AWS Unveils Agent Registry to Bring Transparency to Enterprise AI Agents

AWS has introduced its Agent Registry, a new tool designed to bring transparency and organization to the growing ecosystem of AI agents within enterprise environments. The registry aims to solve a common problem: when companies deploy software automations, they often lack visibility into what their AI agents are actually doing, leading to redundant efforts and potential security concerns.

The Agent Registry is positioned as "a single place to discover, share, and reuse AI agents, tools, and agent skills across your enterprise." This initiative comes as the AI agent landscape becomes increasingly complex, with multiple major cloud providers offering their own solutions. AWS isn't alone in this space—Microsoft offers both an Entra Agent Registry and an Azure Agent Registry, while Google Cloud maintains its own Agent Registry. There's also an Agent Client Protocol (ACP) Registry and numerous third-party options.

AWS's approach focuses on integration with its existing Bedrock AgentCore platform, which serves as the foundation for building, deploying, and managing agent software. The registry functions as a central repository for storing metadata that describes agents, tools, MCP (Model Context Protocol) servers, agent skills, and associated resources. This metadata includes crucial information such as authorship details, protocol specifications, exposed services, and invocation instructions.

One of the key features of the AWS Agent Registry is its support for industry standards. The platform works with MCP and A2A (Agent-to-Agent) protocols, in addition to accommodating custom schemas. This flexibility allows organizations to maintain consistency across their agent ecosystem, regardless of where agents are hosted—whether on Agent Core, other cloud services, or on-premises infrastructure.

Adding records to the registry can be accomplished through multiple methods. Organizations can manually submit metadata via the AWS console, AWS SDK, or API. Alternatively, the registry can automatically fetch records after being connected to a properly configured MCP or A2A endpoint. This dual approach provides flexibility for different organizational needs and technical capabilities.

Querying the registry is equally versatile. Users can access information through the AgentCore Console, APIs, or any MCP-compatible client such as Kiro or Claude Code. This accessibility ensures that teams can integrate registry queries into their existing workflows and toolsets.

Pete Hirsch, chief product and technology officer at Zuora, highlighted the practical benefits of this centralized approach. "This centralized approach enables teams to find and reuse existing assets rather than rebuilding from scratch," Hirsch said. "Standardized metadata ensures each agent and tool includes consistent details on ownership and capabilities, giving teams end-to-end visibility and accountability across the entire agent ecosystem."

The registry also provides operational insights by surfacing metadata about agent performance. AWS expects that agents built using AgentCore, Amazon Quick Suite, and Kiro will be automatically indexed in the registry, with metadata from their operations displayed to show what exists and how well they function. Organizations can view this data through the AWS Resource Access Manager, providing a comprehensive overview of their agent landscape.

Currently, the AWS Agent Registry is available in preview through AgentCore in five regions: US East (N. Virginia), US West (Oregon), Asia Pacific (Sydney), Asia Pacific (Tokyo), and Europe (Ireland). This phased rollout allows AWS to gather feedback and refine the service before broader deployment.

The introduction of the Agent Registry reflects a broader trend in enterprise AI adoption. As organizations deploy more AI agents for various tasks—from customer service to data analysis to workflow automation—the need for governance, visibility, and standardization becomes increasingly critical. Without proper management, companies risk creating siloed agent deployments that duplicate efforts, create security vulnerabilities, and complicate maintenance.

This move by AWS also signals the maturation of the AI agent market. What began as experimental deployments of individual AI assistants is evolving into complex ecosystems of specialized agents that need to work together and be managed as a coherent system. The registry represents an acknowledgment that enterprise AI requires the same kind of infrastructure and governance that has long been applied to other critical business systems.

For organizations already invested in the AWS ecosystem, the Agent Registry offers a natural extension of their existing tools and platforms. By providing a unified view of all agents across the enterprise, it enables better decision-making about resource allocation, security policies, and development priorities. The ability to discover and reuse existing agents also promises to accelerate development cycles and reduce costs associated with redundant agent creation.

As AI agents become more prevalent in enterprise environments, tools like the AWS Agent Registry will likely become essential components of the AI infrastructure stack. They represent a shift from viewing AI agents as isolated tools to treating them as part of a managed, governed ecosystem that requires the same level of oversight and coordination as any other critical business system.