当前Agent的发展进行到了什么阶段？

Investment Rating - The report suggests a positive outlook on the Agent industry, indicating that the rapid development of Agents is expected to continue driving the AI industry chain upwards [4]. Core Insights - The Agent category and application scenarios have rapidly diversified, despite the lack of a clear product definition. There are notable differences in the development strategies of major companies in China and the U.S. [2][3]. - The report emphasizes the significant computational power required for Agent products, which is expected to lead to further technological breakthroughs and commercial viability [3][4]. - The report highlights the increasing demand for model privatization, benefiting integrated machines, hyper-converged infrastructure, and B-end service outsourcing companies [4]. Summary by Sections 1. Agent Definition and Application Scenarios - The definition of Agents remains unclear, but their categories and application scenarios have become rich and varied. The development paths of Agents are influenced by whether engineers optimize processes [6][7][15]. - Academic perspectives emphasize the need for planning capabilities in Agents, while industry views focus on the ability of Agents to independently complete tasks [9][12]. 2. Major Companies Supporting Agent Deployment - North American cloud vendors primarily focus on helping customers efficiently deploy models and Agents, while B-end companies concentrate on creating and managing Agent platforms [52][53]. - Google, Microsoft, and Amazon are leading the charge in deploying Agents, with Google introducing the Agentspace management platform and A2A protocol to enhance inter-Agent communication [54][55][63]. 3. Current State of Agent Development in China - Domestic internet giants continue to follow a user traffic logic from the internet era, launching general-purpose Agent products to capture users [79]. - B-end companies in China are adopting a platform-based approach similar to their North American counterparts, focusing on valuable product deployment [80]. 4. Changes and Challenges in Agent Implementation - The report discusses the challenges faced by Agents, including intent confusion and collaboration among multiple Agents, while also highlighting ongoing explorations in academia and industry [3][4]. - The report notes that the commercial viability of Agents is expected to improve as technology iterates and scales [4]. 5. Investment Recommendations - The report recommends focusing on software companies with data, customers, and scenarios, particularly in ERP and government sectors, as they are likely to see early orders and product implementations [4]. - It also suggests that the increasing demand for model privatization will benefit companies involved in integrated machines and hyper-converged infrastructure [4].