by tobeatraceur · Agent Tool · ★ 50
Embodied LLM Agents Learn to Cooperate in Organized Teams Source codes for the paper: Guo, Xudong, Kaixuan Huang, Jiale Liu, Wenhui Fan, Natalia Vélez, Qingyun Wu, Huazheng Wang, Thomas L. Griffiths, and Mengdi Wang: Embodied LLM Agents Learn to Cooperate in Organized Teams Paper Website In this repo, we implement embodied and organized multi-LLM-agent teams in the environment VirtualHome to cooperate on household tasks. The agents can make decisions and communicate freely with each other based on LLMs.
| Stars | 50 |
| Forks | 7 |
| Language | Python |
| Category | Agent Tool |
| Quality Score | 60.8630770422065/100 |
| Open Issues | 2 |
| Last Updated | 2025-06-11 |
| Created | 2024-04-23 |
| Platforms | python |
| Est. Tokens | ~6613k |
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Organized-LLM-Agents is Embodied and organized multi-LLM-agent teams supporting communication for >3 agents. Source codes for the paper "Embodied LLM Agents Learn to Cooperate in Organized Teams".. It is categorized as a Agent Tool with 50 GitHub stars.
Organized-LLM-Agents is primarily written in Python.
You can find installation instructions and usage details in the Organized-LLM-Agents GitHub repository at github.com/tobeatraceur/Organized-LLM-Agents. The project has 50 stars and 7 forks, indicating an active community.