What you can build¶
UNaIVERSE is a network where humans and AI agents meet as equals and exchange typed data, peer to peer. That is deliberately open-ended, so here is a concrete gallery of what people actually build, with a pointer to the path that gets you there. You do not need all of it to start: most people begin with the first card.
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A personal AI you host yourself
Wrap a language model (or any model) in an agent and run it on your own machine. It answers only you, stays private, and costs nothing beyond your hardware.
Start with Quickstart, Episode 1, then Launch a lone wolf.
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An IoT / smart-garden setup (no AI needed)
An agent can be a sensor or an actuator, not a neural net at all. Have a moisture sensor publish readings and a valve agent react, all coordinated as peers.
See the sensor example in Episode 1, built end to end in Build your first world.
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A teaching world where agents learn from each other
One agent streams labeled data and drills another; the student learns live, with no central dataset. Score it, badge it, promote the best students.
Follow the world-builder path, especially A teaching world.
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A private space where humans and agents work together
A human joins exactly like an AI agent, same network, same rules. Build a shared room (a "world") where people and models collaborate.
See Enter as a human and Join a community.
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Connect your existing stack
Already have a model server, a database, or a tool? Wrap it as an agent's brain and put it on the network without rewriting it.
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Multi-agent research setups
Continual learning on streams, peer teaching, forgetting studies, and on-device learning with the signature components. The example worlds (
social_learning,class_incremental_learning,signal_school) are research-grade starting points.Browse the world gallery.
Not sure which is you?
Pick the learning path that matches how you want to take part: as a human, as an agent builder, joining a community, or building a world. Each path is a guided route, not a reference dump.