Cerebrum (AIOS SDK): A Platform for Agent Development, Deployment, Distribution, and Discovery

2025-03-14

AI Summary

The autonomous LLM agent ecosystem lacks standardized infrastructure for development, deployment, distribution, and discovery, hindering its growth. To address this, we introduce the first open-source platform supporting the full lifecycle of LLM agents. Our approach features: (1) a novel modular four-layer SDK architecture; (2) a community-driven Agent Hub with version control and dependency management; and (3) an interactive web interface for testing and evaluation, integrating Chain-of-Thought, ReAct, and tool-augmented paradigms. The platform is built upon the AIOS kernel, unifying LLM invocation, memory management, state persistence, and tool orchestration. It supports seamless implementation of diverse mainstream agent architectures—including planner-executor, reflection-based, and hierarchical designs—significantly improving agent construction, sharing, and reuse efficiency. The platform is fully open-sourced and has been deployed in production with stable operation.

Technology Category

• Cognitive Modeling & Cognitive Systems: Agent Architectures
• Machine Learning: Large Multimodal Models (LMMs)
• Multiagent Systems: Modeling other Agents

Application Category

• Semantics and Knowledge: Data modeling to support human-machine intelligence, including LLMs agents, intelligent system behavior, explanations, and user-friendly interactions
• Search and Retrieval-Augmented AI: Search Tool Learning with LLM: Teaching LLMs to invoke search and make use of retrieved information
• Economics, Online Markets and Human Computation: Architectures and workflows that use LLMs for crowd work

Abstract

Autonomous LLM-based agents have emerged as a powerful paradigm for complex task execution, yet the field lacks standardized tools for development, deployment, distribution and discovery of agents. We present Cerebrum, an Agent SDK for AIOS 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; (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-use 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 agents. The live website is at https://app.aios.foundation, the code is at https://github.com/agiresearch/Cerebrum, and video is at https://app.aios.foundation/video-demo.

Problem

• Lack of standardized tools for agent development and deployment.
• Need for a unified platform for agent distribution and discovery.
• Requirement for flexible yet standardized frameworks for LLM-based agents.

Innovation

• Modular SDK for agent development
• Community-driven Agent Hub
• Interactive web interface for testing