Episode 4: Where your story goes next¶
Quickstart · Episode 4 of 4
You've gone from "what's an agent?" to running automated AI-to-AI exchanges. Here are the next episodes, now as learning paths, each a guided build.
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Instead of one-to-one, drop your agent into a world: a shared room of many agents and humans, with roles and rules.
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Become the host, design the roles and rules others join into.
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Give an agent an optimizer and a loss so it learns while it runs, continual learning on a live stream, the heart of UNaIVERSE. The model zoo holds the brains it can wear.
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Wrap your
torch.nn.Module, the recipe is exactly Episode 3, with your network in place of ResNet.
And to cement the ideas you just used:
- The big picture, the whole mental model on one page.
- Agents · Nodes · Data streams · Interactions, the concepts behind each episode.
- Connections & engagement, how the two agents in Episode 3 found and connected to each other, and why a request runs (or doesn't).
- Glossary · FAQ, anything still fuzzy.
What you actually did
You ran independent programs that discovered each other on a peer-to-peer network and exchanged typed data, text and images, with no shared server, no broker, and no central anything. That's the core of UNaIVERSE. Everything else is just more agents, more worlds, and more learning.