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[2602.20934] Architecting AgentOS: From Token-Level Context to Emergent System-Level Intelligence
Summary
The paper introduces AgentOS, a conceptual framework that transitions Large Language Models from static inference engines to dynamic cognitive systems, emphasizing system-level intelligence and context management.
Why It Matters
This research is significant as it addresses the evolving capabilities of AI, particularly in enhancing the architectural efficiency of cognitive systems. By proposing a structured framework, it lays the groundwork for future advancements in artificial general intelligence (AGI) and offers insights into managing complex AI interactions.
Key Takeaways
- AgentOS redefines LLMs as 'Reasoning Kernels' for improved cognitive processing.
- Introduces Deep Context Management, treating context as an Addressable Semantic Space.
- Proposes mechanisms like Semantic Slicing and Temporal Alignment to reduce cognitive drift.
- Maps classical OS concepts onto LLM constructs for enhanced system coordination.
- Highlights the importance of architectural efficiency in the development of AGI.
Computer Science > Artificial Intelligence arXiv:2602.20934 (cs) [Submitted on 24 Feb 2026] Title:Architecting AgentOS: From Token-Level Context to Emergent System-Level Intelligence Authors:ChengYou Li, XiaoDong Liu, XiangBao Meng, XinYu Zhao View a PDF of the paper titled Architecting AgentOS: From Token-Level Context to Emergent System-Level Intelligence, by ChengYou Li and 3 other authors View PDF HTML (experimental) Abstract:The paradigm of Large Language Models is undergoing a fundamental transition from static inference engines to dynamic autonomous cognitive this http URL current research primarily focuses on scaling context windows or optimizing prompt engineering the theoretical bridge between micro scale token processing and macro scale systemic intelligence remains this http URL paper proposes AgentOS,a holistic conceptual framework that redefines the LLM as a "Reasoning Kernel" governed by structured operating system this http URL to this architecture is Deep Context Management which conceptualizes the context window as an Addressable Semantic Space rather than a passive this http URL systematically deconstruct the transition from discrete sequences to coherent cognitive states introducing mechanisms for Semantic Slicing and Temporal Alignment to mitigate cognitive drift in multi-agent this http URL mapping classical OS abstractions such as memory paging interrupt handling and process scheduling onto LLM native constructs, this review provides a rigorous roadm...