AI news archive.
4,965 articles filed under Agents, newest first, from the outlets listed on the sources page.
- arXiv cs.AIagentsThe LLENS Platform for On-Premises Large Language Model Agents in a Japanese University Hospital: Development and Evaluation Study
arXiv:2610.32151v2 Announce Type: replace-cross Abstract: Large language model agents that use tools could take on part of the electronic health record and desk work that occupies physicians' time, but in many hospitals…
- arXiv cs.AIagents4DMemory: Benchmarking Long-Horizon Spatiotemporal Memory with Harness-Augmented Agents
arXiv:2610.32332v1 Announce Type: cross Abstract: Humans efficiently process multimodal streams spanning hours to years, building persistent, fine-grained spatiotemporal memories that support reasoning about and predicti…
- arXiv cs.AIagentsDecoupling Patient Personas and Clinical Workflows: A Dual-Agent Approach to Realistic Medical Dialogue Generation
arXiv:2610.32443v1 Announce Type: cross Abstract: Pre-consultation medical dialogues are essential for collecting comprehensive patient information, but are costly to obtain at scale due to privacy and ethical constraint…
- arXiv cs.AIagentsBeyond Copying: Lifelong Smart Contract Security Task Construction via Protocol Mutation
arXiv:2610.32453v1 Announce Type: cross Abstract: AI agents can inspect code and run tests to support smart contract security. SlowMist reports about $38.6 billion in losses across the broader blockchain ecosystem. Exist…
- arXiv cs.AIagentsTool-Calling LLM Agents Under Realistic MCP Faults: Scale Does Not Purchase Fault Tolerance
arXiv:2610.32555v1 Announce Type: cross Abstract: LLM agents increasingly rely on external tools exposed via the Model Context Protocol (MCP), yet current benchmarks assume tools respond correctly and on time, leaving ag…
- arXiv cs.AIagentsCan AI Agents Help Robotic Engineers? Lessons from Two Focus Days in Industry
arXiv:2610.32636v1 Announce Type: cross Abstract: Software developers increasingly use AI agents that execute multi-step programming tasks on their own. However, it is unclear if and how this transfers to robotic enginee…
- arXiv cs.AIagentsConditional Neural Processes for Self-Supervised Goal Discovery in Action Imitation
arXiv:2610.32688v1 Announce Type: cross Abstract: Inspired by infants' ability to learn novel tasks by imitating others, in this work we evaluate to what extent Conditional Neural Processes can autonomously learn represe…
- arXiv cs.AIagentsSemantic Representation for Agentic Self-Play in Automated Laboratories
arXiv:2610.32755v1 Announce Type: cross Abstract: Navigating complex, high-dimensional biological search spaces necessitates scalable physical and computational intelligence to explore beyond local optima through iterati…
- arXiv cs.AIagentsEvery Edge Needs a Quote: Building a Quote-Grounded Knowledge Graph of Healthcare Software Adoption with Language-Model Agents
arXiv:2610.32781v1 Announce Type: cross Abstract: Hospitals regularly buy software that clinicians and patients depend on. Because these purchases are costly, hard to reverse and can affect patient care, buyers look for…
- arXiv cs.AIagentsSceneBloom: Agentic Indoor Environment Generation with Realistic and Diverse Layouts for Embodied Learning
arXiv:2610.32978v1 Announce Type: cross Abstract: Training generalizable embodied agents requires realistic, varied, and simulation-ready indoor environments. Language-guided methods support semantic planning and object-…
- arXiv cs.AIagentsMedInsightBench: Evaluating Medical Analytics Agents Through Multi-Step Insight Discovery in Multimodal Medical Data
arXiv:2512.13297v2 Announce Type: replace Abstract: In medical data analysis, extracting deep insights from complex, multi-modal datasets is essential for improving patient care, increasing diagnostic accuracy, and optim…
- arXiv cs.AIagentsMCPHunt: An Evaluation Framework for Cross-Boundary Data Propagation in Multi-Server MCP Agents
arXiv:2604.27819v2 Announce Type: replace Abstract: Multi-server MCP agents create an information-flow control (IFC) problem: faithful tool composition can turn individually benign read/write permissions into cross-bound…
- arXiv cs.AIagentsAgents and Tokens: Multi-Agent Autonomous Reasoning over a Hydrodynamic Token Store
arXiv:2605.01102v2 Announce Type: replace Abstract: Large language models and the agents built on them are the most capable reasoning machines ever built, and science is beginning to put them to work. Atmospheric and oce…
- arXiv cs.AIagentsModel-Adaptive Tool Necessity Reveals the Knowing-Doing Gap in LLM Tool Use
arXiv:2605.14038v3 Announce Type: replace Abstract: Large language models (LLMs) increasingly act as autonomous agents that must decide when to answer directly vs. when to invoke external tools. Prior work studying adapt…
- arXiv cs.AIagentsNeuroMAS: Multi-Agent Systems as Neural Networks with Joint Reinforcement Learning
arXiv:2605.16757v2 Announce Type: replace Abstract: Multi-agent language systems are often built as hand-designed workflows, where agents are assigned semantic roles and communication protocols are specified in advance.…
- arXiv cs.AIagentsProbe Before You Edit: Probing-Guided Molecular Optimization for LLM Agents in Structure-Based Drug Design
arXiv:2606.00555v3 Announce Type: replace Abstract: Structure-based drug design increasingly employs LLM agents to iteratively refine ligands against a target pocket, yet a viable ligand must satisfy two often-conflictin…
- arXiv cs.AIagentsSkillPyramid: A Hierarchical Skill Consolidation Framework for Self-Evolving Agents
arXiv:2606.03692v2 Announce Type: replace Abstract: Recent AI agents can flexibly invoke skills to solve complex tasks, but their long-term improvement is fundamentally constrained by a lack of systematic skill construct…
- arXiv cs.AIagentsArchitecture-Aware Reinforcement Learning Makes Sliding-Window Attention Competitive in Math Reasoning
arXiv:2606.11634v2 Announce Type: replace Abstract: The rapid progress of reasoning and agentic large language models (LLMs) has increased the demand for long-context inference, but self-attention (SA) scales quadratical…
- arXiv cs.AIagentsAlphaMemo: Structured Search-Process Memory for Self-Evolving Alpha Mining Agents
arXiv:2606.20625v2 Announce Type: replace Abstract: LLM agents are promising for alpha mining via combining financial priors, symbolic reasoning, executable factor generation, and feedback-driven refinement. Yet, they fa…
- arXiv cs.AIagentsJANUS: Foreseeing Latent Risk for Long-Horizon Agent Safety
arXiv:2607.19913v2 Announce Type: replace Abstract: Agent safety is moving from content moderation toward preventing operational failures before tool-using agents act. We propose Janus, a foresight-oriented framework for…
- arXiv cs.AIagentsMirrorCraft: Paired Evaluation under Hidden Rule Changes in Minecraft
arXiv:2607.29218v2 Announce Type: replace Abstract: With the rapid progress of large language models (LLMs), an interesting question has emerged: how do LLM-based agents perform in Minecraft? To date, most Minecraft benc…
- arXiv cs.AIagentsInterchangeable in Role, Not in History: Replacing Members of Formed LLM Teams
arXiv:2609.05279v2 Announce Type: replace Abstract: Multiagent LLM systems often treat a role as a slot: when a member is replaced, any agent competent at the role is expected to fill it. We test this view on teams whose…
- arXiv cs.AIagentsPAIR-SAFE: A Paired-Agent Approach for Runtime Auditing and Refining AI-Mediated Mental Health Support
arXiv:2601.12754v2 Announce Type: replace-cross Abstract: LLMs are increasingly used for mental health support, yet they can produce responses that are overly directive, inconsistent, or clinically misaligned. Most risk…
- arXiv cs.AIagentsContextual Memory Virtualisation: DAG-Based State Management and Structurally Lossless Trimming for LLM Agents
arXiv:2602.22402v2 Announce Type: replace-cross Abstract: As large language models engage in extended reasoning tasks, they accumulate significant state -- architectural mappings, trade-off decisions, codebase convention…
- arXiv cs.AIagentsdaVinci-Env: Open SWE Environment Synthesis at Scale
arXiv:2603.13023v3 Announce Type: replace-cross Abstract: Training capable software engineering (SWE) agents demands large-scale, executable, and verifiable environments that provide dynamic feedback loops for iterative…
- arXiv cs.AIagentsEquity Bias: An Ethical Framework for AI Design
arXiv:2604.21907v2 Announce Type: replace-cross Abstract: Equity Bias is a philosophical and practical framework for building more equitable AI systems. It treats AI as an interpretive agent that constructs meaning and k…
- arXiv cs.AIagentsGaP: A Graph-as-Policy Multi-Agent Self-Learning Harness For Variational Automation Tasks
arXiv:2607.05369v2 Announce Type: replace-cross Abstract: For robots to work reliably in commercial and industrial applications, recent advances in agentic coding systems have potential to combine interpretable robot pro…
- arXiv cs.AIagentsAgentGUI: An Interface for Observing and Steering Long-Running AI Agents
arXiv:2607.26300v3 Announce Type: replace-cross Abstract: AI agents are increasingly adept at tackling complex, long-running tasks. With the rapid surge of autonomous capabilities, human oversight is systematically laggi…
- arXiv cs.AIagentsAn LLM agent for end-to-end computational materials discovery
arXiv:2608.20434v2 Announce Type: replace-cross Abstract: Coordinating multi-scale tasks is an effective strategy for computational materials discovery, yet the diverse algorithms and tools involved make this process hig…
- arXiv cs.AIagentsPolyMemDB: A Polyglot Database System for AI Memory Management
arXiv:2608.25577v2 Announce Type: replace-cross Abstract: With the widespread adoption of personal intelligent agents, users generate massive, heterogeneous data during long-term interactions. Leveraging this data as lon…
- arXiv cs.AIagentsFrom Review to Authorization: Key-Isolated Threshold Signing for LLM Agents
arXiv:2609.05901v2 Announce Type: replace-cross Abstract: Autonomous LLM agents can turn semantic judgments into consequential actions such as payments and permission changes. If the same process makes these judgments an…
- The DecoderagentsAnthropic says one AI agent beats many subagents now that models can handle complexity alone
Anthropic says companies should evaluate whether they can consolidate sub-agents into a single agent that loads context on demand. In one architecture comparison, the single-agent setup ran about twice as fast. Anthropic…
- The DecoderagentsOpenMobile-2 proves open-source smartphone agents can rival proprietary models
Smartphone agents don't get better by processing more data. They improve by training on as many different apps as possible. The researchers behind OpenMobile-2 built an open training environment with more than 110 applic…
- TechCrunch AIagentsHere are the top AI agents that can live in your text messages
We created a list of the most notable AI agents that can live in your text messages, from general assistants to agents designed for families, travel, and work.
- SiliconANGLE AIagentsHybrid infrastructure decisions put AI costs and control in focus
Enterprise artificial intelligence is entering a cost-conscious phase, and hybrid infrastructure is where that reckoning plays out. As inference spending climbs, business leaders are weighing where models run, which mode…
- SiliconANGLE AIagentsWhat to expect during Intuit Connect: Join theCUBE Oct. 28
Will bringing automation into the financial industry prove disastrous or transformative? Intuit Inc., the financial technology company behind Credit Karma, QuickBooks and TurboTax, sees artificial intelligence as the nex…
- AI BusinessagentsSiemens, Nvidia deploy industrial AI to reduce engineering effort
The partners are using digital twins and AI agents as part of a roadmap to create world-first AI-powered manufacturing facilities.
- AWS Machine Learning BlogagentsHow Bayer Crop Science built an agentic decision engine on Amazon Bedrock AgentCore with AWS Unified Operations
Bayer Crop Science built the Agentic Decision Engine (ADE), a multi-agent platform on Amazon Bedrock AgentCore that lets breeders, analysts, and researchers ask natural language questions about their analytics platform.…
- Tom's Guide AIagentsAnthropic's Claude Duet AI agent can manage your work across thousands of connected apps — here’s how it works
Consumer AI launches, tools, and practical coverage.
- LessWrongagentsGnerk Asks How Big a Swarm Can Get Before It Stops Being One Agent
Introduction (Narrator Voice, Morgan Freeman): Gnerk sat there thinking deeply about the recent swarm attacks. Gnerk might not be the smartest tool in the shed but he had pointed the dull tools he had at this problem for…
- The Register AI + MLagentsVendor-affiliated AI agent tech gets adopted by friendly, funded foundation
Four projects for facilitating AI agents move under vendor-neutral governance
- arXiv cs.AIagentsThe Cost of Saying Hello: An Empirical Study of Handshake Overhead in AI Agent Communication Protocols
arXiv:2610.30151v1 Announce Type: new Abstract: Every interaction between AI agents begins with a handshake: the initiating agent must locate its counterpart, learn what it can do, and establish a session before the firs…
- arXiv cs.AIagentsMCP vs CLI for AI Agents: A Comparative Analysis of Tool Integration Strategies for Autonomous Systems
arXiv:2610.30157v1 Announce Type: new Abstract: AI agents require interfaces to interact with external systems such as files, APIs, databases, and cloud services. Two competing paradigms have emerged: CLI (Command Line I…
- arXiv cs.AIagentsFeedback That Backfires in Games: Do LLM Players Repeat the Move They Just Watched Fail?
arXiv:2610.30205v1 Announce Type: new Abstract: When an LLM agent's move fails, the harness writes the move and the failure message into the transcript and asks again. In tool calling, this record makes small models more…
- arXiv cs.AIagentsRoleFlow: Self-Evolving Multi-Role Agentic Collaboration via Structural Adaptation
arXiv:2610.30429v1 Announce Type: new Abstract: Large language model (LLM) based multi-agent systems often rely on predefined collaboration structures, limiting their adaptability to evolving task requirements. Although…
- arXiv cs.AIagentsSecure Agentic AI and Multimodal Intelligence in 6G Communication Systems
arXiv:2610.30436v1 Announce Type: new Abstract: Sixth-generation (6G) communication systems are expected to support immersive, intent-driven, and latency-critical services through tight integration of multimodal intellig…
- arXiv cs.AIagentsSpecMAGIC: Specification-Guided Multi-Task Generalization in Multi-Agent Reinforcement Learning
arXiv:2610.30443v1 Announce Type: new Abstract: Multi-task generalization is an important yet underexplored problem in multi-agent reinforcement learning (MARL). Many real-world applications require multi-agent systems t…
- arXiv cs.AIagentsA Three-Pillar Governance Framework for Safe and Trustworthy AI Agents
arXiv:2610.30445v1 Announce Type: new Abstract: AI agents capable of autonomous decision-making introduce significant challenges related to safety, alignment, accountability, and human oversight. Existing Human-in-the-Lo…
- arXiv cs.AIagentsWhy Bother Me Again? Benchmarking Personal Agent Memory for Interaction Preferences
arXiv:2610.30485v1 Announce Type: new Abstract: Personal intelligence systems are taking on increasingly complex everyday tasks, yet repeated questions, unnecessary confirmations, and unwanted outreach can turn capable a…
- arXiv cs.AIagentsFrom Single-Actor Environments to Multi-Actor Event Worlds: Can LLMs Be Event World Models?
arXiv:2610.30488v1 Announce Type: new Abstract: World models help agents assess the consequences of their actions before acting. Many real systems, however, involve multiple actors who make their own decisions, can evolv…