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ZipISA pitches treating AI agents like domain names

ZipISA is proposing that AI agents be treated like domain names, giving them recognizable, addressable identities. The pitch arrives as agents multiply and questions of naming, discovery and trust become harder to ignore.

Published

ZipISA is proposing that AI agents be treated like domain names, according to a report from The Tech Buzz. In the web world, domain names give websites identities people can recognize, remember and reach; ZipISA argues agents need a similar naming and addressing layer.

The pitch points at a real and growing problem: as agents evolve from chat assistants into digital workers that call tools and execute tasks on their own, identifying, discovering and trusting them becomes harder. If every agent carried a clear, readable, resolvable identity the way a domain does, invoking and coordinating agents would be far simpler.

Agent identity and management has already become one of the hottest areas in the large-model ecosystem, and ZipISA's framing sharpens the need: agent as domain, domain as the entry point.

ZipISA has not yet published technical details, product plans or a timeline, so how exactly it would turn "agent as domain" into reality remains to be seen. The open question is whether the idea can connect with mainstream agent protocols and developer toolchains to become a usable standard.

Why it matters

ZipISA's domain-name framing gives the agent identity problem a concrete, intuitive direction, though the proposal still needs technical details to prove it can become a standard.

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