CoComposer: LLM Multi-agent Collaborative Music Composition

arXiv (Cornell University)

Abstract

Existing AI Music composition tools are limited in generation duration, musical quality, and controllability. We introduce CoComposer, a multi-agent system that consists of five collaborating agents, each with a task based on the traditional music composition workflow. Using the AudioBox-Aesthetics system, we experimentally evaluate CoComposer on four compositional criteria. We test with three LLMs (GPT-4o, DeepSeek-V3-0324, Gemini-2.5-Flash), and find (1) that CoComposer outperforms existing multi-agent LLM-based systems in music quality, and (2) compared to a single-agent system, in production complexity. Compared to non- LLM MusicLM, CoComposer has better interpretability and editability, although MusicLM still produces better music.

Authors 3

1. Peiwen Xing Aachen

   Leiden University

   Affiliation as printed

   Leiden University , Netherlands

2. Aske Plaat Aachen

   Leiden University

   Affiliation as printed

   Leiden University , Netherlands

3. Bas van Stein Aachen

   Leiden University

   Affiliation as printed

   Leiden University , Netherlands