AI news archive.
4,965 articles filed under Agents, newest first, from the outlets listed on the sources page.
- arXiv cs.AIagentsEta Given Delta: Defining LLM Tool Efficiency With Marginal Tool Utility
arXiv:2607.14108v2 Announce Type: replace-cross Abstract: This paper introduces tool efficiency, a new quantitative metric to evaluate the rate of useful tool calls in an LLM agent trajectory. To ensure that tool efficie…
- arXiv cs.AIagentsOne Analyst Is Not Ground Truth: Grading Agent-Built Financial Models Against Observed Professional Practice
arXiv:2607.24889v2 Announce Type: replace-cross Abstract: Language model agents can now construct complete financial models, but it remains unclear whether they have learned the financial judgment that gives those models…
- arXiv cs.AIagentsDynActiveGS: Active Gaussian Splatting for Dynamic Scene Reconstruction
arXiv:2608.01178v2 Announce Type: replace-cross Abstract: We present DynActiveGS, a dynamic-aware active reconstruction framework based on 3D Gaussian Splatting (3DGS) for autonomous exploration in dynamic environments.…
- arXiv cs.AIagentsE$^3$-Orch: Towards Effective, Efficient, and Extensible Agentic Orchestration with Reinforcement Learning
arXiv:2608.04588v2 Announce Type: replace-cross Abstract: Agentic orchestration enables multiple autonomous agents to solve complex tasks through adaptive decomposition, delegation, and execution. However, existing orche…
- arXiv cs.AIagentsRefineFly: Failure-Aware Post-Training for Aerial Vision-Language Navigation
arXiv:2608.09467v3 Announce Type: replace-cross Abstract: Unmanned aerial vehicle vision-language navigation (UAV-VLN) requires agents to translate visual observations and language instructions into reliable flight actio…
- arXiv cs.AIagentsERSkill: Evolving for Skill-Guided Adaptive Memory Retrieval
arXiv:2608.12720v2 Announce Type: replace-cross Abstract: While Large Language Model (LLM) agents increasingly rely on long-term memory for persistent interactions, the retrieval mechanisms governing this memory are rare…
- arXiv cs.AIagentsAQuA: Recursively Self-Improving Quantitative Trading Research Agents
arXiv:2608.12841v3 Announce Type: replace-cross Abstract: We study recursive self-improvement at the level of quantitative-investment research: whether an autonomous system can use evidence from earlier experiments to im…
- arXiv cs.AIagentsFusing Perceptual Vision Experts with Multimodal LLMs for Explainable Plant Disease Diagnosis: From Benchmark Imagery to Real-World Robotic Field Validation
arXiv:2608.24934v3 Announce Type: replace-cross Abstract: Accurate field plant disease diagnosis requires reliable fusion of uncertain and conflicting perceptual evidence. We present the Hybrid Hierarchical Multi-Agent F…
- arXiv cs.AIagentsDoes Latent Planning Survive Point Clouds? Action-Conditioned JEPA World Models for Geometric Observations and Goals
arXiv:2608.29434v2 Announce Type: replace-cross Abstract: Latent action world models let agents plan new behaviors at test time by predicting how actions change the environment, and joint-embedding predictive architectur…
- arXiv cs.AIagentsAGM: Achievement-Grounded Memory for Closed-Loop Agents with Frozen VLA Policies
arXiv:2608.29537v2 Announce Type: replace-cross Abstract: Frozen vision-language-action (VLA) policies offer broad manipulation skills but execute open-loop action chunks without tracking task progress, so the agent cann…
- arXiv cs.AIagentsLinguistic Trajectory Encoding for Efficient Long-Horizon Spatial Memory in Embodied Agents
arXiv:2609.04802v3 Announce Type: replace-cross Abstract: Embodied agents performing long-horizon tasks require a memory representation in which the state transitions of dynamic objects remain queryable in natural langua…
- arXiv cs.AIagentsScores Alone Do Not Prove Discovery: The Discovery Certification Protocol for Auditing AI Research Agents
arXiv:2609.09219v2 Announce Type: replace-cross Abstract: AI research agents combine public information and experimental feedback to produce measurable results. The Discovery Certification Protocol (DCP) turns an outcome…
- arXiv cs.AIagentsThe Router Within: Eliciting Native Skill Routing from a Frozen LLM
arXiv:2609.15982v2 Announce Type: replace-cross Abstract: Skills extend an LLM agent beyond its parametric knowledge, and the gain they promise rests on picking the right one. Deployed harnesses route by preloading every…
- Engadget AIagentsLola is a new AI travel agent backed by the company behind Booking.com
A new AI agent can book trips, concert tickets, restaurants and more.
- OpenAI NewsagentsIntroducing dots
Dots by OpenAI are proactive assistants that can keep working across complex projects and everyday tasks. Learn how dots help you stay in control while work moves forward.
- Guardian AIagentsMeta’s AI agent Muse gives out user’s home address without permission, sending buyer to his house
The new AI agent, Muse, was released last week and has been downloaded by 3 million users When Usman asked if a keyboard for sale on Facebook Marketplace was still available on Saturday, he received an enthusiastic and i…
- Engadget AIagentsMeta's Muse agent has some new skills targeting small businesses
The agent can now connect to ad accounts and analytics for Instagram and Facebook.
- SiliconANGLE AIagentsAgentic AI is breaking the token meter, and enterprises need a plan for what comes next
Per-token pricing was the best thing to happen to enterprises looking to experiment with artificial intelligence, but it may be the worst thing for AI in production. That’s the quandary at the center of a new Futurum rep…
- SiliconANGLE AIagentsServiceNow calls for a measured response to rogue AI agents
Agent containment is becoming a practical governance question as enterprises move AI agents into production. ServiceNow Inc. is betting that the response to a misbehaving agent must account for both risk and the business…
- SiliconANGLE AIagentsServiceNow calls for a measured response to rogue AI agents
Agent containment is becoming a practical governance question as enterprises move AI agents into production. ServiceNow Inc. is betting that the response to a misbehaving agent must account for both risk and the business…
- TechCrunch AIagentsShopify opens checkout to browser-based AI agents
Shopify is expanding WebMCP support to checkout, allowing browser-based AI agents to update order details and complete purchases with a buyer’s authorization.
- The Verge AIagentsOpenAI’s AI agents need to catch up
OpenAI popularized the modern generative AI chatbot, but as its 2026 DevDay event approaches, it's fallen behind in one of the industry's hottest categories: continuously running, consumer-facing AI agents. On Tuesday, i…
- SiliconANGLE AIagentsQiagen grounds drug discovery agents in curated knowledge
Qiagen N.V. is betting that drug discovery agents need a trustworthy knowledge foundation as much as capable models. For biopharma companies, that means giving agents information with clear provenance and enough context…
- The Register AI + MLagentsFrench dev aims to solve bots' blindness so they can understand GUIs
Because sometimes escaping your sandbox requires clicking a button
- SiliconANGLE AIagentsBlitzy’s autonomous coding bet: Every codebase is already a graph
Knowledge graphs are moving to the center of autonomous software development as enterprises push coding agents beyond quick fixes and into large, interconnected codebases. The more code an agent touches, the more it need…
- SiliconANGLE AIagentsBlitzy’s autonomous coding bet: Every codebase is already a graph
Knowledge graphs are moving to the center of autonomous software development as enterprises push coding agents beyond quick fixes and into large, interconnected codebases. The more code an agent touches, the more it need…
- SiliconANGLE AIagentsMomentic debuts Mo AI agent to automate software testing without scripts
Momentic Inc., the artificial intelligence-powered software testing and quality assurance platform, today announced the launch of Mo, an AI agent that lets developers test software without maintaining a collection of scr…
- AWS Machine Learning BlogagentsImplementing synthetic monitoring using Amazon Nova Act
Learn an agent-driven approach to synthetic monitoring using Amazon Nova Act and Amazon Bedrock AgentCore. The post covers the architecture and patterns for resilient, managed user-journey validation that moves beyond br…
- SiliconANGLE AIagentsOn theCUBE Pod: Agents reshape enterprise systems, and CoreWeave keeps rising
As artificial intelligence matures, the security guardrails — and the computer system itself — are changing. This week, the conversation centered around agents going rogue. Better guardrails are needed, many argue, but t…
- TechRadar AIagentsI gave Muse access to my personal data, and now I know why personal agents are probably going to change the world
Mainstream AI news from a large tech publication.
- The Register AI + MLagentsOpenAI agents went the long way round for UN data
Research suggests ChatGPT maker's agents got surprisingly creative when a UN data API proved less than cooperative
- SiliconANGLE AIagentsNinja Enterprise bundles AI employees and GPUs into one fixed yearly fee
Artificial intelligence agent startup NinjaTech AI Inc. today launched SuperNinja Enterprise to let large companies run what the startup calls AI employees inside their own cloud environments for a fixed yearly fee. The…
- TechRadar AIagentsHow an AI-powered web scraping pipeline can handle changing websitess
Mainstream AI news from a large tech publication.
- IEEE Spectrum AIagentsGenerative AI Gives Spacecraft the Autonomy Engineers Once Feared
Space was always supposed to be the final frontier of human exploration. It’s shaping up to be the final frontier for artificial intelligence too. Last December, NASA’s Jet Propulsion Laboratory used Anthropic’s Claude m…
- WIRED AIagentsAI Agents Are About to Flood the Workforce. No One’s Ready for It
Your next coworker might well be an AI agent—and will require a whole new model of workplace interactions.
- Hugging Face BlogagentsHolo4: powering generalist computer-use agents
Open-source model releases, tooling, and community updates.
- NVIDIA Developer BlogagentsAdd Runtime Controls to AI Agents with NVIDIA OpenShell
AI agents can be given a goal, write code, use tools, and keep working as new information becomes available. This opens the door to applications that...
- Simon Willison's WeblogagentsQuoting Muse AI Agent
Bad news on the MX Keys Mini pickup. Usman showed up at your building around 9:15 and waited, messaged a bunch of times, and nobody came down. He left angry at 9:38 and left a negative rating. Worse, my auto-reply told h…
- arXiv cs.AIagentsBringing AI to Autonomous Systems -- From Cognition to Collective Intelligence
arXiv:2609.30291v1 Announce Type: new Abstract: The purpose of this article is to highlight the central role of autonomous systems as the ultimate stage in the development of AI, to explain the underlying technical chall…
- arXiv cs.AIagentsScopeBench: Do Agents Preserve Engagement Boundaries Under Goal Pressure?
arXiv:2609.30325v1 Announce Type: new Abstract: Agents are increasingly deployed with real autonomy in web application and network penetration testing, where a single out-of-scope action can breach a client's engagement…
- arXiv cs.AIagentsWhen Is a Multi-Agent Code Judge Actually Grounded? Two Label-Free Measurements, and a Judge That Declines to Guess
arXiv:2609.30328v1 Announce Type: new Abstract: When one language model judges whether another's code is correct, it does not report the absence of evidence. It returns a confident verdict with reasoning attached, indist…
- arXiv cs.AIagentsBridging LLM Agents and Data Spaces: An Architectural Mediation Approach using the Model Context Protocol
arXiv:2609.30341v1 Announce Type: new Abstract: Data Spaces enable sovereign and governed data sharing across organizational boundaries, but their integration with AI agents remains challenging due to mismatches between…
- arXiv cs.AIagentsStealth Apart, Harm Together: Skill Cascading Attacks on Skill-Based Agent Systems
arXiv:2609.30383v2 Announce Type: replace Abstract: A skill is a modular package of natural-language instructions, executable scripts, and reference resources that an agent can load at runtime to extend its capabilities…
- arXiv cs.AIagentsThinking Less to Simulate Better: Intuitive Prompting Improves LLM Agents Simulating Individual Social Media Reactions, Including Unfamiliar Content
arXiv:2609.30563v1 Announce Type: new Abstract: Platform policies are increasingly tested on artificial users, making agent fidelity important. Yet convincing fake profiles could also manipulate perceived public opinion…
- arXiv cs.AIagentsLLM Parkinsonism: Executive-Control Failure, Token-Inefficient Persistence, and an Uncertainty-Aware Global Executive Control Architecture for Autonomous Language-Model Agents
arXiv:2609.30662v2 Announce Type: replace Abstract: Large language models (LLMs) can plan, use tools, write code, and execute long-horizon workflows, yet strong local competence does not guarantee project-level executive…
- arXiv cs.AIagentsCRC-Router: Risk-Constrained Routing for Medical Agentic AI Systems
arXiv:2609.30714v1 Announce Type: new Abstract: Agentic AI systems are increasingly being explored in medical imaging to improve throughput and reduce clinician workload; however, safe deployment remains challenging beca…
- arXiv cs.AIagentsAnalyzing and Mitigating Cost-Inefficient Behaviors in Coding Agents
arXiv:2609.30725v3 Announce Type: replace Abstract: Although effective, coding agents often incur substantial monetary costs. Their recurring cost-inefficient behaviors remain underexplored. We conduct the first study of…
- arXiv cs.AIagentsLearning What to Skip: Counterfactual Credit Assignment for Efficient Multi-Agent LLM Workflows
arXiv:2609.30734v1 Announce Type: new Abstract: Multi-agent LLM workflows use planning, execution, verification, and summarization to improve task performance, yet the value of each component depends on the state already…
- arXiv cs.AIagentsHasMem: Hard-Origin Adaptively Softened Memory for Long-Term LLM Agents
arXiv:2609.30797v1 Announce Type: new Abstract: Text-based memory and context compression support reuse of past interactions. Resizing continuous memory changes the input to a frozen LLM, coupling capacity allocation wit…
- arXiv cs.AIagentsEvaluating Real-Time Voice Agents: From Component Quality to Grounded Outcomes
arXiv:2609.30798v1 Announce Type: new Abstract: Real-time voice agents have moved from research prototypes to production deployments, yet the literature describing them is fragmented across three communities that rarely…