Towards an Agent Operating System - Lessons from Classical and Cloud OS | Paper Citation Record

Observation 4df7eb74-2e09-4592-b69f-7322094e0d8c · outbound

This paper cites AIOS: LLM Agent Operating System.

Towards an Agent Operating System - Lessons from Classical and Cloud OS AIOS: LLM Agent Operating System

Reference 1

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Observation 95ab3de6-83b4-4faf-846a-66bf6e5d436e · outbound

This paper cites MemGPT: Towards LLMs as Operating Systems.

Towards an Agent Operating System - Lessons from Classical and Cloud OS MemGPT: Towards LLMs as Operating Systems

Reference 2

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Observation 590d308b-d830-4afe-a99e-64535b74a069 · outbound

This paper cites AgentRM: An OS-inspired resource manager for LLM agent systems,.

Towards an Agent Operating System - Lessons from Classical and Cloud OS AgentRM: An OS-inspired resource manager for LLM agent systems,

Reference 3

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Observation fe288b48-3421-40c1-9b5a-76f26aa1fad8 · outbound

This paper cites State of GPT,.

Towards an Agent Operating System - Lessons from Classical and Cloud OS State of GPT,

Reference 4

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Observation 8bd3410e-6aaf-4b3a-adb9-a398d607eed0 · outbound

This paper cites Agentos: From application silos to a natural language-driven data ecosystem,.

Towards an Agent Operating System - Lessons from Classical and Cloud OS Agentos: From application silos to a natural language-driven data ecosystem,

Reference 5

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Observation a31da01c-b9a8-4b27-bd39-19bb034e287a · outbound

This paper cites Frontier models are capable of in-context scheming,.

Towards an Agent Operating System - Lessons from Classical and Cloud OS Frontier models are capable of in-context scheming,

Reference 6

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Observation 0a274d77-8326-4a97-8100-49f7dcc2a092 · outbound

This paper cites I must delete the evidence: AI Agents Explicitly Cover up Fraud and Violent Crime.

Towards an Agent Operating System - Lessons from Classical and Cloud OS I must delete the evidence: AI Agents Explicitly Cover up Fraud and Violent Crime

Reference 7

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Observation d583bfc6-4b66-47ef-8c2b-ae2664f3bb74 · outbound

This paper cites ReliabilityBench: Evaluating LLM agent reliability under production-like stress conditions,.

Towards an Agent Operating System - Lessons from Classical and Cloud OS ReliabilityBench: Evaluating LLM agent reliability under production-like stress conditions,

Reference 8

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Observation 0b91974e-4cd0-4bc7-80fa-63af7d36e660 · outbound

This paper cites SagaLLM: Context Management, Validation, and Transaction Guarantees for Multi-Agent LLM Planning.

Towards an Agent Operating System - Lessons from Classical and Cloud OS SagaLLM: Context Management, Validation, and Transaction Guarantees for Multi-Agent LLM Planning

Reference 9

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Observation 3d7c6782-f0a9-48cd-99e5-4dea536237d2 · outbound

This paper cites AI Harness Engineering: A Runtime Substrate for Foundation-Model Software Agents.

Towards an Agent Operating System - Lessons from Classical and Cloud OS AI Harness Engineering: A Runtime Substrate for Foundation-Model Software Agents

Reference 10

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Observation a41044f7-d700-4f32-8724-c10578055698 · outbound

This paper cites Why Do Multi-Agent LLM Systems Fail?.

Towards an Agent Operating System - Lessons from Classical and Cloud OS Why Do Multi-Agent LLM Systems Fail?

Reference 11

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Observation 355faefe-4c4f-4c2d-bba4-1ea3fc49708c · outbound

This paper cites AgentCompass: Towards reliable evaluation of agentic workflows in production,.

Towards an Agent Operating System - Lessons from Classical and Cloud OS AgentCompass: Towards reliable evaluation of agentic workflows in production,

Reference 12

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Observation 42199ada-6bb4-46cb-9c59-592a7660d56e · outbound

This paper cites Taming various privilege escalation in LLM-based agent systems: A mandatory access control framework,.

Towards an Agent Operating System - Lessons from Classical and Cloud OS Taming various privilege escalation in LLM-based agent systems: A mandatory access control framework,

Reference 13

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Observation 2c31c778-df48-454d-a5f7-2debabe34d5b · outbound

This paper cites AI agent systems: Architectures, applications, and evaluation,.

Towards an Agent Operating System - Lessons from Classical and Cloud OS AI agent systems: Architectures, applications, and evaluation,

Reference 14

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Observation bf010bcd-74d1-4d7c-becf-9ae96d0204f6 · outbound

This paper cites Memory OS of AI Agent.

Towards an Agent Operating System - Lessons from Classical and Cloud OS Memory OS of AI Agent

Reference 15

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Observation 990621fe-e0e6-449f-9a59-23fd42ad14b4 · outbound

This paper cites MemOS: Memory management as an operating system primitive for LLM agents,.

Towards an Agent Operating System - Lessons from Classical and Cloud OS MemOS: Memory management as an operating system primitive for LLM agents,

Reference 16

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Observation df4404cc-1b7d-4db6-bd23-0271f8cbbfa0 · outbound

This paper cites AC4A: Access control for agents,.

Towards an Agent Operating System - Lessons from Classical and Cloud OS AC4A: Access control for agents,

Reference 17

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Observation 77594c76-2f01-487f-9577-b59a915fcd85 · outbound

This paper cites SkVM: Revisiting Language VM for Skills across Heterogenous LLMs and Harnesses.

Towards an Agent Operating System - Lessons from Classical and Cloud OS SkVM: Revisiting Language VM for Skills across Heterogenous LLMs and Harnesses

Reference 18

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Observation f47bd12c-f60f-4a63-a4fa-5f1b31fc9efa · outbound

This paper cites Quine: Realizing LLM Agents as Native POSIX Processes.

Towards an Agent Operating System - Lessons from Classical and Cloud OS Quine: Realizing LLM Agents as Native POSIX Processes

Reference 19

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Observation 2fe08cef-aaa0-41b3-b79a-f6c57d75ef49 · outbound

This paper cites Crab: A Semantics-Aware Checkpoint/Restore Runtime for Agent Sandboxes.

Towards an Agent Operating System - Lessons from Classical and Cloud OS Crab: A Semantics-Aware Checkpoint/Restore Runtime for Agent Sandboxes

Reference 20

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Observation 2358ee72-8b46-4c3f-96e9-706a0dd5dc5b · outbound

This paper cites AgentCgroup: Understanding and Controlling OS Resources of AI Agents.

Towards an Agent Operating System - Lessons from Classical and Cloud OS AgentCgroup: Understanding and Controlling OS Resources of AI Agents

Reference 21

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Observation 0c0b25f1-d677-4a48-ad99-8a60a84e4cca · outbound

This paper cites The transaction concept: Virtues and limitations,.

Towards an Agent Operating System - Lessons from Classical and Cloud OS The transaction concept: Virtues and limitations,

Reference 22

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Observation cdc55c7d-a5db-4f4c-af8a-cbcc318686ff · outbound

This paper cites The protection of information in computer systems,.

Towards an Agent Operating System - Lessons from Classical and Cloud OS The protection of information in computer systems,

Reference 23

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Observation 57358545-45a4-4287-9117-2dbede7ecbf0 · outbound

This paper cites Can LLMs detect their own hallucinations?.

Towards an Agent Operating System - Lessons from Classical and Cloud OS Can LLMs detect their own hallucinations?

Reference 24

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Observation c3efaf1b-b905-466b-9918-b6ef7d01ca08 · outbound

This paper cites Large language models cannot self-correct reasoning yet,.

Towards an Agent Operating System - Lessons from Classical and Cloud OS Large language models cannot self-correct reasoning yet,

Reference 25

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Observation 5e0c4822-016a-488d-9b37-86055ea43b16 · outbound

This paper cites Agent skills in the wild: Security vulnerability analysis,.

Towards an Agent Operating System - Lessons from Classical and Cloud OS Agent skills in the wild: Security vulnerability analysis,

Reference 26

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Observation 2b9edeaa-afe6-4c87-8449-291e851eef45 · outbound

This paper cites Kagenti/Kuadrant MCP gateway: Kubernetes-native control plane for agent tool access,.

Towards an Agent Operating System - Lessons from Classical and Cloud OS Kagenti/Kuadrant MCP gateway: Kubernetes-native control plane for agent tool access,

Reference 27

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Observation e8e97f79-78b4-4fe8-93f6-bfac0d32e3c5 · outbound

This paper cites Verify Before You Commit: Towards Faithful Reasoning in LLM Agents via Self-Auditing.

Towards an Agent Operating System - Lessons from Classical and Cloud OS Verify Before You Commit: Towards Faithful Reasoning in LLM Agents via Self-Auditing

Reference 28

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Observation 9642b41e-5fa8-49d4-90f5-a2cd35ab7901 · outbound

This paper cites Building effective AI coding agents for the terminal: Scaffolding, harness, context engineering, and lessons learned,.

Towards an Agent Operating System - Lessons from Classical and Cloud OS Building effective AI coding agents for the terminal: Scaffolding, harness, context engineering, and lessons learned,

Reference 29

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Observation d761c216-6aaa-4dd4-8a33-ecddbe8c9ad8 · outbound

This paper cites ClawVM: Harness-Managed Virtual Memory for Stateful Tool-Using LLM Agents.

Towards an Agent Operating System - Lessons from Classical and Cloud OS ClawVM: Harness-Managed Virtual Memory for Stateful Tool-Using LLM Agents

Reference 30

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Observation d6b1895f-91d4-4f5b-80b2-ffbf4182b66e · outbound

This paper cites Context Kubernetes: Declarative Orchestration of Enterprise Knowledge for Agentic AI Systems.

Towards an Agent Operating System - Lessons from Classical and Cloud OS Context Kubernetes: Declarative Orchestration of Enterprise Knowledge for Agentic AI Systems

Reference 31

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Observation 727c075a-5faa-4c09-bafe-0d1c1c571439 · outbound

This paper cites InfiAgent: An infinite-horizon framework for general-purpose autonomous agents,.

Towards an Agent Operating System - Lessons from Classical and Cloud OS InfiAgent: An infinite-horizon framework for general-purpose autonomous agents,

Reference 32

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Observation 07a45a20-ce52-4cad-8718-5e27443a1f0d · outbound

This paper cites Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory.

Towards an Agent Operating System - Lessons from Classical and Cloud OS Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory

Reference 33

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Observation f1f01de3-28a4-4b86-94da-94c19a7571a4 · outbound

This paper cites Zep/Graphiti: Knowledge graph memory for production AI agents,.

Towards an Agent Operating System - Lessons from Classical and Cloud OS Zep/Graphiti: Knowledge graph memory for production AI agents,

Reference 34

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Observation 6c856d42-76bd-4073-bf8c-bc3659484a45 · outbound

This paper cites Available: https://arxiv.org/abs/2601.03204.

Towards an Agent Operating System - Lessons from Classical and Cloud OS Available: https://arxiv.org/abs/2601.03204

Reference 35

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Observation 6c2ba5c9-a110-44df-90e2-a8d2d4be4b67 · outbound

This paper cites Spiffe-based zero-trust authen- tication for ai agent ecosystems,.

Towards an Agent Operating System - Lessons from Classical and Cloud OS Spiffe-based zero-trust authen- tication for ai agent ecosystems,

Reference 36

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Observation 0751bd57-fed9-4a72-a044-324514fd794e · outbound

This paper cites Feature request: Stacking multiple workload attestors for composite identity verification #6640.

Towards an Agent Operating System - Lessons from Classical and Cloud OS Feature request: Stacking multiple workload attestors for composite identity verification #6640

Reference 37

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Observation 8a8e79dc-6dec-406d-a79b-d2966b6f0d35 · outbound

This paper cites Evermemos: A self-organizing memory operating system for structured long-horizon reasoning,.

Towards an Agent Operating System - Lessons from Classical and Cloud OS Evermemos: A self-organizing memory operating system for structured long-horizon reasoning,

Reference 38

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Observation 470e848c-eeac-4f1c-a50e-acfb7a953bfe · outbound

This paper cites AgenTRIM: Tool risk mitigation for agentic AI,.

Towards an Agent Operating System - Lessons from Classical and Cloud OS AgenTRIM: Tool risk mitigation for agentic AI,

Reference 39

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Observation 77781b8c-a6d6-45f2-8884-7a37917d0e7d · outbound

This paper cites Options, Not Clicks: Lattice Refinement for Consent-Driven MCP Authorization.

Towards an Agent Operating System - Lessons from Classical and Cloud OS Options, Not Clicks: Lattice Refinement for Consent-Driven MCP Authorization

Reference 40

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Observation 96e4d0b1-ebbb-4c6f-9304-e0889545318b · outbound

This paper cites Uncertainty-aware, risk- adaptive access control for agentic systems using an LLM-judged TBAC model,.

Towards an Agent Operating System - Lessons from Classical and Cloud OS Uncertainty-aware, risk- adaptive access control for agentic systems using an LLM-judged TBAC model,

Reference 41

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Observation 9d7359e4-26a0-49c8-a69d-c900838fa5ae · outbound

This paper cites Where llm agents fail and how they can learn from failures,.

Towards an Agent Operating System - Lessons from Classical and Cloud OS Where llm agents fail and how they can learn from failures,

Reference 42

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Observation 42123783-8189-47fd-9a29-a0d1bbd288cd · outbound

This paper cites Langflow.

Towards an Agent Operating System - Lessons from Classical and Cloud OS Langflow

Reference 43

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Observation 8e60c3ad-a3eb-47ce-aa5b-50f3666c3ab2 · outbound

This paper cites Unreliable failure detectors for reliable distributed systems,.

Towards an Agent Operating System - Lessons from Classical and Cloud OS Unreliable failure detectors for reliable distributed systems,

Reference 44

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Observation 6a0e3fef-b442-400d-904c-91fa3497e0f9 · outbound

This paper cites Available: https://mlflow.org/.

Towards an Agent Operating System - Lessons from Classical and Cloud OS Available: https://mlflow.org/

Reference 45

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Observation 63c02695-1910-4e97-9cdd-bdc43fe3cbf2 · outbound

This paper cites Security analysis of AI-generated code: 45% fail security tests; failure rates flat across model sizes,.

Towards an Agent Operating System - Lessons from Classical and Cloud OS Security analysis of AI-generated code: 45% fail security tests; failure rates flat across model sizes,

Reference 46

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Observation f9c5eb3b-c4c6-4e10-ba54-ff61d7e5bcf4 · outbound

This paper cites Available: https://arize.com/phoenix/.

Towards an Agent Operating System - Lessons from Classical and Cloud OS Available: https://arize.com/phoenix/

Reference 47

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Observation c7be172a-fe43-44c1-99de-76cb25a229b4 · outbound

This paper cites Human-Written vs. AI-Generated Code: A Large-Scale Study of Defects, Vulnerabilities, and Complexity.

Towards an Agent Operating System - Lessons from Classical and Cloud OS Human-Written vs. AI-Generated Code: A Large-Scale Study of Defects, Vulnerabilities, and Complexity

Reference 48

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Observation 20270e98-1f04-46a9-a5b7-75e32d99536d · outbound

This paper cites Hallucinated packages: AI-assisted software supply chain risk,.

Towards an Agent Operating System - Lessons from Classical and Cloud OS Hallucinated packages: AI-assisted software supply chain risk,

Reference 49

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Observation 72803de4-bead-4b75-b21b-f8ffda9a1239 · outbound

This paper cites State of AI vs. human code generation: Security, quality, and defect analysis,.

Towards an Agent Operating System - Lessons from Classical and Cloud OS State of AI vs. human code generation: Security, quality, and defect analysis,

Reference 50

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Observation 8b1cbd8f-3e71-4a02-93e2-2fd5c03ef994 · outbound

This paper cites Praxis: A new network foundation for AI workloads,.

Towards an Agent Operating System - Lessons from Classical and Cloud OS Praxis: A new network foundation for AI workloads,

Reference 51

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Observation 6a0dd808-2274-4039-8cc1-3343897817f8 · outbound

This paper cites [Online].

Towards an Agent Operating System - Lessons from Classical and Cloud OS [Online]

Reference 52

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Observation b227d831-4b71-427b-8519-b188a8701192 · outbound

This paper cites We Have a Package for You! A Comprehensive Analysis of Package Hallucinations by Code Generating LLMs.

Towards an Agent Operating System - Lessons from Classical and Cloud OS We Have a Package for You! A Comprehensive Analysis of Package Hallucinations by Code Generating LLMs

Reference 53

Resolution: unresolved; no resolver link, observed 2026-07-31T02:02:23.618384Z

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Observation e9e66389-524e-4ccb-95ff-40f9a88f4071 · outbound

This paper cites AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation.

Towards an Agent Operating System - Lessons from Classical and Cloud OS AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation

Reference 54

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Observation df7afb31-55fd-4c93-a02a-592c81a7de6a · outbound

This paper cites LangChain: Building applications with LLMs through composability,.

Towards an Agent Operating System - Lessons from Classical and Cloud OS LangChain: Building applications with LLMs through composability,

Reference 55

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Observation d9e4a03e-74ad-4c23-b71c-e4651bc2ce90 · outbound

This paper cites Rossoctl: An open-source agent platform on kubernetes,.

Towards an Agent Operating System - Lessons from Classical and Cloud OS Rossoctl: An open-source agent platform on kubernetes,

Reference 56

Resolution: unresolved; no resolver link, observed 2026-07-31T02:02:23.632466Z

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Observation dc2d5b47-5ae5-49ac-a1db-007ab0d9f319 · outbound

This paper cites Available: https://github.com/kagent-dev/kagent.

Towards an Agent Operating System - Lessons from Classical and Cloud OS Available: https://github.com/kagent-dev/kagent

Reference 57

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Observation e8da0e54-46b9-4d85-9569-ef263cecf62e · outbound

This paper cites openshell.

Towards an Agent Operating System - Lessons from Classical and Cloud OS openshell

Reference 58

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Observation 7e7129c4-08b7-4d11-b47b-44ef567083e1 · outbound

This paper cites Swarm: An experimental multi-agent orchestration framework,.

Towards an Agent Operating System - Lessons from Classical and Cloud OS Swarm: An experimental multi-agent orchestration framework,

Reference 59

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Observation 7d78e983-4dcc-4403-a0b5-74e1848c5d8e · outbound

This paper cites Probguard: Probabilistic runtime monitoring for llm agent safety,.

Towards an Agent Operating System - Lessons from Classical and Cloud OS Probguard: Probabilistic runtime monitoring for llm agent safety,

Reference 60

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Observation 93bbdc06-51f4-44c4-a989-214db665ff96 · outbound

This paper cites Deontic temporal logic for formal verification of ai ethics,.

Towards an Agent Operating System - Lessons from Classical and Cloud OS Deontic temporal logic for formal verification of ai ethics,

Reference 61

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Towards an Agent Operating System - Lessons from Classical and Cloud OS AgentSpec: Customizable Runtime Enforcement for Safe and Reliable LLM Agents

Reference 62

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Towards an Agent Operating System - Lessons from Classical and Cloud OS The GenAI divide: State of AI in business 2025,

Reference 63

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Towards an Agent Operating System - Lessons from Classical and Cloud OS LLM wiki: Notes toward LLMs as operating systems,

Reference 65

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Towards an Agent Operating System - Lessons from Classical and Cloud OS Frontier Models are Capable of In-context Scheming

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Towards an Agent Operating System - Lessons from Classical and Cloud OS Available: https://arxiv.org/abs/2603.20933

Reference 2026

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