MegaCryptoPolis Transitions to AI Agent Gameplay
Written with artificial intelligence.
MegaCryptoPolis, the multichain simulation game launched in 2018, is shifting its focus to an AI agent model. Players will assign goals to their Citizens, who will autonomously manage tasks within the city economy.
Overview of the New Gameplay
The classic multichain simulation game MegaCryptoPolis is undergoing a significant transformation as it pivots towards an AI agent gameplay model. Players will now be able to assign specific goals to their Citizens, allowing them to work, trade, and manage assets within the established city economy. This shift marks a departure from the previous gameplay, where couriers managed deliveries for player-owned buildings.
AI-Controlled Citizens
In the new model, AI-controlled Citizens will take on economic roles autonomously. For instance, instructions could include tasks like "Find the most profitable work nearby, preserve enough stamina to return home, and reinvest half your earnings." This allows players to set overarching policies while the AI handles the specifics of execution.
Benefits of the Transition
This change will create a more dynamic game environment, transforming it into an idle simulation that keeps the city economically active without demanding extensive time investment from players. The game will support various AI models, such as Claude, Codex, Hermes, and OpenClaw, although players will be responsible for covering their own inference costs.
Upcoming Details
More information about this new gameplay will be available on October 26, including the release of a trailer. Players are encouraged to stay updated through the game's X account.