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

Balaji Rama, Kai Mei, Yongfeng Zhang

TL;DR

Cerebrum addresses the lack of a standardized platform for developing, deploying, distributing, and discovering autonomous LLM-based agents. It introduces an AIOS-integrated SDK built around a four-layer agent architecture (LLM, Memory, Storage, Tool), a lifecycle-managing Manager, and a community Agent Hub with versioning and dependency resolution, plus an interactive web interface for testing. The work offers (i) a modular, composable agent framework with an optional Overrides Layer and declarative agent specifications, (ii) a centralized, secure hub for sharing and discovering agents with version history and API endpoints, and (iii) practical demonstrations of CoT, ReAct, and tool-augmented agents to validate versatility. Together, these components aim to accelerate research and production deployment by standardizing development while enabling innovation and broad distribution across an open ecosystem.

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.

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

TL;DR

Cerebrum addresses the lack of a standardized platform for developing, deploying, distributing, and discovering autonomous LLM-based agents. It introduces an AIOS-integrated SDK built around a four-layer agent architecture (LLM, Memory, Storage, Tool), a lifecycle-managing Manager, and a community Agent Hub with versioning and dependency resolution, plus an interactive web interface for testing. The work offers (i) a modular, composable agent framework with an optional Overrides Layer and declarative agent specifications, (ii) a centralized, secure hub for sharing and discovering agents with version history and API endpoints, and (iii) practical demonstrations of CoT, ReAct, and tool-augmented agents to validate versatility. Together, these components aim to accelerate research and production deployment by standardizing development while enabling innovation and broad distribution across an open ecosystem.

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.

Paper Structure

This paper contains 23 sections, 5 equations, 4 figures.

Table of Contents

  1. Introduction
  2. Related Work
  3. Cerebrum Library Design
  4. Layer Architecture
  5. Large Language Model Layer
  6. Memory Layer
  7. Storage Layer
  8. Tool Layer
  9. Overrides Layer
  10. Manager Module
  11. Distribution, Version Control, Dependency Resolution
  12. Caching, Packaging
  13. Upload, Load, Download
  14. Client Interface and Auto-configuration
  15. Agent Standard
  16. ...and 8 more sections

Figures (4)

  • Figure 1: The architecture of Cerebrum on the basis of AIOS.
  • Figure 2: Cerebrum AgentHub Demo: https://app.aios.foundation/agenthub
  • Figure 3: AgentChat Page: https://app.aios.foundation/chat
  • Figure 4: Agent Details: https://app.aios.foundation/agents/example/academic_agent