AI news archive.
4,966 articles filed under Agents, newest first, from the outlets listed on the sources page.
- arXiv cs.AIagentsWhen Users Don't Ask: Benchmarking Context-Driven Memory Retrieval in Conversational Agents
arXiv:2609.03467v2 Announce Type: replace-cross Abstract: Large language models (LLMs) are increas- ingly deployed as long-horizon conversational agents, motivating growing interest in mem- ory systems. However, existing…
- arXiv cs.AIagentsAmortized Low-Rank Adaptation for Model-Based Reinforcement Learning
arXiv:2609.12278v2 Announce Type: replace-cross Abstract: World models let agents plan by predicting the consequences of their actions, but changes in the environment can make them inaccurate. We study the problem of ada…
- arXiv cs.AIagentsSkillAtlas: An Attack Trace Library for Agent Skills
arXiv:2609.13353v3 Announce Type: replace-cross Abstract: Agent skills are reusable units for language-model agents, but their risks emerge through model decisions, user context, tool calls, and execution feedback rather…
- arXiv cs.AIagentsDisentangling Topology and Diversity in Multi-Agent LLMs for Multilingual Low-Resource Emotion Detection
arXiv:2609.14570v2 Announce Type: replace-cross Abstract: Multi-agent LLM systems combine multiple inference calls, but prior work often confounds how calls are connected with how they are diversified. We study these fac…
- Simon Willison's WeblogagentsSF October 14th: A Birds of a Feather Session on Agentic Engineering
SF October 14th: A Birds of a Feather Session on Agentic Engineering I'm hosting an evening event with Jesse Vincent in San Francisco on Wednesday 14th October for people who are building weird and interesting things wit…
- SiliconANGLE AIagentsKnown Systems AI spins out of Identity Digital to try and make AI agents accountable to their owners
The domain name registrar company Identity Digital Inc. thinks it knows how to make artificial intelligence agents more accountable, and to do that it’s creating an entirely new company called Known Systems AI Inc. Known…
- SiliconANGLE AIagentsKnown Systems AI spins out of Identity Digital to make AI agents accountable to their owners
The domain name registrar company Identity Digital Inc. thinks it knows how to make artificial intelligence agents more accountable, and to do that it’s creating an entirely new company called Known Systems AI Inc. Known…
- The Verge AIagentsRabbit’s new AI agent doesn’t need an R1 to run
Rabbit, the company behind the underwhelming R1 device, is rolling out a standalone AI agent that you don't need its hardware to use, as reported earlier by Wired. The startup says its new OS3 "agentic operating system"…
- The Register AI + MLagentsSecurity firm finds naming AI agents after Seinfeld characters helps bots join the team
Not that there's anything wrong with it
- AWS Machine Learning BlogagentsEvaluate skill-equipped agents with Strands Evals and Amazon Bedrock AgentCore
Skills let you encode domain-specific procedures as reusable, portable instructions for agents, but a fluent answer doesn't prove the agent picked the right skill or followed it. Learn how to measure skill selection and…
- Ars Technica AIagentsToyota orders workers to train humanoid robots but says humans won’t be replaced
Toyota’s push comes as automakers race to develop and deploy humanoid robots.
- WIRED AIagentsRabbit Is Back, This Time With an AI Agent App
Two years after trying to sidestep mobile apps with dedicated AI hardware, Rabbit is launching OS3, a cross-platform agent that lives on the screens you already use.
- AWS Machine Learning BlogagentsHow Reactiv automates mobile commerce 80% faster with Amazon Bedrock AgentCore
Reactiv used Amazon Bedrock AgentCore to build a multi-agent AI Scheduler that autonomously refreshes Shopify merchants' mobile apps on a schedule, reducing merchant configuration time by 80% and getting to production 33…
- AWS Machine Learning BlogagentsHow Trane gets building insights 60x faster with Amazon Bedrock AgentCore
In about four weeks, Trane Technologies built an AI-powered agentic solution on Amazon Bedrock AgentCore that reduced a 20-minute, multi-screen building diagnostic workflow to a 20-second natural language interaction, a…
- AWS Machine Learning BlogagentsExtending public sector intelligence with Agentforce and AWS
Public sector agencies process large volumes of unstructured evidence, such as body camera footage and scanned documents. This post shows how to combine Amazon Bedrock Data Automation with the Model Context Protocol (MCP…
- TechCrunch AIagentsAstroForge is putting AI in command of its next spacecraft
Autonomy-1 will have a small, transformer-based AI model taking charge of a space probe.
- SiliconANGLE AIagentsTeradata expands AI assistant with tools for governed agents
Teradata Corp. is expanding its Tera artificial intelligence assistant with a context engine and execution system designed to help agents carry out data tasks across enterprise systems. Tera is an agentic AI workspace an…
- SiliconANGLE AIagentsKantata debuts Agent Studio for building custom AI agents in plain language
Professional services automation software company Kantata Inc. today unveiled Agent Studio, a tool that lets services firms build custom artificial intelligence agents by describing the job they want done in plain langua…
- OpenAI NewsagentsParallel cut research time and cost in half with GPT‑6 Astra
GPT‑6 Astra allowed Parallel’s agents to research and synthesize labor-market data in half the time and at half the cost vs. prior models.
- arXiv cs.AIagentsEvidenT: Building Trustworthy Enterprise Assistants through Evidence Groundedness and Traceability
arXiv:2609.22537v1 Announce Type: new Abstract: Enterprise AI assistants must produce responses that are verifiable and traceable to source evidence. However, retrieval augmented generation (RAG) over heterogeneous enter…
- arXiv cs.AIagentsAutoGym: Blueprint-First Generation of Verifiable Agent Gyms
arXiv:2609.22592v1 Announce Type: new Abstract: Training agents with reinforcement learning requires a gym, comprising a task, an executable environment in which the task can be attempted, and a verifier that reliably di…
- arXiv cs.AIagentsMAWILE: Multi-Axis Workbench for Inspecting LLM Evaluators
arXiv:2609.22599v1 Announce Type: new Abstract: Large language model (LLM) judges provide a flexible and scalable method for evaluating model and agent outputs, but their verdicts can be sensitive to incidental changes i…
- arXiv cs.AIagentsSelf-Organizing Agent Teams Learn to Reason Together
arXiv:2609.22682v1 Announce Type: new Abstract: Collective intelligence depends not only on what team members know, but also on how they organize their work. When the structure of a solution is unknown, useful roles and…
- arXiv cs.AIagentsGenerative Embodied Multiple Behavior Control Systems for Human-like Agents
arXiv:2609.22691v3 Announce Type: replace Abstract: Building autonomous agents that reproduce human behavior in realistic 3D environments has been a longstanding objective in AI. Cognitive neuroscience commonly believes…
- arXiv cs.AIagentsToward Auditable and Calibrated AI for Dementia-Related Crash Severity Prediction: A Selective Deferral Framework to Support Human Review
arXiv:2609.22694v1 Announce Type: new Abstract: Public crash databases increasingly support automated safety analysis, but crash severity prediction remains difficult to translate into public-sector decision workflows wh…
- arXiv cs.AIagentsTrustworthy Agentic AI: Failure Modes, Mitigation Strategies, and a Lifecycle Framework for Autonomous LLM Systems
arXiv:2609.22712v1 Announce Type: new Abstract: Agentic AI systems built on large language models can plan over multiple steps, use external tools, retain information in memory, and coordinate with other agents. These ca…
- arXiv cs.AIagentsProcessLight: Process Supervision for Large Language Model Based Traffic Signal Control
arXiv:2609.22746v1 Announce Type: new Abstract: Large Language Models (LLMs) have recently been introduced into traffic signal control (TSC) as decision agents due to their strengths in human-readable reasoning generatio…
- arXiv cs.AIagentsWhen Should a VLM Look? Paying Only for Visual Calls That Were Needed and Used
arXiv:2609.22910v1 Announce Type: new Abstract: Vision-language agents that crop and zoom are trained with rewards that credit a successful tool call, yet a successful call does not show that the model needed to look or…
- arXiv cs.AIagentsAgentRouter: Heterogeneous Model Routing for Cost-Optimal Multi-Step Agentic Workflows
arXiv:2609.22951v1 Announce Type: new Abstract: Enterprise agentic systems that route every trajectory step to a frontier model waste 60-80% of their inference budget on subtasks that smaller models handle equally well.…
- arXiv cs.AIagentsLazyAgent: Demand-Driven Materialization and Physical Optimization of Agentic Programs
arXiv:2609.23058v2 Announce Type: replace Abstract: Agent runtimes that plan before acting run every step as soon as it is ready. Neither these runtimes nor their benchmarks distinguish a step that is ready from a step t…
- arXiv cs.AIagentsCraftBench-UE: Deterministic Evaluation for Coding Agents in Unreal Engine
arXiv:2609.23142v1 Announce Type: new Abstract: Building gameplay features in a game engine requires more than code, as code that compiles and runs does not necessarily implement the requested gameplay. We introduce Craf…
- arXiv cs.AIagentsTicTacBench: Benchmarking Timing Closure Capabilities of Coding Agents
arXiv:2609.23363v1 Announce Type: new Abstract: Recent advances in large language models (LLMs) have led to the emergence of coding agents capable of performing complex engineering tasks, including register-transfer leve…
- arXiv cs.AIagentsAgentBetta: Verification-Driven Adaptive Configuration of an AI Nano-Agent through Selective Expansion and Verified Contraction
arXiv:2609.23512v1 Announce Type: new Abstract: Large language model agents are typically deployed with predefined configurations, although the required model capability, context, tools, permissions, memory, and computat…
- arXiv cs.AIagentsAre Human-Aligned Models Models of Humans? A Turing-Test Gap in Preference Alignment
arXiv:2609.23640v1 Announce Type: new Abstract: Human-feedback alignment has made language models useful assistants and is commonly described as aligning them with humans. However, the responses people prefer from an AI…
- arXiv cs.AIagentsPhysAI-Bench: A Benchmark for LLM-Based Agentic Decision-Making in Autonomous UAV-Centric Physical AI
arXiv:2609.23695v1 Announce Type: new Abstract: Recent advances in Physical AI have accelerated the use of foundation models in autonomous systems such as unmanned aerial vehicles (UAVs), which must perceive, reason, pla…
- arXiv cs.AIagentsScholarStack: Layered Research Asset Orchestration and Cross-Task Reuse for Scientific Agents
arXiv:2609.23735v3 Announce Type: replace Abstract: Scientific agents support a range of literature-based research tasks, such as retrieval, question answering, evidence-grounded generation, and claim assessment. Most ex…
- arXiv cs.AIagentsTotal Cost of Agency: Exact Attribution of Memory Injection Cost in Multi-Agent LLM Workflows
arXiv:2609.23790v1 Announce Type: new Abstract: Every node in a multi-agent large language model (LLM) workflow retrieves context from memory and injects it into its prompt, where those injected tokens are billed as inpu…
- arXiv cs.AIagentsWorkWorlds: An Infrastructure for Evaluating AI Agents on Workplace Tasks
arXiv:2609.23806v2 Announce Type: replace Abstract: Many knowledge-work benchmarks are constructed around individual tasks, with the context needed for each task selected together with or after the task has been specifie…
- arXiv cs.AIagentsAgents That Edit Documents: Measuring Agentic PDF Forgery Against a Non-Agentic Control
arXiv:2609.23953v2 Announce Type: replace Abstract: AI agents that carry a multi-step computer task through on their own became ordinary tools in the past year, and the same autonomy is available to anyone whose task is…
- arXiv cs.AIagentsDivergent strategies and convergent outcomes in autonomous materials discovery
arXiv:2609.23957v1 Announce Type: new Abstract: Scientific agents are mostly evaluated on whether they complete tasks or recover known results; we instead study variation across repeated open-ended campaigns. Sixteen sep…
- arXiv cs.AIagentsUniK: Universal Knowledge Perception for Digital and Physical AI
arXiv:2609.23971v1 Announce Type: new Abstract: Two transformative classes of AI systems are reshaping how organizations operate: \textit{digital AI}, which reasons over enterprise knowledge to power chatbots and agent w…
- arXiv cs.AIagentsLEAP-NBV: Lightweight Edge Active-Perception for Foundation-Model Next-Best-View Planning
arXiv:2609.23974v1 Announce Type: new Abstract: Foundation models are endowing autonomous systems with greater intelligence, enabling a more comprehensive understanding of the environment through visual perception. A rep…
- arXiv cs.AIagentsJev-Mem: System-One-Controlled Agentic Memory for Efficient AI Agents
arXiv:2609.23986v1 Announce Type: new Abstract: Agentic memory is becoming essential for long-horizon AI agents, yet many existing systems rely on autoregressive LLMs to control how memories are organized, retrieved, and…
- arXiv cs.AIagentsACLArena: Agent Continue Learning in Multi-stage Post-training
arXiv:2609.23989v1 Announce Type: new Abstract: Building general-purpose agents for industrial deployment requires integrating multiple capabilities, each typically acquired at a distinct stage of training. Yet there is…
- arXiv cs.AIagentsFinInteract: Benchmarking Clarification and Intent Integration in Ambiguous Financial Question Answering
arXiv:2609.24002v1 Announce Type: new Abstract: Large language model agents increasingly answer financial questions by searching regulatory filings. Such questions are often deceptively under-specified: Meta Platforms' "…
- arXiv cs.AIagentsStructured Decomposition for Reliable LLM-Generated Access Control Policies
arXiv:2609.24036v1 Announce Type: new Abstract: This paper presents an LLM-based system that translates natural-language access control policies (NLACPs) into executable Rego code for Open Policy Agent (OPA). It provides…
- arXiv cs.AIagentsIncremental Consistency Execution for Autonomous Intelligent Systems
arXiv:2609.24090v1 Announce Type: new Abstract: Long-horizon autonomous intelligent systems rely on heterogeneous components such as large language models, databases, external APIs, and rule engines, while their external…
- arXiv cs.AIagentsEDGEGEN: Improving Tool-Calling Agents Beyond Happy Paths with Synthetic Edge Case Generation
arXiv:2609.24115v1 Announce Type: new Abstract: Tool-calling LLM agents are increasingly deployed in enterprise applications. However, effective evaluation and optimization require high-quality, diverse task datasets tha…
- arXiv cs.AIagentsSelf-Healing Harness for Runtime Oversight of Agent Self-Modification
arXiv:2609.24130v1 Announce Type: new Abstract: LLM agents can change their own future behavior, raising a basic control question of which self-generated changes should be allowed to persist. We formulate this as admissi…
- arXiv cs.AIagentsAPEXA: Execution-Integrity Enforcement for Multi-Agent LLM Automation of Synchrotron Data Reduction
arXiv:2609.24165v2 Announce Type: replace Abstract: LLM agents can make expert scientific workflows accessible through natural language, but a plausible response does not establish that the requested computation ran. Thi…