LLM-Driven NPCs: Cross-Platform Dialogue System for Games and Social Platforms

NPCs in traditional games are often limited by static dialogue trees and a single platform for interaction. To overcome these constraints, this study presents a prototype system that enables large language model (LLM)-powered NPCs to communicate with players both in the game en vironment (Unity) and on a social platform (Discord). Dialogue logs are stored in a cloud database (LeanCloud), allowing the system to synchronize memory between platforms and keep conversa tions coherent. Our initial experiments show that cross-platform interaction is technically feasible and suggest a solid foundation for future developments such as emotional modeling and persistent memory support.

@article{song2025_2504.13928,
  title={ LLM-Driven NPCs: Cross-Platform Dialogue System for Games and Social Platforms },
  author={ Li Song },
  journal={arXiv preprint arXiv:2504.13928},
  year={ 2025 }
}