📄 中文摘要
AI 代理生态系统面临着包装问题。尽管构建代理的框架已经大量涌现，开发者可以在多种语言中快速搭建 ReAct 循环，并将其连接到向量存储，赋予其工具并观察其推理过程，但在如何交付代理方面，答案却模糊不清。如何将代理交给其他团队并确保其行为一致？如何进行版本控制、审计权限、限制文件系统访问，并在未见过源代码的机器上运行？如何在开发者的笔记本、预发布服务器和 CI 管道之间移动代理，而不需要在每一步重写配置？这些问题并不涉及代理的智能性。
可携带代理是 AI 基础设施中缺失的抽象
出处: Portable Agents Are the Missing Abstraction in AI Infrastructure
发布: 2026年3月24日
📄 English Summary
Portable Agents Are the Missing Abstraction in AI Infrastructure
The AI agent ecosystem faces a packaging problem. While frameworks for building agents have proliferated, allowing developers to quickly set up ReAct loops in various languages, connect them to vector stores, and equip them with tools to observe reasoning processes, the question of how to ship an agent remains vague. How can one hand an agent to another team and ensure consistent behavior? What are the methods for versioning, auditing permissions, constraining filesystem access, and running it on machines that have never seen the source code? Additionally, how can one move an agent from a developer's laptop to a staging server and then to a CI pipeline without rewriting configurations at each step? These challenges do not pertain to the intelligence of the agent.