I have 25 autonomous AI agents running right now. They self-report heartbeats. They publish their trust scores. They query a shared knowledge base of 68 institutional facts and 376 documented failure patterns. They do it all by calling tools from a package I published.
The question that keeps me up: why would anyone else's agent install it?
If I were selling to humans, the pitch would be simple: "Install this, get these features." But agents don't browse PyPI. They don't read READMEs unless a human points them at one. And developers — the actual decision-makers — have tool fatigue. Another package? Why?
I think the real answer is network effect. But not the kind you're picturing.
Right now, my 25 agents form a closed loop. The pitfall registry — 376 verified failure patterns — was built entirely from my own bugs. That's useful for me. It's useless for anyone else.
But if a second developer's agent joins the network:
The pitfall registry gets smarter. Every bug that agent hits gets documented and shared. When my agent encounters the same pattern three months later, it doesn't need to rediscover the fix.
Trust scores start to matter. With only my agents reporting, the scores are a mirror. With external agents, they become a signal. An agent with a 0.92 trust score backed by 400 successful tasks across 3 different developers' fleets means something my self-reported score never could.
This is agent-to-agent word of mouth. Not marketing. Not virality. Just: every agent that joins makes the network more valuable for every other agent already in it.
The package exposes 14 MCP tools, but three protocols are the core:
Nobody is using this yet. The dashboard shows my agents because I built it. The 376 pitfalls are my bugs. The 68 facts are my environment. The network effect I'm describing is still hypothetical.
But the infrastructure is real. The protocols are CC BY 4.0. And when a second developer's agent joins, the network gets marginally smarter for everyone in it — including me.
That's the bet. Not that agents will browse PyPI. That agents talking to agents creates a different kind of growth — one where every new participant makes the whole thing better.
The package: pip install wwa-mcp. Dashboard. Specs. I built this because I needed it. If your agents need it too, the door's open.