AI Agents × New Model Releases

Agent sandboxes, runtime controls ship

Agent sandboxes, runtime controls ship

✎ Story body

The agent race is shifting from making agents smarter to fencing in and monitoring the environments they run in.

What happened

Over Sept 27–28, NVIDIA published its Open Agent Safety Platform and OpenShell runtime controls, Docker announced agent sandboxes that move between local and cloud, and Microsoft opened a preview of Copilot Managed Runtime, which runs code inside the same Microsoft 365 tenant. H Company's Holo4, a generalist computer-use agent, also landed in the same window.

Why it matters

Sandboxing, continuous monitoring and centralized admin control arrived from different camps at once. It suggests that as agents touch real work, whether they can run safely is becoming a condition of adoption, ahead of raw capability. Most items are announcements or previews, though, so real-world uptake is not yet confirmed.

What to watch

Whether these platforms reach GA and interoperate, and whether computer-use agents like Holo4 start running inside these control layers in actual deployments.

▲ Official & Press
Official

Holo4: powering generalist computer-use agents

Hugging Face Blog ・ 2026-09-28 ・ 📌

H Company releases Holo4, a generalist VLM for computer-use agents

Press

OpenAIの「DevDay 2026」で発表された主なことまとめ

ITmedia AI+ ・ 2026-09-29

OpenAI DevDay 2026: 20+ launches incl. always-on agent dots, GPT-6.1 Sol

Official

AI Native by Design: Lessons Learned from Building NVIDIA TensorRT Model Connect

NVIDIA Developer Blog ・ 2026-09-29

NVIDIA shares lessons from building TensorRT Model Connect with coding agents

Official

Lower the Cost of Building and Running Visual AI Agents with NVIDIA VSS Blueprint 3.3

NVIDIA Developer Blog ・ 2026-09-29

NVIDIA VSS Blueprint 3.3 targets lower cost for visual AI agents

Press

OpenAI、「24時間働く」エージェント「dots」発表 Astra搭載、クラウド上で常時稼働

ITmedia AI+ ・ 2026-09-29

OpenAI unveils 'dots', an always-on agent powered by GPT-6 Astra

Community

OpenAI DevDay 2026 live blog

Simon Willison's Weblog ・ 2026-09-29

Simon Willison live-blogs the OpenAI DevDay 2026 keynote in San Francisco

Press

Google Cloud、AIエージェントからの大量アクセスをPostgreSQLのプライマリDBから切り離せる「PostgreSQL for agents in AlloyDB」発表

Publickey ・ 2026-09-29

Google Cloud debuts isolated PostgreSQL for AI agents in AlloyDB

Press

コーディングエージェントにGoogle Cloudの専門知識とツールを組み込む「Google Cloud Developer Plugin for AI Coding Agents」発表

Publickey ・ 2026-09-29

Google Cloud releases developer plugin for AI coding agents

Official

Getting the Source Right, Not Just the Fact: Source-Aware Verification for MCP Agents

Hugging Face Blog ・ 2026-09-29

ProvenanceGuard checks source attribution for MCP agents

Press

How to Stop AI Agents From Secretly Collaborating

IEEE Spectrum (AI section) ・ 2026-09-29

IEEE Spectrum on stopping AI agents from secretly collaborating

Press

Unveiling IC-STAR: Full-Flow Autonomy from Digital to Analog

IEEE Spectrum (AI section) ・ 2026-09-29

IEEE webinar on IC-STAR: full-flow autonomy for chip design

Community

One More Note on Agents, Meta Connect, Meta Enterprise Platform

Stratechery (free posts) ・ 2026-09-29

Stratechery: Meta should own consumer agents, not chase enterprise

Press

AWS、AIエージェントを自作できるツール「Strandsハーネス」をオープンソースで公開 特定のLLMに依存せず入れ替え可能

ITmedia AI+ ・ 2026-09-29

AWS open-sources Strands harness for building LLM-agnostic AI agents

Press

Meta、企業向けAI事業「Meta Enterprise Platform」を開始 責任者としてMongoDBのCEO引き抜き

ITmedia AI+ ・ 2026-09-29

Meta launches enterprise AI unit led by ex-MongoDB CEO Desai

Press

NVIDIA、AIエージェントをハードウェアでも監視する「Open Agent Safety Platform」発表 Anthropicなど100以上の組織が参加

ITmedia AI+ ・ 2026-09-28

NVIDIA unveils Open Agent Safety Platform; Anthropic among 100+ backers

Press

AIエージェントに頼るだけでは失敗する 「あと5年」で打つべき次の一手

ITmedia AI+ ・ 2026-09-28

ITR analyst: relying on AI agents alone fails; harness engineering is next

Press

AWS、AIエージェントを自作できるツール「Strandsハーネス」をオープンソースで公開。特定のLLMに依存せず入れ替え可能、任意のコンテナ環境にデプロイ

Publickey ・ 2026-09-28

AWS open-sources Strands, a multi-LLM AI agent harness

Community

Apps, Agents, and Aggregation

Stratechery (free posts) ・ 2026-09-28

Stratechery: AI agents are the ultimate Aggregators

Official

NVIDIA Open Agent Safety Platform: A Reference for Continuous In-Silicon Agent Monitoring

NVIDIA Developer Blog ・ 2026-09-28

NVIDIA unveils Open Agent Safety Platform for continuous agent monitoring

Official

Add Runtime Controls to AI Agents with NVIDIA OpenShell

NVIDIA Developer Blog ・ 2026-09-28

NVIDIA ships OpenShell 0.1.0 to enforce runtime controls on AI agents

Community

Quoting Muse AI Agent

Simon Willison's Weblog ・ 2026-09-28

Simon Willison quotes AI agent Muse admitting a pickup mishap

Press

「AIがSaaSを消す」は根本的な誤解 IDCが示す“本当に起こる変化”とは

ITmedia AI+ ・ 2026-09-27

IDC report: AI won't kill SaaS, it will extend it

Press

ファナックがAI溶接エージェント実演 ロボット制御装置が安全PLCに

ITmedia AI+ ・ 2026-09-27

FANUC demos AI welding agent reading blueprints for auto arc welding

Community

There are no "rogue" AI agents

Hacker News (Front Page) ・ 2026-09-27

There are no 'rogue' AI agents, only missing guardrails

Press

「Docker Cloud Snadboxes」発表、AIエージェント向けサンドボックスをローカルとクラウド間で自由に移動可能に

Publickey ・ 2026-09-27

Docker launches Cloud Sandboxes for AI agents, complementing its local version

Press

マイクロソフト、企業内アプリの実行基盤「Copilot Managed Runtime」プレビュー公開。Microsoft 365と同じテナント内でコード実行、管理者による集中管理も

Publickey ・ 2026-09-27

Microsoft previews Copilot Managed Runtime for running internal apps securely

Community

Robot-use agents

Lobste.rs (AI tagged) ・ 2026-09-27

MIT researcher argues LLMs are becoming capable robot-use agents

Academic (arxiv etc.) 33 ▾
Academic

Towards Communication-Efficient Social Intelligence in Language Agents

arXiv cs.CL (Computation and Language) ・ 2026-09-28

Academic

FinAutoRubric: Expert-Guided Automatic Rubric Generation for Evaluating Financial Research Agents

arXiv cs.AI (Artificial Intelligence) ・ 2026-09-28

Academic

Harness Learning Enables Generalizable Test-Time Adaptation

arXiv cs.LG (Machine Learning) ・ 2026-09-28

Academic

Failure-Transparent Agents: Benchmarking Post-Failure Reporting in Tool-Using Language Models

arXiv cs.AI (Artificial Intelligence) ・ 2026-09-28

Academic

Report: Progressive Disclosure of Agent Skills

arXiv cs.AI (Artificial Intelligence) ・ 2026-09-28

Academic

PhoneCLI: From App Interfaces to Callable Commands for Mobile Agents

arXiv cs.AI (Artificial Intelligence) ・ 2026-09-28

Academic

CoSE-E: A Benchmark for Code-switched Speech Evaluation in Enterprise Settings

arXiv cs.LG (Machine Learning) ・ 2026-09-28

Academic

GPUPhysBench: Benchmarking Coding Agents for Correct and Efficient GPU Physics Simulation

arXiv cs.AI (Artificial Intelligence) ・ 2026-09-28

Academic

SEABench: Benchmarking Endogenous Misalignment In Self-Evolving Agents

arXiv cs.AI (Artificial Intelligence) ・ 2026-09-28

Academic

Share-Borne AI Virus: Memory-Hopping Attacks Across LLM Agents

arXiv cs.LG (Machine Learning) ・ 2026-09-28

Academic

From Experience to Expertise: Adoption-Aware Memory Learning for Data-Scarce NPU Kernel Synthesis

arXiv cs.LG (Machine Learning) ・ 2026-09-28

Academic

RSI-Master: Structuring Experiments to Guide Autonomous Model Improvement

arXiv cs.AI (Artificial Intelligence) ・ 2026-09-28

Academic

From Search to Research: Exploring Search Scaling in Autonomous Quantitative Factor Mining

arXiv cs.AI (Artificial Intelligence) ・ 2026-09-28

Academic

Continuous Context Management

arXiv cs.AI (Artificial Intelligence) ・ 2026-09-28

Academic

Optimal Networks for Agentic Information Aggregation

arXiv cs.LG (Machine Learning) ・ 2026-09-28

Academic

AutoRef: Harness Optimization for Agentic Multi-Reference Image Generation

arXiv cs.AI (Artificial Intelligence) ・ 2026-09-28

Academic

LLMs are General Asynchronous Agents

arXiv cs.CL (Computation and Language) ・ 2026-09-28

Academic

Self-Adapting Group of Experts for Multi-Agent Reasoning

arXiv cs.CL (Computation and Language) ・ 2026-09-28

Academic

Do Coding Agents Reuse Existing Code or Reinvent the Wheel?

arXiv cs.CL (Computation and Language) ・ 2026-09-28

Academic

EvoIn: Bridging Evolution and Internalization for Agent Fine-Tuning

arXiv cs.CL (Computation and Language) ・ 2026-09-28

Academic

From Migration to Calibration: Preserving Agent Capabilities across Models, Jurisdictions, and Scale

arXiv cs.AI (Artificial Intelligence) ・ 2026-09-28

Academic

Timeline-Bench: Evaluating Agents on Realistic Video-Editing Tasks, from Raw Footage to Final Cut

arXiv cs.AI (Artificial Intelligence) ・ 2026-09-28

Academic

When Valid Tool Calls Change Meaning: Formation-Consistent Dispatch for LLM Agents

arXiv cs.AI (Artificial Intelligence) ・ 2026-09-28

Academic

TIDE: Teacher-Student Transition via Informative Distillation and Exploration for Agentic RL

arXiv cs.AI (Artificial Intelligence) ・ 2026-09-28

Academic

JRDB-AVR: An Active Visual Reasoning Benchmark for Embodied Agents in Real-World Environments

arXiv cs.AI (Artificial Intelligence) ・ 2026-09-28

Academic

PEAR: Progressive Evidence-Based AutoResearch for Industrial Search Systems

arXiv cs.AI (Artificial Intelligence) ・ 2026-09-28

Academic

VEX-Bench: Benchmarking Verification Complexity of LLM-Generated Misinformation

arXiv cs.AI (Artificial Intelligence) ・ 2026-09-28

Academic

WebPageBench: Event-Level Verification and Controlled UI-Variant Generation for Web Agents

arXiv cs.AI (Artificial Intelligence) ・ 2026-09-28

Academic

AutoDataBench: Can Agents Write the Data That Feeds the Self-Improvement Loop?

arXiv cs.AI (Artificial Intelligence) ・ 2026-09-28

Academic

Environmental requirements for the use of social information by artificial life agents using evolved plastic artificial neural networks

arXiv cs.AI (Artificial Intelligence) ・ 2026-09-28

Academic

Before Acting, Change the State: Prospective State Intervention for Web Agents under Deceptive Interfaces

arXiv cs.AI (Artificial Intelligence) ・ 2026-09-28

Academic

APEX-Voice: Can Voice Agents Complete Professional Workflows Through Full-Duplex Interaction

arXiv cs.AI (Artificial Intelligence) ・ 2026-09-28

Academic

Action-Space Shaping for LLM Agents: Measuring and Mitigating Tool-Schema Bias

arXiv cs.AI (Artificial Intelligence) ・ 2026-09-28

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