We present AniME, a director-oriented multi-agent system for automated long-form anime production, covering the full workflow from a story to the final video. The director agent keeps a global memory for the whole workflow, and coordinates several downstream specialized agents. By integrating customized Model Context Protocol (MCP) with downstream model instruction, the specialized agent adaptively selects control conditions for diverse sub-tasks. AniME produces cinematic animation with consistent characters and synchronized audio visual elements, offering a scalable solution for AI-driven anime creation.
@article{arxiv.2508.18781,
title = {AniME: Adaptive Multi-Agent Planning for Long Animation Generation},
author = {Lisai Zhang and Baohan Xu and Siqian Yang and Mingyu Yin and Jing Liu and Chao Xu and Siqi Wang and Yidi Wu and Yuxin Hong and Zihao Zhang and Yanzhang Liang and Yudong Jiang},
journal= {arXiv preprint arXiv:2508.18781},
year = {2025}
}