#AIville is not your average Web3 project. It’s an autonomous simulation where AI agents “live” and learn through social interactions. Built with modular AI systems, agents are designed to perceive, remember, reflect, and plan. Each agent keeps a memory stream—essentially a log of events they’ve encountered—and uses that to influence future actions.
Key features:
• Memory Retrieval: Based on relevance and recency, agents pull from stored memories to decide how to act.
• Reflection: Agents periodically review their experiences to form higher-level conclusions (e.g., “Bob is my best friend”).
• Planning Module: AIville agents plan their day based on internal motivations, shared goals, and prior interactions.
The goal is to make AI agents not just reactive, but pro-active and evolving. With the support of BNB Chain and a dual-token model ($DINAR & $AGT), AIville becomes both technically feasible and economically sustainable.
Whether you’re a builder, gamer, or curious onlooker, AIville provides an immersive, ever-changing world where AI development meets narrative innovation.
