a swarm & hermes that grows with you

A Swarm and Hermes That Grows With You

About 36 hours before publishing, this X post laid out something that feels bigger than just another AI experiment. After nine years of running growth tests, the author hit a wall most of us know too well. The ideas were never the problem. The bottleneck was speed. Coordination. Context scattered across Slack threads and people’s heads.

So instead of building a smarter single agent, he built a team.

The core idea is simple. One folder equals one team. Inside it, multiple AI agents operate like a real growth department. There is a research analyst, a growth lead, writers, each with their own tools, memory, and models. Over them sits Hermes, the operator. You talk to Hermes. Hermes coordinates the swarm.

It is less “AI employee” and more “AI organization.”

If you have ever tried standalone agents, you probably felt the same friction he describes. An agent without shared context is just a prompt with ambition. Real teams learn together. They pass insights around. They build on past experiments. That is what this architecture is designed to fix.

The system runs in cycles. Research in the morning. You approve over coffee. Then execution happens in parallel. Everything feeds into a shared knowledge store, indexed and searchable. Each agent has a north star metric, a strategy file that evolves, and a log of results. If something works, it stays. If not, it is reverted and recorded. Over time, strategies ratchet upward.

There is also a practical layer here. Multi model routing keeps costs low. Sandbox execution keeps things contained. Persistent memory means lessons survive restarts. It is built in Python, tuned for ML infrastructure, not just consumer UX.

What stands out most is the honesty. Agents are not fully autonomous. Not yet. Expecting 50 to 75 percent of the heavy lifting is realistic. The leap forward is not smarter models, it is better coordination.

And that feels right.

We are moving from solo assistants to learning systems. From prompts to teams. If this pattern holds, the future of AI at work will not be one brilliant agent. It will be swarms that grow with you, experiment by experiment.