The project
This simulation puts AI agents inside a world with rules, resources, dangers, memory and relationships. The point is to observe what models do when they receive an environment instead of just a prompt.
Technical angle
The architecture is world state, agent memory, intentions, an orchestrator applying actions and an event log for understanding behavior.
What it proves
The project shows how to make AI agents observable beyond chat: they decide inside a constrained world, which reveals patterns and limits that conversation alone hides.