开源工具包让研究者轻松构建大模型驱动的互动戏剧。
OPEN-THEATRE: An Open-Source Toolkit for LLM-based Interactive Drama
- 采用多智能体架构与分层检索记忆系统，提升剧情连贯性。
- 支持复杂交互下的长期行为模拟，增强角色真实感。
- 提供可配置流程，适合游戏、叙事研究等方向探索。
基于大语言模型的互动戏剧是一种新对话场景，玩家化身角色与大模型代理共同推进戏剧情节。尽管该领域前景广阔，但因缺乏完善的开发环境而进展缓慢，阻碍了研究复现与扩展。为此，我们提出 Open-Theatre，首个开源的基于大模型的互动戏剧工具包。它通过高效的多智能体架构与分层检索记忆系统，优化叙事连贯性与复杂交互中的长期行为表现。同时，提供高度可配置的开发流程，便于研究人员快速构建并优化新方法。
原文摘要 · Abstract (English)
LLM-based Interactive Drama introduces a novel dialogue scenario in which the player immerses into a character and engages in a dramatic story by interacting with LLM agents. Despite the fact that this emerging area holds significant promise, it remains largely underexplored due to the lack of a well-designed playground to develop a complete drama. This makes a significant barrier for researchers to replicate, extend, and study such systems. Hence, we present Open-Theatre, the first open-source toolkit for experiencing and customizing LLM-based interactive drama. It refines prior work with an efficient multi-agent architecture and a hierarchical retrieval-based memory system, designed to enhance narrative coherence and realistic long-term behavior in complex interactions. In addition, we provide a highly configurable pipeline, making it easy for researchers to develop and optimize new approaches.
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