构建可验证的AI代理目录服务，实现跨系统的智能体能力发现。
The AGNTCY Agent Directory Service: Architecture and Implementation
- 用分层分类与内容寻址技术，分离能力索引与内容位置。
- 基于Kademlia DHT实现高效多维发现，支持上百种异构智能体。
- 兼容OCI/ORAS与Sigstore，适合开发可追溯的智能体应用。
Agent Directory Service (ADS) 是一个分布式目录，用于发现AI代理的能力、元数据和溯源信息。它利用内容寻址存储、分层分类体系和密码学签名，实现在异构多智能体系统（MAS）中高效、可验证、多维度的发现。ADS 基于 Open Agentic Schema Framework (OASF)，通过两级映射在 Kademlia 基础的分布式哈希表（DHT）上解耦能力索引与内容位置。其复用成熟的 OCI / ORAS 基础设施进行资源分发，集成 Sigstore 支持溯源，并通过模式驱动扩展性，支持新兴代理模态（如大语言模型提示代理、MCP 服务器、A2A 支持组件）。本文形式化了架构模型，描述了存储与发现层，解释了安全与性能特性，并将 ADS 置于新兴代理注册与互操作倡议的宏观背景中。
原文摘要 · Abstract (English)
The Agent Directory Service (ADS) is a distributed directory for the discovery of AI agent capabilities, metadata, and provenance. It leverages content-addressed storage, hierarchical taxonomies, and cryptographic signing to enable efficient, verifiable, and multi-dimensional discovery across heterogeneous Multi-Agent Systems (MAS). Built on the Open Agentic Schema Framework (OASF), ADS decouples capability indexing from content location through a two-level mapping realized over a Kademlia-based Distributed Hash Table (DHT). It reuses mature OCI / ORAS infrastructure for artifact distribution, integrates Sigstore for provenance, and supports schema-driven extensibility for emerging agent modalities (LLM prompt agents, MCP servers, A2A-enabled components). This paper formalizes the architectural model, describes storage and discovery layers, explains security and performance properties, and positions ADS within the broader landscape of emerging agent registry and interoperability initiatives.
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