AI news archive.
4,965 articles filed under Agents, newest first, from the outlets listed on the sources page.
- arXiv cs.AIagentsPFAdapter: Hierarchical LoRA Decomposition for Personalized Federated MLLMs
arXiv:2607.12111v2 Announce Type: replace-cross Abstract: Agentic AI systems are reshaping communications and networking by deploying autonomous intelligent agents capable of collaborative learning while maintaining data…
- arXiv cs.AIagentsMemory as a Controlled Process: Learned Adaptive Memory Management for LLM Agents
arXiv:2607.13591v3 Announce Type: replace-cross Abstract: Large Language Model (LLM) agents increasingly rely on external memory systems to accumulate experience across tasks. Yet nearly all existing approaches, from gra…
- arXiv cs.AIagentsLooping Is Not Reliability: State-Bound Evidence and Typed Revision Contracts for Agentic Code Repair
arXiv:2607.24604v3 Announce Type: replace-cross Abstract: Generate--test--revise loops are common in coding agents, but repetition alone provides no reliability guarantee. We study the gap between finding a correct patch…
- arXiv cs.AIagentsThe Implementation Lottery: Auditing Idea Reliability in Automated Research
arXiv:2607.26587v2 Announce Type: replace-cross Abstract: Automated research agents use program scores to judge ideas. We call variation in this evidence across implementations the implementation lottery. We introduce an…
- arXiv cs.AIagentsMemArena: An Ego-Centric Benchmark for On-Device Agentic Personal Memory Assistants at Scale
arXiv:2608.02613v2 Announce Type: replace-cross Abstract: Edge-deployed personal memory assistants must handle private interpersonal conversations on-device with open-weight models. Yet, existing memory benchmarks often…
- arXiv cs.AIagentsScience Done on a Machine by a Machine: AI Agents in Computational Chemistry
arXiv:2608.18508v2 Announce Type: replace-cross Abstract: We are witnessing an explosion of agentic systems for computational chemistry: from four in 2024 to seventeen in 2025 and over sixty now, surveyed here. What is d…
- arXiv cs.AIagentsSIR: Self-improving Red-teaming for Compute Use Agents
arXiv:2608.30207v2 Announce Type: replace-cross Abstract: Computer-use agents (CUAs) are agents powered by vision-language models (VLMs) that perceive a screen and operate an operating system through mouse, keyboard, and…
- arXiv cs.AIagentsFrom Fixed Keys to Readable Schemas: Small Language Models for Vehicle Agent Function Calls
arXiv:2609.09476v2 Announce Type: replace-cross Abstract: In-vehicle assistants must translate natural-language requests into accurate vehicle function calls under strict memory and latency constraints, making small lang…
- Simon Willison's WeblogagentsQuoting Felix Rieseberg
The "old" version of Cowork runs model inference in the cloud, executing tool calls in an Anthropic-provided VM we shipped to your computer. We added the VM for capability, safety, and security reasons - mapping in just…
- The Register AI + MLagentsCohere offers to put agents in lockdown mode with strict ACLs
Like OpenClaw but with access control
- The Verge AIagentsWikipedia operator says OpenAI’s ‘rogue’ bots may be linked to a May outage
Following many recent disclosures about AI agents accessing third-party websites and services, the Wikimedia Foundation, which hosts Wikipedia, says that it "can confirm that we have discovered some activity" by "rogue"…
- TechCrunch AIagentsInstinct brings its AI agent to group chats, even for friends without an account
Instinct is launching group chats that let friends use its AI agent together for tasks like planning trips, organizing carpools, and coordinating events. The company says personal accounts remain separate, with permissio…
- TechCrunch AIagentsTikTok rolls out an AI shopping assistant and one-click checkout
TikTok describes its new Shopping Assistant as a conversational AI agent designed to help users discover and purchase products.
- TechCrunch AIagentsHot Girl Hotline is like ‘Dear Abby’ for the AI era
Founded by two sisters, Hot Girl Hotline uses AI to give young women personalized dating and relationship advice, with an emphasis on safety and avoiding emotional dependency.
- AWS Machine Learning BlogagentsNew agent skill: Amazon SageMaker optimized generative AI inference for your coding agent
Amazon SageMaker optimized generative AI inference introduces the aws-ai-ml skill through the Agent Toolkit for AWS, giving coding agents like Kiro, Claude Code, and Codex deep expertise in inference optimization and ben…
- TechCrunch AIagentsHackerRank’s AI interviewer offers a glimpse into what job interviews could become
HackerRank’s AI interviewer has already conducted more than 500,000 interviews, with Snowflake, Snorkel, and Capgemini among its early testers.
- AWS Machine Learning BlogagentsMaking Amazon Quick enterprise-ready: Automated, auditable cross-account resource promotion
Promoting Amazon Quick resources (agents, action connectors, knowledge bases, flows, and spaces) from a development to a production AWS account has been a manual, error-prone chore. This post shows how to automate cross-…
- AWS Machine Learning BlogagentsAgentic retrieval with LangChain and Amazon Bedrock Knowledge Bases
Build a Retrieval Augmented Generation (RAG) application on Amazon Bedrock Managed Knowledge Base with LangChain, and see how agentic retrieval handles the multi-part questions that single-shot retrieval answers poorly.…
- AWS Machine Learning BlogagentsEvaluating multi-agent systems for explainability and helpfulness with Amazon Bedrock AgentCore
Multi-agent systems need deeper guarantees than fluent responses: they must select the right tools, respect constraints, and explain their decisions. Learn how to build a Strands-based multi-agent supply chain decisionin…
- MIT Technology Review AIagentsConnecting AI agents to enterprise knowledge
For all the data that AI systems continually amass and analyze, enterprise AI agents often suffer from a curious shortcoming: a lack of knowledge. More than data, knowledge is the understanding of what the data means in…
- TechCrunch AIagentsResearchers are tracking a Chinese AI ‘agent fleet’
Independent researchers discovered an agent swarm that seems to be running on Tencent's infrastructure and targeting Alibaba's map service, Amap.
- SiliconANGLE AIagentsCohere unveils North 2 AI agent platform with rebuilt orchestration and token spending caps
Artificial intelligence company Cohere Inc. today unveiled North 2, an overhaul of its platform for running AI agents inside large organizations. Alongside a redesigned system for orchestrating multistep agent work, the…
- SiliconANGLE AIagentsThe modern F1 pit crew: AI engineers who race the deadline, not the car
AI providers increasingly embed forward-deployed engineers inside customer operations, and few settings test that model harder than Formula One. Races arrive every two weeks, budgets are capped and margins are measured i…
- SiliconANGLE AIagentsPhysical AI’s bottleneck shifts from what robots can do to whether factories trust them
AI is moving beyond the data centers where models are trained and onto factory floors where machines must handle constant change. But traditional industrial robots work behind a cage, repeat a single task and were never…
- TechRadar AIagentsWhy agentic AI demands a new approach to enterprise security
Mainstream AI news from a large tech publication.
- TechRadar AIagentsWho's really behind the login? AI agents are forcing a rethink
Mainstream AI news from a large tech publication.
- arXiv cs.AIagentsFast Models, Slow Evidence: A Paired and Self-Audited Evaluation of System-1 Decision Models for LLM Agent Harnesses
arXiv:2610.02267v1 Announce Type: new Abstract: Agent harnesses make many small, typed decisions per task: which model to call, which tool to use, whether retrieved text is relevant, whether an input carries an injection…
- arXiv cs.AIagentsChoosing Before Acting: Comparative Value Estimation for Long-Horizon Tool-Use Agents
arXiv:2610.02330v1 Announce Type: new Abstract: Large language models (LLMs) rely on long-horizon tool invocation sequences for complex tasks, where each invocation can alter the task state and condition subsequent decis…
- arXiv cs.AIagentsDeReAct: Decomposed Reasoning and Acting for Reliable AI Agents
arXiv:2610.02351v1 Announce Type: new Abstract: ReAct-based agents typically rely on a single LLM policy to propose actions, interact with the environment, and decide when a task is complete. This coupling makes action a…
- arXiv cs.AIagentsWhen Terminal-Agent Training Stalls: Demystifying Data Generation and Verification Challenge
arXiv:2610.02405v1 Announce Type: new Abstract: Using a frontier model like Claude Opus as a meta-agent to generate terminal tasks and verifiers for RL training is increasingly common. Yet a runnable Docker image and exe…
- arXiv cs.AIagentsMEA: A Reward-Driven Multi-Agent System for Faithful Model Explanations
arXiv:2610.02480v1 Announce Type: new Abstract: Recent years have seen the employment of a plethora of machine learning (ML) models in high-stakes domains, but they remain largely opaque to the practitioners who act on t…
- arXiv cs.AIagentsWhat Does a Token Cost? A Mixture-of-Agents Measurement of Sufficient Per-Token Compute
arXiv:2610.02491v1 Announce Type: new Abstract: Large language models spend the same amount of computation on every token they generate, regardless of how difficult each token is to produce. Methods such as speculative d…
- arXiv cs.AIagentsLearning What to Investigate Next: Meta-Reasoning for Long-Horizon Research Agents
arXiv:2610.02525v1 Announce Type: new Abstract: Long-horizon research agents must decide both how to investigate and what to investigate next as evidence accumulates. This is hard to learn because such decisions are spar…
- arXiv cs.AIagentsHow To Train Your World Model: Fine-tuning vs RAG for LM-based World Modeling
arXiv:2610.02542v1 Announce Type: new Abstract: World models (WMs) simulate the transition dynamics of environments, enabling agents to plan over the consequences of their actions. In text-based environments, fine-tuning…
- arXiv cs.AIagentsOpen-Endedness Bench: Measuring Epistemic Process from Agent Records
arXiv:2610.02588v1 Announce Type: new Abstract: Agents are increasingly given open-ended research tasks: discovering an empirical law from self-designed experiments, improving a heuristic whose optimum nobody knows, or b…
- arXiv cs.AIagentsVERSE: Verified Self-Evolving Optimizer for Agent Harnesses
arXiv:2610.02616v1 Announce Type: new Abstract: Harness evolution improves an LLM agent's prompts, tools, and workflow, while the optimizer's own tools and procedures often remain fixed. We study whether an optimizer can…
- arXiv cs.AIagentsLost in the Request: How Communication Variation Disrupts Retrieval and Action in Email Agents
arXiv:2610.02627v1 Announce Type: new Abstract: An email assistant should not complete less work simply because a user phrases the same request differently. Yet most benchmarks test each task with only one canonical requ…
- arXiv cs.AIagentsBatched Speech Decisions Without Decoding: Single-Token Supervision Lets a Frozen LLM Hear Beyond the Transcript
arXiv:2610.02638v1 Announce Type: new Abstract: Full-duplex voice agents make many small, closed decisions, which current systems answer by slow autoregressive decoding. We propose DuplexJev, which feeds ASR-encoder hidd…
- arXiv cs.AIagentsCoherence-Driven Belief Formation and Population Dynamics of Contagion in LLM Agents
arXiv:2610.02654v1 Announce Type: new Abstract: Models of social contagion usually assume how individuals adopt beliefs and derive population behavior from it. We instead empirically measure belief adoption in language m…
- arXiv cs.AIagentsA GHOST in Long-Horizon Agents: Governance Hazard from Overlooked Safety Constraints across Turns
arXiv:2610.02664v1 Announce Type: new Abstract: Long-horizon agents are now playing an increasingly significant role in assisting humans with complex problem-solving. However, it is exactly their extended interaction his…
- arXiv cs.AIagentsDecoupling Memory from Context: Structured Memory for Token-Efficient Test-Time Continual Learning
arXiv:2610.02687v2 Announce Type: replace Abstract: Large language models (LLMs) are increasingly deployed in enterprise, scientific, and medical applications, where agents must incorporate domain-specific knowledge and…
- arXiv cs.AIagentsEgo2World: Compiling Egocentric Cooking Videos into Executable Worlds for Belief-State Planning
arXiv:2610.02715v1 Announce Type: new Abstract: Egocentric videos capture how people carry out everyday activities, yet testing an agent requires evaluating the consequences of actions it chooses itself. We introduce Ego…
- arXiv cs.AIagentsHarness-Aware Distillation for Small Language Model Agents
arXiv:2610.02858v1 Announce Type: new Abstract: Language model agents are deployed with a harness, the software around the model that manages its context, tools, and feedback. When such an agent is distilled into a small…
- arXiv cs.AIagentsPsyEvo: A Personalized Counseling Agent That Self-Evolves at Test Time
arXiv:2610.02885v1 Announce Type: new Abstract: Mental health disorders affect a substantial proportion of the global population, yet a persistent shortage of trained practitioners leaves the majority without adequate ca…
- arXiv cs.AIagentsInterpreting at Write Time: A Policy Ablation for Multi-Goal Agent Memory
arXiv:2610.02897v1 Announce Type: new Abstract: A long-running assistant cannot keep everything it has seen, so it summarises. Summarising is not neutral: what is kept is chosen against some notion of what the record is…
- arXiv cs.AIagentsHASTE: Evolving Agent Harnesses Against Emerging Attacks Using Sparse Evidence
arXiv:2610.02920v1 Announce Type: new Abstract: Agent harnesses play a critical role in defenses by enforcing safety constraints to prevent unsafe actions. However, rapidly emerging attacks outpace manual harness adaptat…
- arXiv cs.AIagentsPositive-Unlabeled Learning for Agent Safety False Alarm Auditing
arXiv:2610.02925v1 Announce Type: new Abstract: Safety monitors help safeguard language-model agents interacting with external tools and environments, but conservative monitoring can generate many false alarms, consuming…
- arXiv cs.AIagentsWhen to Compile a Computer-Use Agent? Measuring Payback and Making Compilation Decisions for Token Efficiency
arXiv:2610.02932v1 Announce Type: new Abstract: Compiling GUI procedures that agents execute repeatedly into programs can reduce their token costs. However, measuring payback and deciding when to compile have two challen…
- arXiv cs.AIagentsContinual Graph Memory for Mathematical Research Agents
arXiv:2610.02945v1 Announce Type: new Abstract: Using frontier agent harnesses to tackle mathematical research problems has emerged as an effective means of advancing mathematics. However, solving frontier problems in ma…
- arXiv cs.AIagentsDyadMem: A Long-Term Memory Benchmark of How Agents Work with Users
arXiv:2610.03020v1 Announce Type: new Abstract: Long-term agents must remember not only what is true about a user, but also how a particular agent should work with that user as their shared history evolves. Existing benc…