@inproceedings{rama-etal-2025-cerebrum,
title = "Cerebrum ({AIOS} {SDK}): A Platform for Agent Development, Deployment, Distribution, and Discovery",
author = "Rama, Balaji and
Mei, Kai and
Zhang, Yongfeng",
editor = "Dziri, Nouha and
Ren, Sean (Xiang) and
Diao, Shizhe",
booktitle = "Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (System Demonstrations)",
month = apr,
year = "2025",
address = "Albuquerque, New Mexico",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2025.naacl-demo.14/",
doi = "10.18653/v1/2025.naacl-demo.14",
pages = "135--142",
ISBN = "979-8-89176-191-9",
abstract = "Autonomous LLM-based agents have emerged as a powerful paradigm for complex task execution, yet the field lacks standardized tools for development, deployment, and distribution. We present Cerebrum, an open-source platform that addresses this gap through three key components: (1) a comprehensive SDK featuring a modular four-layer architecture for agent development, encompassing LLM, memory, storage, and tool management; (2) a community-driven Agent Hub for sharing and discovering agents, complete with version control and dependency management; and (3) an interactive web interface for testing and evaluating agents. The platform{'}s effectiveness is demonstrated through implementations of various agent architectures, including Chain of Thought (CoT), ReAct, and tool-augmented agents. Cerebrum advances the field by providing a unified framework that standardizes agent development while maintaining flexibility for researchers and developers to innovate and distribute their work. Live url for demo can be found at https://app.aios.foundation. Code can be found at https://github.com/agiresearch/Cerebrum. Video demo can be found at https://app.aios.foundation/video-demo."
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<abstract>Autonomous LLM-based agents have emerged as a powerful paradigm for complex task execution, yet the field lacks standardized tools for development, deployment, and distribution. We present Cerebrum, an open-source platform that addresses this gap through three key components: (1) a comprehensive SDK featuring a modular four-layer architecture for agent development, encompassing LLM, memory, storage, and tool management; (2) a community-driven Agent Hub for sharing and discovering agents, complete with version control and dependency management; and (3) an interactive web interface for testing and evaluating agents. The platform’s effectiveness is demonstrated through implementations of various agent architectures, including Chain of Thought (CoT), ReAct, and tool-augmented agents. Cerebrum advances the field by providing a unified framework that standardizes agent development while maintaining flexibility for researchers and developers to innovate and distribute their work. Live url for demo can be found at https://app.aios.foundation. Code can be found at https://github.com/agiresearch/Cerebrum. Video demo can be found at https://app.aios.foundation/video-demo.</abstract>
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%0 Conference Proceedings
%T Cerebrum (AIOS SDK): A Platform for Agent Development, Deployment, Distribution, and Discovery
%A Rama, Balaji
%A Mei, Kai
%A Zhang, Yongfeng
%Y Dziri, Nouha
%Y Ren, Sean (Xiang)
%Y Diao, Shizhe
%S Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (System Demonstrations)
%D 2025
%8 April
%I Association for Computational Linguistics
%C Albuquerque, New Mexico
%@ 979-8-89176-191-9
%F rama-etal-2025-cerebrum
%X Autonomous LLM-based agents have emerged as a powerful paradigm for complex task execution, yet the field lacks standardized tools for development, deployment, and distribution. We present Cerebrum, an open-source platform that addresses this gap through three key components: (1) a comprehensive SDK featuring a modular four-layer architecture for agent development, encompassing LLM, memory, storage, and tool management; (2) a community-driven Agent Hub for sharing and discovering agents, complete with version control and dependency management; and (3) an interactive web interface for testing and evaluating agents. The platform’s effectiveness is demonstrated through implementations of various agent architectures, including Chain of Thought (CoT), ReAct, and tool-augmented agents. Cerebrum advances the field by providing a unified framework that standardizes agent development while maintaining flexibility for researchers and developers to innovate and distribute their work. Live url for demo can be found at https://app.aios.foundation. Code can be found at https://github.com/agiresearch/Cerebrum. Video demo can be found at https://app.aios.foundation/video-demo.
%R 10.18653/v1/2025.naacl-demo.14
%U https://aclanthology.org/2025.naacl-demo.14/
%U https://doi.org/10.18653/v1/2025.naacl-demo.14
%P 135-142
Markdown (Informal)
[Cerebrum (AIOS SDK): A Platform for Agent Development, Deployment, Distribution, and Discovery](https://aclanthology.org/2025.naacl-demo.14/) (Rama et al., NAACL 2025)
ACL