Agent是AI应用领域最热的细分方向之一，未来它则有可能在多个领域取代ChatBot成为主流应用形式。因为与ChatBot相比，它能够更好地提高生产力。 ChatBot可以帮助人们完成工作流程中的某些环节，而Agent则可以在接受指令后，完成整个工作流程，并直接交付结果。进一步，Agent可以并行工作， 一个经验丰富专业人士，可以同时与数十个Agent异步协作，大幅提高工作效率。 但是，因为Agent作为一种应用形式还非常新，专门为它构建的基础设施非常少。当下主流的云架构是为交付软件而构建的：无状态服务、不可变部署。 这种模式非常适合处理生产级代码的"外部循环"，却并不符合Agent实际的工作状态。 与人类一样，Agent需要不断迭代。它们需要安装依赖项、写入文件、运行测试并进行调试；它们同样会犯错、建立分支、修复错误并反复试错。只不过 它们是以机器的速度在海量并行线程中完成这一切。 Agent需要的基础设施要有新的技术范式：即时、有状态且阅后即焚的临时算力。这种计算资源不能只是一个用完即弃的沙盒，还应具有一台真正意义上 的可编程计算机的质感。 一家叫Daytona的创业公司为Agent打造了一种新型的"可 ...

Core Insights - The discussion at the LangChain Agent Conference highlighted the evolution of Agentic systems and the importance of focusing on the degree of Agentic capability rather than simply categorizing systems as "Agents" [2][3][4] - Andrew Ng emphasized the need for practical skills in breaking down complex processes into manageable tasks and establishing effective evaluation systems for AI systems [8][10][12] Group 1: Agentic Systems - The conversation shifted from whether a system qualifies as an "Agent" to discussing the spectrum of Agentic capabilities, suggesting that all systems can be classified as Agentic regardless of their level of autonomy [4][5] - There is a significant opportunity in automating simple, linear processes within enterprises, as many workflows remain manual and under-automated [6][7] Group 2: Skills for Building Agents - Key skills for building Agents include the ability to integrate various tools like LangGraph and establish a comprehensive data flow and evaluation system [8][9] - The importance of a structured evaluation process was highlighted, as many teams still rely on manual assessments, which can lead to inefficiencies [10][11] Group 3: Emerging Technologies - The MCP (Multi-Context Protocol) is seen as a transformative standard that simplifies the integration of Agents with various data sources, aiming to reduce the complexity of data pipelines [21][22] - Voice technology is identified as an underutilized component with significant potential, particularly in enterprise applications, where it can lower user interaction barriers [15][19] Group 4: Future of AI Programming - The concept of "Vibe Coding" reflects a shift in programming practices, where developers increasingly rely on AI assistants, emphasizing the need for a solid understanding of programming fundamentals [23][24] - The establishment of AI Fund aims to accelerate startup growth by focusing on speed and deep technical knowledge as key success factors [26]