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aios-cerebrum

Orchestrate AIOS kernel and Cerebrum SDK agents with inference backends.

Updated Jan 12, 2026
Search Tags:#ai agents#agent orchestration#ros2#localai#aios#cerebrum#agenthub
One-click install
npx skills add https://github.com/drdave-flexnetos/ripple-env --skill aios-cerebrum-drdave-flexnetos
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: aios-cerebrum
Source: https://github.com/drdave-flexnetos/ripple-env/tree/main/.claude/skills/aios-cerebrum
Command: npx skills add https://github.com/drdave-flexnetos/ripple-env --skill aios-cerebrum-drdave-flexnetos

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

AI agent developers need a reliable way to build, deploy, and orchestrate agents with consistent runtime services for memory, tools, storage, and inference.

Core Features & Use Cases

  • AIOS agent kernel: Runs an agent system as a kernel with syscall-like abstractions and a scheduler, memory, storage, and tool execution.
  • Cerebrum SDK for agent development: Provides an SDK pattern to implement agent entrypoints, define metadata, and connect tools and storage/memory APIs.
  • AgentHub toolchain operations: Supports listing, downloading, and uploading agents and tools for reuse and collaboration.
  • Integration in a multi-stack architecture: Works alongside orchestration layers like AGiXT and inference backends like LocalAI using OpenAI-compatible APIs.

Quick Start

Start LocalAI for inference, then start the AIOS kernel server, and run your first agent from an AgentHub or a local agent path using a task prompt.

Frequently Asked Questions about aios-cerebrum

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I orchestrate AI agents using a kernel and inference backend?▼

Orchestrating AI agents requires coupling the AIOS kernel with the Cerebrum SDK and an inference backend like LocalAI. This setup provides consistent runtime services for memory, tools, storage, and scheduling to execute agent workloads reliably.

What is the best way to build ROS2-aware AI agents?▼

Building ROS2-aware AI agents is achieved by using the Cerebrum SDK to implement agent entrypoints and define metadata. The SDK connects tools and storage APIs within the AIOS kernel to handle robotic workloads.

Does the AIOS Cerebrum SDK work with OpenAI-compatible inference APIs?▼

Yes, the AIOS Cerebrum SDK works with OpenAI-compatible APIs. It integrates seamlessly with LocalAI and similar inference backends to process agent tasks and manage local or remote workloads.

How do I manage and reuse AI agent packages through an agent hub?▼

Managing agent packages through an agent hub involves using the AgentHub toolchain operations. You can list, download, and upload agents and tools for reuse and collaboration directly via provided CLI commands.

Do I need a running AIOS kernel server to execute local agent workloads?▼

Yes, executing local agent workloads requires a running AIOS kernel server with defined ports and URLs. You must also configure inference connectivity and agent entrypoints before running tasks via CLI.

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