为不同AI代理间通信制定统一语言协议，促进行业协作
The Natural Language Interaction Protocol and Standard for AI Agents
- 定义轻量级语义消息格式，支持多种传输方式
- 实现跨平台代理互操作，兼容异构系统与协议
- 适合企业级AI系统集成，推动标准化落地
AI代理正被广泛应用于各类组织，但其开发框架、模型、工具接口和执行环境高度异构。为充分发挥其社会与商业潜力，代理间需通过通用通信协议实现互操作。由产业界与学术界联合研发、经Ecma国际标准化的自然语言交互协议（NLIP），提供基于标准的应用层协议，定义轻量级语义消息封装，可承载于HTTP/HTTPS、WebSocket、AMQP等现有传输协议之上。NLIP使具备感知能力的代理与网关能动态适配客户端、代理、本地上下文存储、本体、工具、企业服务及异构底层协议。本文阐述了NLIP的设计动机与理念，介绍其消息模型与传输绑定，讨论安全优先设计考量，给出参考实现、代表性应用案例、采纳信号，并说明其与MCP、A2A等新兴代理协议的关系。
原文摘要 · Abstract (English)
AI agents are increasingly being developed and deployed across organizations using heterogeneous agent-development frameworks, AI models, tool interfaces, protocols, and execution environments. To realize their potential social and business impact, these agents must be able to interoperate through a common communication protocol. The Natural Language Interaction Protocol (NLIP), developed by researchers and practitioners across companies and universities and standardized by Ecma International, addresses this need by defining a standards-based application-layer protocol for AI-agent interaction. NLIP provides a lightweight semantic message envelope that can be carried over existing transports such as HTTP/HTTPS, WebSocket, and AMQP, while allowing NLIP-aware agents and gateways to adapt between clients, agents, local context stores, ontologies, tools, enterprise services, and heterogeneous underlying protocols. This paper presents the motivation and design rationale of NLIP, its message model and transport bindings, security-by-design considerations, reference implementation, representative applications, adoption signals, and relationship to emerging agent protocols such as MCP and A2A.
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