提出统一协议ACP，让不同智能体安全协作
Beyond Context Sharing: A Unified Agent Communication Protocol (ACP) for Secure, Federated, and Autonomous Agent-to-Agent (A2A) Orchestration
- 设计标准化通信协议，实现跨平台智能体互操作
- 降低通信延迟，保持零信任安全机制
- 适合构建去中心化智能体生态的开发者
在人工智能领域，随着从孤立的大语言模型向具备复杂推理与工具使用能力的自主智能体过渡，尽管基础架构和本地上下文管理协议已建立，但跨平台、去中心化且安全的交互仍是实现真正智能体网络的关键障碍。本文在智能体架构及多智能体协调的模型上下文协议（MCP）基础上，提出智能体通信协议（ACP），为智能体间（A2A）交互提供标准化框架，使异构智能体可在不同环境中实现发现、协商与协同工作流执行。我们提出一种联邦式编排模型，融合去中心化身份验证、语义意图映射与自动化服务级别协议。评估表明，ACP在维持零信任安全的前提下，显著降低智能体间通信延迟。该工作推动了可扩展、互操作的自主数字实体生态系统的实现。
原文摘要 · Abstract (English)
In the artificial intelligence space, as we transition from isolated large language models to autonomous agents capable of complex reasoning and tool use. While foundational architectures and local context management protocols have been established, the challenge of cross-platform, decentralized, and secure interaction remains a significant barrier to the realization of a truly Agentic Web. Building upon the foundations of AI agent architectures and the Model Context Protocol (MCP) for multi-agent coordination, this paper introduces the Agent Communication Protocol (ACP). ACP provides a standardized framework for Agent-to-Agent (AA) interaction, enabling heterogeneous agents to discover, negotiate, and execute collaborative workflows across disparate environments. We propose a federated orchestration model that integrates decentralized identity verification, semantic intent mapping, and automated service-level agreements. Our evaluation demonstrates that ACP reduces inter-agent communication latency by % while maintaining a zero-trust security posture. This work represents a critical advancement toward a scalable and interoperable ecosystem of autonomous digital entities
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