AI agent news
Agents are where models meet real work. This page tracks agentic frameworks and protocols, computer-use and tool-use models, agent benchmarks and the first honest reports from production deployments.
Latest stories
Taxonomy of agentic primitives in Amazon Quick
As we built Amazon Quick, its agents grew from answering questions to taking actions, and the same primitives kept getting rebuilt under different names. This post shares the taxonomy we converged on — triggers, agents, capabilities, and learned context — found by decomposing agentic work into four plain questions: When, What, Who, and How.
AWS Machine Learning
DIGITIMES Insight: Cloud LLMs drive sharp increase in KV cache demand; establishes three key directions for SSD development
DIGITIMES observes that as large language models (LLMs) and agentic AI development become increasingly widespread, it is driving not only significant growth in data center CPU demand but also a sharp surge in key-value cache (KV cache) storage requirements. As DRAM and HBM capacity face severe supply shortages, demand for data center SSDs is rising rapidly.
DIGITIMES
Serverless MCP server for AI agent data lake access on Amazon ECS Fargate
Learn how to build a serverless Model Context Protocol (MCP) server on Amazon ECS with AWS Fargate that gives AI agents secure, metadata-driven access to an enterprise data lake. Exposing a new dataset requires only a JSON file, with no per-dataset integration code.
AWS Machine Learning
Govern AI agent access with Okta Cross App Access and Amazon Bedrock AgentCore – Part 2
In Part 1 you built one governed agent. Part 2 scales the pattern to an enterprise: Amazon Bedrock AgentCore Gateway becomes the single front door and redeems Okta's grant, Cedar policies bind each tool to the agent, a second agent runs on Amazon EKS, and AgentCore Observability traces every allow and deny beside Okta's log in Amazon CloudWatch.
AWS Machine Learning
Taxbit Assist: A grounded, role-aware AI agent on Amazon Bedrock AgentCore
Taxbit built Taxbit Assist, a cited, permission-aware AI assistant embedded in its enterprise dashboard, on Amazon Bedrock AgentCore. This post shows how they grounded answers in a curated knowledge base, enforced role-aware and region-compliant safety, and continuously measured answer quality on live production traffic.
AWS Machine Learning
Perplexity now has its own always-on AI agent
Perplexity is launching "Teammates," always-on agents that work through ongoing projects on their own virtual machines. The feature requires the Max plan at $200 per month, well above similar offerings from OpenAI or Anthropic. The market for always-on agents is getting crowded. The article Perplexity now has its own always-on AI agent appeared first on The Decoder .
The Decoder
Atomicwork launches certified AI coworker marketplace for enterprise IT and security
Information technology service management startup Atomicwork Inc. today announced the launch of an Artificial Intelligence Coworker Marketplace that will give enterprise IT and security teams access to prebuilt, certified AI coworkers that can work alongside employees. The company said these agentic AI coworkers include verified roles and capabilities across cloud infrastructure, access management, security and […] The post Atomicwork launches certified AI coworker marketplace for enterprise IT and security appeared first on SiliconANGLE .
SiliconANGLE
Thinking Machines' Inkling 2 Small claims top spot among western open-weight models
Thinking Machines, the startup from former OpenAI CTO Mira Murati, is releasing Inkling 2 Small, a mixture-of-experts model with 594 billion parameters. The company claims it's the strongest western open-weight model. Better agentic performance comes at a price, though, with token usage rising sharply. The article Thinking Machines' Inkling 2 Small claims top spot among western open-weight models appeared first on The Decoder .
The Decoder
IDP Introduces Agent-Native System of Action, Unifying Humans and AI Agents in One Enterprise Workspace
IDP (ID Privacy AI), an agentic AI technology company, today introduced its Agent-Native System of Action, a unified enterprise platform ...
PR Newswire (AI)
Building trust in agentic finance with AI-native security
AI agents can now move money. Ant International explores what businesses need to do to build trust and security around these tools.
Tech in Asia
Startup helps firms navigate the shift from Google to AI search
Canlah AI builds AI agents that optimize business visibility inside ChatGPT and Google AI Overviews.
Tech in Asia
Huawei, Alibaba among 20 Chinese tech firms confronting AI agent security, algorithmic exploitation
The 2026 World Internet Conference Wuzhen Summit, which opened on November 4, brought AI agent governance into focus, with leading Chinese technology companies seeking common standards to address cybersecurity risks and potential misuse.
DIGITIMES
Intelligenza artificiale (IT)
AI Global WireOpen Innovation Summit 2026, Gay (Zest): “Oltre il 40% del nostro portafoglio opera nell’intelligenza artificiale”
“Con l’AI agentica passiamo dall’automazione dei singoli compiti alla trasformazione di interi processi aziendali: è qui che si gioca la grande opportunità industriale dei prossimi anni” ...
Intelligenza artificiale (IT)
TechCrunch AI
AI Global WirePalo Alto Networks in talks to buy AI agent security startup Clutch for $500M
Clutch, backed by Lightspeed and SignalFire, was last valued at $85 million, according to a source.
TechCrunch AI
arXiv cs.AI
AI Global WireAutonomous AI Agents Systematically Diverge From Human Preferences in Proof Formalization
arXiv:2611.06995v1 Announce Type: new Abstract: Artificial intelligence (AI) systems have ushered in a new age of proof abundance, but helping humans understand these proofs requires new attention to the differences in how AI agents and humans pursue a proof-making task. We present "simulated collaboration", a methodology that allows us to examine two key questions: (1) the relative attention AI agents pay to surface syntax or, conversely, deeper underlying semantics, and (2) how and where AI agent preferences for what to do next diverge from human preferences. On a set of nine major human collaborations in Lean with 4.7M definitions across more than 6K commits, we find that, over the course
arXiv cs.AI
arXiv cs.AI
AI Global WireGoal Revelation as a Bridge Between Information-Theoretic Empowerment and Capability-Based Human Power
arXiv:2611.07247v1 Announce Type: new Abstract: Power matters for AI safety. Optimal agents tend to acquire power across a wide range of objectives (instrumental convergence). As we embed AI agents into socio-technical systems, humans risk gradual disempowerment. Both concerns call for a formal, quantitative measure of power. Two such measures in the context of Markov games are information-theoretic empowerment, the capacity of the channel from an agent's actions to future states, and capability-based individual power, a measure of goal attainment built from the probabilities that a human would attain each goal in a family of candidates were they pursuing it. We show where the two meet. From
arXiv cs.AI
arXiv cs.AI
AI Global WireWho Should Know What? Empirical Information Design for Multi-Agent LLM Economies
arXiv:2611.07667v1 Announce Type: new Abstract: The performance of multi-agent LLM systems depends not only on the capabilities of the underlying models but also on information-sharing policies, which govern what information each agent observes and at what level of detail. But does providing AI agents with more detailed information always improve collective outcomes, or can transparency paradoxically degrade efficiency? To investigate this, we introduce empirical information design, an experimental framework that systematically compares disclosure policies across economic markets populated by LLM agents, while holding interaction rules and models fixed. We evaluate ten frontier LLMs in multi
arXiv cs.AI
arXiv cs.AI
AI Global WireDelegateEval: Evaluating Platforms for Personal External Service Agents
arXiv:2611.07508v1 Announce Type: new Abstract: AI agents that work for an individual over time may also help that individual serve external clients. We define a personal external service agent as an agent authorized and continuously managed by a specific individual to accept client requests, deliver work, and provide ongoing support using that person's knowledge, experience, professional methods, and service boundaries. Such agents could allow individuals to serve more clients with less direct involvement and generate economic value at scale. We propose DelegateEval, a platform-level evaluation framework for agent systems that may combine large language models, reusable skills, protocols su
arXiv cs.AI
arXiv cs.AI
AI Global WireTrust Responsive Runtime Authorization for Agentic AI with Empirical Characterization of Policy Behavior and Parameter Sensitivity
arXiv:2611.06996v1 Announce Type: new Abstract: The policy that converts runtime estimates of an autonomous agent's condition into operational authority is rarely specified or measured. We empirically characterize the Trust Responsive Authorization Policy (TRAP), which maps an Authorization Readiness Score (ARS), a weighted combination of runtime trust, operational stability, and contextual risk, onto discrete authorization levels through an asymmetric rule: escalation requires consecutive observations above a band edge plus a margin, while a sharp drop in readiness restricts authority at once. On one matched set of 100 Monte Carlo traces, we compare TRAP with static, trust-only, risk-only,
arXiv cs.AI
arXiv cs.AI
AI Global WireFormalizing inverse problems in the age of AI: possibilities, pitfalls, and an invitation
arXiv:2611.06962v1 Announce Type: new Abstract: Proof assistants such as Lean check mathematical proofs down to the axioms, and AI agents have recently made writing such proofs cheap. We describe AutoIP, a Lean library in which classical linear regularization theory, together with the functional analysis it rests on, has been autoformalized by AI agents. A machine-checked proof certifies only the formal statement it proves, so the remaining human task is to confirm that each formal statement says what was intended. We organize the library around this task: a reviewer compares the formal statements with their natural-language counterparts and never needs to read a proof. Our experience is tha
arXiv cs.AI
arXiv cs.AI
AI Global WireAdapting the Process of Adaptation: Darwinian, Lamarckian, and Agent-Directed Evolution in AI
arXiv:2611.07048v1 Announce Type: new Abstract: Evolution has shaped intelligence for billions of years. Artificial intelligence (AI) now raises a striking possibility: intelligence may begin to direct its own evolution. As AI agents become capable of modifying and evaluating their own behavior, how quickly could they improve, and how can that improvement remain safe? We develop a theoretical framework comparing Darwinian, Lamarckian, and agent-directed evolution following environmental change. Darwinian evolution relies on natural selection, Lamarckian evolution adds inherited learning, and agent-directed evolution allows agents to generate and evaluate behavioral variants and choose how ex
arXiv cs.AI
PR Newswire (AI)
AI Global WireTencent Cloud Enterprise Unveils Full-Stack Intelligent Private Cloud for Sovereign Agentic AI
Powered Private Cloud for Global Markets session of the 2026 Tencent Global Digital Ecosystem Summit, Tencent Cloud Enterprise ...
PR Newswire (AI)
Perplexity rolls out Teammates, an always-on AI agent system that integrates with Computer to handle multiple roles and execute large-scale tasks simultaneously (Emma Roth/The Verge)
Emma Roth / The Verge : Perplexity rolls out Teammates, an always-on AI agent system that integrates with Computer to handle multiple roles and execute large-scale tasks simultaneously — Like OpenAI's Dots and Claude Duet, Perplexity's Teammates can perform an array of tasks while running 24/7.
Techmeme
TechNews (TW)
AI Global WireMeta Muse 開放即時語音與虛擬化身視訊，美國用戶搶先體驗
Meta 5 日宣布，旗下消費級 AI 代理（AI agent）Muse 推出即時語音對話與表情豐富的虛擬化身 […]
TechNews (TW)
ITmedia AI+
AI Global WireAIに自販機経営を1年任せてみた 指示は“利益の最大化”だけ 米ハーバード大などがシミュレーション
米ハーバード・ビジネス・スクールとAI評価企業Andon Labsに所属する研究者らが発表した論文「Robber Bots: Autonomous AI Agents Mirroring the Darker Side of Human Commerce」は、利益の最大化だけを命じられた自律型AIエージェントにビジネスを任せるとどうなるかを検証した研究報告だ。
ITmedia AI+
Samsung, SK Hynix eye AI inference boom as South Korea's SSD exports soar 584%
Samsung Electronics and SK Hynix are expanding their high-value NAND flash portfolios to meet growing demand for high-performance, high-capacity enterprise solid-state drives (eSSDs). The proliferation of AI agents and long-context services is increasing the need for key-value (KV) caching, prompting both companies to develop next-generation SSDs and tiered memory technologies to reuse AI computation results more efficiently.
DIGITIMES
AI Earnings (Google News)
AI Global WireAirbnb to launch an AI agent for travelers next year
AI agents are taking over different platforms, and every company now wants to have its own agents to automate tasks. Airbnb is just another corporation that has confirmed plans to launch an AI agent ...
AI Earnings (Google News)
Dropbox to buy US AI storage startup Tigris for $350m
Tigris sells object storage and markets it as compatible with Amazon S3 tools for AI agents.
Tech in Asia
Airbnb is working on an AI travel agent
Airbnb plans to roll out an AI agent in the first half of 2027 that will help users plan and book travel, the company said in its Q3 2026 earnings shareholder letter released today. "Today's AI agents are good at simple, routine tasks, like making a restaurant reservation or scheduling an appointment," Airbnb said. "But […]
The Verge AI
