arxiv:2504.13928

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

Published on Apr 14

Authors:

Li Song

Abstract

A prototype system integrates large language models with NPCs to enable cross-platform interaction, storing dialogue logs in the cloud to maintain coherent conversations.

AI-generated summary

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.

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