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Linux Foundation launches open-source DNS system for AI agent discovery

The Linux Foundation launched DNS-AID, an open-source project that lets AI agents find each other using the existing Domain Name System. It replaces hard-coded URLs and vendor-specific registries with standard internet infrastructure.

Linux Foundation launches DNS system for AI agent discovery

The Linux Foundation announced DNS-AID, an open-source project that uses the internet's existing Domain Name System to help AI agents find and communicate with each other. The system addresses a growing infrastructure gap as autonomous AI agents multiply across organizations.

Currently, AI agents rely on centralized registration systems or hard-coded URLs to locate services. This approach limits interoperability between platforms and forces organizations into vendor lock-in. DNS-AID treats the DNS system as a neutral directory for AI agents and automation, letting them publish and discover services the way websites do.

How it works

Infoblox originally developed DNS-AID, which the Linux Foundation now maintains as an open-source project. The system enables MCP servers to be discovered and accessed through DNS without relying on proprietary platforms or specific DNS providers.

The project includes a Python SDK, command-line tools, and an MCP server implementation. Developers can integrate these directly into existing workflows and AI environments.

Why this matters

Jim Zemlin, executive director of the Linux Foundation, said the shift toward autonomous agents creates a need for open infrastructure that works across vendors. DNS-AID embeds discovery and verification into existing internet standards rather than creating new proprietary systems.

Project maintainer Ingmar Van Glabbeek noted that current agent connectivity often relies on manual configuration and fragmented solutions. DNS-AID enables a web-native approach where agents discover each other the way internet services do today.

Community development

The project operates under neutral open-source governance and accepts community contributions. Source code and documentation are available on GitHub.

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