AIVille is currently one of the projects with the most experimental value in the intersection of AI + GameFi from a technological perspective.
AIVille is also the first AI-driven Web3 game project on the BSC ecosystem, where not only do the characters have intelligence and memory, but they can also truly influence the game's economy and storyline.
It has built a virtual town, where each AI character is based on the "MCP system" (Multi-Character Parallel) model: equipped with a memory system, emotional values, task logic, and a social network. AI can not only interact with players but also "influence each other's behavioral choices".
AIVille is not an ordinary Web3 game; it acts like an early-launch AI social simulator. If you want to participate in a world truly driven by AI and co-built by players, now is the best starting point.
If you missed the early airdrop or are temporarily not participating in community activities, there's no need to worry. You can still enter the game to earn money easily, earning $Dinar, which can then be exchanged for $AGT at the exchange window, with no fees throughout the process, completely "free".
Beyond technology, it currently:
cookie.fun mindshare was once first and received official promotional support from Binance Wallet; and ranks among the top 3 in the DApp square.
The token circulation is only 10.75%, with a very low market cap for $AGT; however, the liquidity pool has been stable for half a year, around $300,000.
It has only launched on PancakeSwap, and the team has clearly stated that they have applied for Binance Alpha, with expectations for significant listings.
Community users have surpassed 300,000, with over 13,000 AGT holders, and a very high level of activity.
Combining socially-driven narratives, agricultural economic systems, and AI multi-factor behavioral modeling, AIVille may not be suitable for "speculative quick in-and-out" users, but it is a prototype of a blockchain social system worth serious study.
In the future, AI Ville will accelerate technological iterations, enhance agents' decision-making abilities in complex environments, and explore more new models of coexistence between AI and humans.
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