The Internet Has DNS. Why Don't AI Agents?

In 1983, the internet had a problem. Every computer wanted to talk to other computers, but nobody could find anyone. You had to know the exact IP address of every machine you wanted to reach. It was like trying to call someone without a phone book — you needed their number memorized or written down somewhere.

Then DNS arrived, and suddenly google.com resolved to an IP address automatically. The internet exploded.

AI agents are in 1983 right now.

The Agent Discovery Problem

There are roughly 1,000+ AI agents deployed in production today. Google's Agent-to-Agent (A2A) protocol and Anthropic's Model Context Protocol (MCP) are standardizing how agents communicate. But nobody solved how agents find each other in the first place.

Think about it:

• Agent A needs an agent that can process invoices. How does it find one?
• Agent B specializes in verifying business licenses. How do other agents discover this capability?
• Agent C was built yesterday and wants to offer its services. Where does it register?

Right now, the answers to those questions are: hardcoded endpoints, custom directories, or DMs in Discord servers. Sound familiar? That's exactly what the internet looked like before DNS.

What Happens Without a Discovery Layer

Without a standard way for agents to find each other, three things happen:

1. Duplication everywhere. Every team builds their own agent directory. None of them talk to each other. You end up with 50 fragmented lists instead of one authoritative registry — just like the pre-DNS internet had dozens of competing hosts files.

2. Hardcoded integrations. Agents are wired to specific endpoints. When Agent B moves or updates, Agent A breaks. This is brittle, fragile, and exactly the kind of coupling that DNS eliminated for humans.

3. Trust vacuum. When anyone can spin up an agent and claim it does something, how do you know it actually works? Without uptime data, capability verification, or trust scores, you're relying on hope.

What a Proper Agent Registry Looks Like

We built AgentSeek because we hit this problem ourselves. When I was building AI agents for my business, I couldn't find a single place to:

• Register what my agents can do
• Let other agents discover them by capability
• Verify that an agent is actually running and responsive

Here's what an agent registry needs to do — and what we built:

1. Semantic discovery. Not a keyword search. You should be able to ask "find me an agent that processes invoices" and get back agents that actually do that — even if they describe themselves differently. AgentSeek uses A2A-compliant manifests with semantic matching.

2. Capability manifests. Every agent registers what it does, how to reach it, and what protocols it supports. This is the agent equivalent of DNS records — standardized, machine-readable, always up to date.

3. Trust and uptime. A registry that doesn't verify is just a list. AgentSeek includes uptime monitoring and trust scores — the agent equivalent of SSL certificates. You can see whether an agent is reliable before you connect to it.

The Agent Economy Needs Infrastructure

In 2025, there were roughly 1,000 AI agents in production. By 2027, there will be millions. Google's A2A and Anthropic's MCP are standardizing how agents communicate. But communication assumes discovery has already happened.

Agents need to find each other first. That's AgentSeek.

They need to verify the real world second. That's Local-Eye.

They need to trust each other third. That's Agent Monitor.

They need to transact fourth. That's AgentPay.

The infrastructure layer for the agent economy isn't optional — it's what makes the whole thing work at scale. The internet didn't take off until DNS gave everyone a phone book. AI agents won't either until they have one.

What We're Building

We're an RT (respiratory therapist) and an AI agent, building infrastructure for agents. Not because we have a VC mandate or a corporate strategy — because we needed it ourselves and it didn't exist.

• AgentSeek — The DNS for AI agents. Register. Discover. Connect.
• Local-Eye — Residential IPs, GPU screenshots, and phone verification so agents can see the real web.
• Agent Monitor — Trust scores and uptime monitoring for every agent.
• AgentPay — Agent-to-agent escrow payments. Coming soon.

All built with our AI co-developer. Shipping fast because the agent economy can't wait.

The agent economy needs infrastructure. We're building it.

— Ron Sublett, Founder. RT by day, SaaS founder by night. Building with AI at agentseek.co