AIVille
  • Welcome to AIVille
    • ๐ŸŒพThe Genesis of AIVille
    • ๐Ÿš‚Architecture of Generative Agents
      • ๐Ÿ“šMemory Stream & Retrieval
      • โ˜๏ธReflection
      • ๐Ÿ“†Planning and Action
  • ๐ŸŽฎAI Agents in AIVille Game
    • ๐Ÿค–Roles in AIVille
    • ๐Ÿš‚Core Gameplay Loops in AIVille
  • AIVille Evolution
    • ๐ŸšจThe Current Limitations in AI and dApp Integration
    • ๐Ÿค–The Rise of eMCP
      • ๐Ÿ”–eMCP: The Bridge Between AI and Blockchain
      • ๐Ÿš€The Evolution of AIVille
    • ๐Ÿง—โ€โ™€๏ธAIVille: From AI Simulation to Web3 MCP Infrastructure to AI Game Framework
      • ๐ŸPhase 1: AI-Native Simulation on BNB Chain
      • ๐ŸPhase 2: Multi-Chain AI Agent Coordination
      • ๐ŸPhase 3: eMCP Infrastructure Layer for Web3
      • ๐ŸPhase 4: Modular AI Framework for Web3 Games
  • Architecture and Highlights
    • โ›“๏ธAIVille System Architecture
    • ๐Ÿ’ŽDesign Highlights
  • TOKENOMICS
    • ๐Ÿ’ธDual-Token Economics
      • ๐Ÿ’ต$DINAR (In-game & AI Behavioral Token)
      • ๐Ÿ’ต$AGT (Governance & Utility Token)
      • โžฐValue Creation Loops
      • ๐ŸŒ‰Cross-Chain Design & Expansion
      • โœˆ๏ธGovernance & Treasury
  • ROADMAP
    • ๐ŸŒณAIVille Roadmap
  • Official
    • ๐Ÿ–‡๏ธOfficial Links
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  1. Welcome to AIVille

The Genesis of AIVille

NextArchitecture of Generative Agents

Last updated 11 days ago

The genesis of AIVille lies in a bold question: What if AI agents could truly live, grow, and relate โ€” not through scripts, but through memory and experience? Inspired by Stanfordโ€™s โ€œSmallvilleโ€ generative agents experiment, AIVille emerges as a living simulation โ€” a digital town where AI-driven characters evolve autonomously through interaction, reflection, and adaptation.

AIVille takes root in the concept of Generative Agents, โ€”the autonomous entities that simulate human-like behavior with memory, reasoning, and intent. Built on large language model (LLM) architecture, AIVille enables virtual agents to record their lived experiences in natural language, gradually synthesizing them into higher-order reflection and autonomous decision-making.

These agents retrieve contextually relevant memories and act independently. For example, one might pause to greet a familiar face, step into a tavern upon seeing it, or wait patiently outside a bathroom โ€” not due to pre-coded logic, but as a result of memory-informed, real-time planning.In this ever-evolving digital town, AIVille cultivates a new form of life: one where agents build relationships, spread information organically, and collaborate over time โ€” not as scripted NPCs, but as dynamic, self-directed participants in a shared world.

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