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        <title>Open-Theatre: An Open-Source Toolkit for LLM-based Interactive Drama</title>
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    <abstract>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.</abstract>
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%0 Conference Proceedings
%T Open-Theatre: An Open-Source Toolkit for LLM-based Interactive Drama
%A Xu, Tianyang
%A Wu, Hongqiu
%A Wu, Weiqi
%A Zhao, Hai
%Y Habernal, Ivan
%Y Schulam, Peter
%Y Tiedemann, Jörg
%S Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
%D 2025
%8 November
%I Association for Computational Linguistics
%C Suzhou, China
%@ 979-8-89176-334-0
%F xu-etal-2025-open
%X 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.
%U https://aclanthology.org/2025.emnlp-demos.31/
%P 453-460

Markdown (Informal)

[Open-Theatre: An Open-Source Toolkit for LLM-based Interactive Drama](https://aclanthology.org/2025.emnlp-demos.31/) (Xu et al., EMNLP 2025)

• Open-Theatre: An Open-Source Toolkit for LLM-based Interactive Drama (Xu et al., EMNLP 2025)

ACL

• Tianyang Xu, Hongqiu Wu, Weiqi Wu, and Hai Zhao. 2025. Open-Theatre: An Open-Source Toolkit for LLM-based Interactive Drama. In Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, pages 453–460, Suzhou, China. Association for Computational Linguistics.