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.
@article{arxiv.2509.16713,
title = {OPEN-THEATRE: An Open-Source Toolkit for LLM-based Interactive Drama},
author = {Tianyang Xu and Hongqiu Wu and Weiqi Wu and Hai Zhao},
journal= {arXiv preprint arXiv:2509.16713},
year = {2025}
}