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This is the closest I’ve seen of a scalable AI/LLM Operating System - it has all the major ingredients of a feasible AI OS 1 architecture:
This is the closest I’ve seen of a scalable AI/LLM Operating System - it has all the major ingredients of a feasible AI OS 1 architecture:
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- Extends classical OS functionalities with an LLM Kernel.
- Extends classical OS functionalities with an LLM Kernel.
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- Multi agent-centric approach.
- Multi agent-centric approach.
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- Optimized resource allocation system that allows for LLM-based tasks and Classical OS tasks to coexist.
- Optimized resource allocation system that allows for LLM-based tasks and Classical OS tasks to coexist.
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- An Agent Scheduler that can perform classical os operations (FIFO, RR).
- An Agent Scheduler that can perform classical os operations (FIFO, RR).
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- A Context Manager to improve alignment.
- A Context Manager to improve alignment.
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- Lazy Memory Manager for agents (ensures data is stored and accessible only while the agent is active)
- Lazy Memory Manager for agents (ensures data is stored and accessible only while the agent is active)
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- An Enhanced security module for the AI-driven environment.
- An Enhanced security module for the AI-driven environment.
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It does hit all checkpoints, doesn’t it? An upscale version of 
It does hit all checkpoints, doesn’t it? An upscale version of 
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@karpathy
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’s.
’s.
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Code: 
Code: 
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https://github.com/agiresearch/AIOS
https://github.com/agiresearch/AIOS
This is the closest I’ve seen of a scalable AI/LLM Operating System - it has all the major ingredients of a feasible AI OS 1 architecture:

- Extends classical OS functionalities with an LLM Kernel.
- Multi agent-centric approach.
- Optimized resource allocation system that allows for LLM-based tasks and Classical OS tasks to coexist.
- An Agent Scheduler that can perform classical os operations (FIFO, RR).
- A Context Manager to improve alignment.
- Lazy Memory Manager for agents (ensures data is stored and accessible only while the agent is active)
- An Enhanced security module for the AI-driven environment.

It does hit all checkpoints, doesn’t it? An upscale version of @karpathy’s.

Code: https://github.com/agiresearch/AIOS
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