Awesome Multi-Agent Papers
A curated, actively updated list of notable research papers on multi-agent systems built with large language models, compiled by the Swarms research team.
Awesome Multi-Agent Papers curates research papers on the applications and architecture of multi-agent systems built from large language models. Rather than aiming for full coverage, the maintainers, the Swarms team, add a paper only when it introduces a distinctively new approach or concept, listing each entry with its name, a short description and a link.
The list groups papers under headings such as multi-agent collaboration and system design, covering topics like reasoning across agents, scaling language models to long context through multi-agent collaboration, agent operating systems, mixture-of-agents approaches, and agent evaluation and safety. It is maintained on GitHub with a companion Discord community for the Swarms research effort.