AI agents get their own phone directory built atop DNS

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Summary

AI + ML AI agents get their own phone directory built atop DNS DNS-AID, under the auspices of the Linux Foundation, promises easier agent discovery In the future, AI agents will be able to find one another using the Domain Name System (DNS), instead of crawling about and probing ports or checking configured resources.That future begins now with DNS for AI Discovery (DNS-AID), an open source project intended to facilitate agent-to-agent discovery using existing internet infrastructure. The system has been built atop DNS to avoid the creation of yet another registry that has the potential to become a competitive chokepoint."Current approaches to agent connectivity are fragmented and often rely on fragile, hardcoded configurations,” said Ingmar Van Glabbeek, project maintainer for DNS-AID, in a statement. "With DNS-AID, we are moving toward a 'web-native' model for AI. By utilizing the existing DNS hierarchy, we enable developers to publish and discover agents with the same reliability and ubiquity that we’ve used to navigate the internet for decades." DNS already provides various capabilities beyond domain name resolution. For example, websites expose their DMARC, SPF, and DKIM records via DNS TXT entries. And more recently, Service Binding (SVCB) and HTTPS RR (HTTPS Resource Records) were adopted to make it easier for clients to discover services and associated parameters. DNS-AID utilizes SVCB (with TXT as a fallback) and optionally DNS Security Extensions (DNSSEC) and DNS-Based Authentication of Named Entities (DANE) TLSA records. These provide agents with a way to connect without a mediating entity, additional infrastructure, or a preferred protocol. DNS-AID supports MCP, A2A, HTTPS, and anything addressable via SVCB and ALPN. The system allows agents to be searched by name, by function, and by domain.The Linux Foundation promises vendor-neutral governance for the project, which was initially developed by Infoblox."The Internet already solved the discovery problem...

First seen: 2026-05-28 13:11

Last seen: 2026-05-28 14:12