AIOS is an operating system kernel that embeds large language models to facilitate the development and deployment of LLM-based AI agents.
The tool addresses resource management challenges that arise when building and running multiple AI agents, including scheduling, context switching, memory management, storage management, and tool orchestration. AIOS provides an abstraction layer over the operating system kernel, exposing these capabilities through system calls that agents invoke via the AIOS SDK. The kernel manages LLM cores, context, memory, storage, and tools as managed resources, allowing agents to request and utilize them through a unified interface. For computer-use agents, the architecture extends the kernel with a Virtual Machine Controller and MCP Server to create a sandboxed environment where agents can safely interact with computer systems.
Developers building multi-agent systems or applications requiring coordinated resource allocation across multiple LLM-based agents should consider this tool. It suits projects where agents need to share computational resources, manage context efficiently, or operate within constrained environments. The project includes both a kernel component and a separate SDK for agent development, with support for both Web UI and Terminal UI interfaces for interaction and monitoring.
The project maintains active engagement with its community through Discord and documentation channels. Development activity shows ongoing refinement of core kernel functionality and expansion of specialized architectures for different agent use cases, particularly in computer-use scenarios. The codebase demonstrates sustained work on resource management modules and the integration patterns between the kernel and SDK components.
