Explicitly tracking narrative state (characters, events, plot requirements) as a structured agent task enables LLMs to write coherent long-form stories without special training, scaling from short stories to novel-length works.
This paper introduces NstAgent, a framework that helps large language models write longer stories by tracking narrative elements like characters and plot points. The system maintains consistency across 10K-100K word stories without degrading quality, addressing a key challenge in scaling creative writing to full-length novels.