the adoption of its standards by global vendors and the continuous evolution of these standards based on industry feedback [12].