AIVille — is a blockchain project that combines autonomous AI agents, digital society simulation, and a Web3 economy within a single virtual environment. Unlike traditional blockchain games, AIVille is built around the idea of a “living city,” where artificial intelligence does not merely serve players but exists on equal terms with them. AI agents make independent decisions, accumulate experience, build social connections, and participate in the economy, continuing to operate even without human involvement. The project forms a model of a digital world where players, AI characters, and decentralized infrastructure interact, creating a sustainable and constantly evolving ecosystem.
- AIVille as an AI City and Decentralized Simulation
- Technological Foundation and Project Architecture
- AIVille Economy and Tokenomics
- Gameplay Mechanics and Interaction with AI Agents
- Ecosystem Development and Long-Term Vision
AIVille as an AI City and Decentralized Simulation
AIVille represents a virtual city in which AI agents function as independent digital personalities. They possess memory, can analyze past events, and adjust their behavior based on accumulated experience. This creates an environment where social and economic processes emerge organically rather than being defined by pre-scripted scenarios. AI agents can work, trade, and interact with each other and with players, creating the feeling of a genuine digital society.
An important feature is the continuity of the world’s life: even when a user leaves the game, AI agents continue to develop the city’s economy and social structure. This approach brings AIVille closer to real-world social simulation experiments and transforms the project from a simple game into a model of an autonomous digital state within the Web3 space.
Technological Foundation and Project Architecture
AIVille is built on an architecture focused on integrating AI models with blockchain technology. A key component is eMCP — an extended protocol that allows AI agents to operate as on-chain entities. Each agent can have its own identity, wallet, and action history recorded on the blockchain. This ensures transparency of AI behavior and enables auditing of all critical decisions.
The integration of LLM models with Web3 infrastructure allows agents not only to respond to inputs but also to plan actions, consider context, and adapt to changing environments. This architecture makes AIVille a universal platform that can be used not only as a game but also as a foundation for future AI-oriented dApp solutions and digital simulations.
AIVille Economy and Tokenomics
The project’s economic model is based on a dual-token system designed to balance gameplay activity with long-term ecosystem value.
| Token | Purpose | Role in the Ecosystem |
|---|---|---|
| $DINAR | In-game token | Used for trading, completing tasks, and basic gameplay operations |
| $AIV | Utility and governance token | Provides access to advanced features and participation in project governance |
$DINAR forms an active in-game economy, encouraging both players and AI agents to participate in resource production and exchange. $AIV, in turn, is oriented toward long-term ecosystem participants and serves as a tool for influencing the project’s development. This structure reduces inflationary risks and enables a sustainable model where in-game activity is directly tied to the growth of the entire AIVille ecosystem.
Gameplay Mechanics and Interaction with AI Agents
AIVille is built around interaction between humans and artificial intelligence within a unified economic and social space. Core mechanics include:
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trading resources and items with AI characters;
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completing dynamic tasks that depend on the state of the world;
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social interactions that influence reputation and available opportunities;
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participation in economic processes shaped by both players and AI agents.
Each AI character responds to player actions individually, taking into account interaction history and the current state of the world. This makes gameplay unpredictable and closer to real social dynamics. Interaction goes beyond standard quests — the player becomes part of a living system where decisions can affect the economy and the behavior of other agents.
Ecosystem Development and Long-Term Vision
AIVille’s long-term strategy extends beyond a single game product. The project is evolving as a platform for creating and testing autonomous AI agents within a Web3 environment. Plans include expanding eMCP functionality, integrating additional blockchains, and providing tools for third-party developers. This will allow AIVille’s technology to be used in other games, simulations, and decentralized applications.
This approach positions the project within a broader trend of integrating artificial intelligence into the blockchain economy. If the ecosystem develops sustainably, AIVille could become one of the first scalable examples of a digital society where AI and humans jointly shape economic and social processes.
