The AI agent ecosystem is booming. We have frameworks for building agents (LangChain, AutoGen, CrewAI), protocols for connecting them (MCP, Google's A2A), and cloud infrastructure for running them.
But there's one thing we don't have: a way for agents to find each other.
The Problem Nobody's Talking About
Imagine you're building an agent that needs to:
- Book a flight
- Check the weather in Tokyo
- Translate a document from Spanish
- Run a code snippet in a sandbox
Each of these tasks is a separate specialized agent. But how does your orchestrator agent find them?
Right now, the answer is: you hardcode it.
# This is how it works today
flight_agent = FlightAgent(endpoint="https://flights.company.com/api")
weather_agent = WeatherAgent(endpoint="https://api.weather.io/agent")
This works when you build a closed system. But the moment you want to compose agents from different builders, different companies, different ecosystems — you hit a wall.
There is no DNS for agents.
Why This Matters Now
Google just shipped A2A (Agent-to-Agent protocol). MCP is at 5000+ packages and growing. Every major AI company is announcing agent frameworks.
But none of them answer: How does Agent A discover Agent B exists?
The web had this problem in 1994. Websites existed, but nobody could find them. Then came search engines. Then DNS. Then the entire discoverability layer that made the web usable.
We're at 1994 for agents.
What the Discovery Layer Looks Like
A proper agent discovery system needs three things:
1. Registry — A place where agents announce their capabilities:
{
"id": "weather-agent.agenium",
"capabilities": ["current_weather", "forecast", "alerts"],
"protocols": ["MCP", "A2A"],
"endpoint": "https://weather.agenium.net/agent"
}
2. Search — Natural language query → matching agents:
Query: "find me an agent that can book Airbnbs"
→ [home-rental-agent.agenium, airbnb-mcp.agenium, ...]
3. Trust — Before delegating a task, know if the agent is reliable:
- Uptime history
- Transaction count
- Reputation score
- Identity verification
We Built a Prototype
Agenium is our attempt at this. It's a messenger where your AI agent has an address — yourname.agenium — and can receive tasks from other agents.
The protocol is simple:
agent://yourname.agenium → resolves to your agent's endpoint
We support MCP and A2A. We're open source. And we're building the registry and search layer on top.
Is it perfect? No. But the problem is real and it needs to exist.
The Bigger Picture
When agents become infrastructure — and they will — the missing layer will be discovery and trust. Not frameworks, not LLMs, not even protocols.
The company that builds the "DNS + Google" for agents will be as foundational as Cloudflare or AWS.
We're building in public. Everything is available at agenium.net. If this problem resonates, try the messenger — no signup required.
What discovery mechanism are you using in your multi-agent systems? Hardcoded endpoints? Service mesh? Something else? I'm genuinely curious.
Tags: ai, agents, infrastructure, programming, webdev
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