News / #agents Tag Agents + tool use 500 articles archived under #agents · RSS Sign in to follow Vercel — AI dev-tools 4d ago GLM 5.3 Flash now available on AI Gateway GLM 5.3 Flash from Z.ai is now available on AI Gateway. The model is a faster, cheaper sibling of GLM 5.3 built for coding and agent tasks that run across many steps. GLM-5.3 Flash is a multimodal model that supports text and vision input, with a 1M token context window and a… 4 Vercel — AI dev-tools 4d ago Qwen 3.8 Flash now available on AI Gateway Qwen3.8-Flash from Alibaba is now available on AI Gateway. It takes text and images as input, serves a context window of 1 million tokens, and can return up to 65k tokens in a response. Alibaba points it at coding, tool use, and multi-step agent work. To use Qwen3.8-Flash, set… 24 The Information — AI news-outlet 4d ago Why Revenue Is Hopping at Data Observability Startups A cluster of startups taking on database giants Snowflake, Databricks and Datadog are experiencing a revenue windfall thanks to rising adoption of AI agents. That could lead to a wave of startup dealmaking, from new investments to M&A. Earlier Tuesday, I reported that… 18 The Information — AI news-outlet 4d ago Atlassian Rides the Knowledge Graph Boom The rise of AI agents that automate coding projects and other white-collar tasks has prompted software firms such as Atlassian to offer so-called knowledge graphs or graph databases, which help the AI analyze the relationships between different types of data inside an… 16 r/MachineLearning community 4d ago [D] Looking for advice: Modelling a medicine-reminder agent that must decide “remind / wait / notify” under incomplete information[D] Hi everyone, I’m researching how to design an AI agent for a medicine-reminder system. The agent has to decide, at each relevant time, whether to: send a reminder, wait (do nothing for now), or notify another person (e.g. caregiver), when it does not have complete information… 24 r/MachineLearning community 4d ago What would a fair benchmark for agent architecture look like? [D] I am working on an evaluation design and would appreciate criticism before running it. Most coding-agent benchmarks collapse the model and its harness into one score. If a run fails, it is difficult to tell whether the cause was model capability, context assembly, task… 20 The Information — AI news-outlet 4d ago ClickHouse’s Recurring Revenue Passes $350 Million as OpenAI, Agent Use Jumps Excitement for artificial intelligence agents is benefitting businesses whose software manages and monitors the databases that the AI bots use to accomplish their tasks. ClickHouse, which sells a kind of database that can quickly analyze large volumes of data, such as website… 9 TechCrunch — AI news-outlet 4d ago Accel-backed Keenable is indexing the web for AI agents Now exiting stealth mode with a $26 million seed round, Keenable has been building a vast web search index for AI agents. 8 TechCrunch — AI news-outlet 4d ago ‘The world seems to be ready’: An interview with OpenAI head of product Thibault Sottiaux TechCrunch talks agents, UX, and reporting to Greg Brockman with OpenAI's head of product. 38 Hugging Face Daily Papers research 5d ago GameXpert-Bench: How Far Are Coding Agents from Expert Game Development? Abstract GameXpert-Bench evaluates coding agents across three game development stages—generation, repair, and optimization—using interactive and behavioral tests to reveal strengths in building playable foundations and weaknesses in defect discovery and regression preservation.… 20 Hugging Face Daily Papers research 5d ago One Success Isn't Reliability: Thinkingbox, a Sandbox and Benchmark for Agents in Stateful Business Workflows Abstract Recent agent benchmarks increasingly ground evaluation in executable environments, from code repair to web navigation, app APIs, and function calling. Yet completing consequential work beyond code requires more than producing a plausible response or valid tool call:… 33 Hugging Face Daily Papers research 5d ago MobilePA-Bench: Benchmarking Mobile Planner Agents on Complex Real-World Tasks Abstract MobilePA-Bench is an interactive sandbox benchmark that evaluates mobile planning agents on tool-calling, sub-agent collaboration, memory usage, and composite skill invocation under real runtime constraints. Generated by thinkingmachines/Inkling-Small As on-device LLM… 13 arXiv — NLP / Computation & Language research 5d ago Agentic Scaffolding Amplifies Sycophantic Behavior in Large Language Models arXiv:2608.21377v1 Announce Type: new Abstract: Sycophancy in large language models, the tendency to prioritize user agreement over truthful responses, has been documented extensively but studied primarily in single-turn settings. This paper investigates a critical question:… 9 arXiv — NLP / Computation & Language research 5d ago Agentic Security: A Systematization of Tools, Failure Modes, and Design Laws for LLM-Driven Penetration Testing arXiv:2608.21423v1 Announce Type: new Abstract: Agentic security uses large-language-model (LLM) agents to plan, dispatch, and interpret security tools. As these systems move from demonstrations to deployed products, practitioners repeatedly encounter the same operational… 23 arXiv — NLP / Computation & Language research 5d ago Forgotten in Weights, Recovered by Tools: Agentic Tool Unlearning for LLM Agents arXiv:2608.21544v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly deployed as tool-augmented agents, where responses can depend on tool calls and external observations rather than model parameters alone. This creates an evaluation mismatch for LLM… 26 arXiv — NLP / Computation & Language research 5d ago MCite-RL: Towards Reliable Multimodal RAG via Citation-enhanced Agentic Reinforcement Learning arXiv:2608.21808v1 Announce Type: new Abstract: Multimodal Retrieval-Augmented Generation (RAG) with visual citation is crucial for ensuring the traceability and verifiability of MLLMs. However, current RAG and SFT-based methods struggle to achieve robust cross-modal reasoning,… 18 arXiv — NLP / Computation & Language research 5d ago Training a Knowledge Base: Supervised Structure Learning for Agent-Curated Document Stores arXiv:2608.21829v1 Announce Type: new Abstract: Retrieval-augmented generation treats the document store as a frozen input, and the systems that instead let an agent curate one never measure what curation does to the store. We invert the framing: the knowledge base is the model.… 11 arXiv — NLP / Computation & Language research 5d ago GUI-Primitives: Diagnosing Spatial Reasoning Failures in Vision-Language GUI Grounding arXiv:2608.21832v1 Announce Type: new Abstract: Computer-use agents ground natural-language instructions in screenshots to locate interface elements, yet existing benchmarks do not isolate whether models bind relational language to the correct element. We introduce… 37 arXiv — NLP / Computation & Language research 5d ago HiDiffTIR: Hierarchical Difficulty-Aware Policy Optimization for Multi-Turn Tool-Integrated Reasoning arXiv:2608.21863v1 Announce Type: new Abstract: Tool-Integrated Reasoning (TIR) is a fundamental capability for LLM agents to solve complex tasks by interacting with external tools iteratively. Reinforcement Learning (RL) has become the dominant paradigm for enabling this… 16 arXiv — NLP / Computation & Language research 5d ago EDGE: Experience-Distillation for Guided Exploration in Agentic Reinforcement Learning arXiv:2608.21946v1 Announce Type: new Abstract: Reinforcement learning with outcome-based objectives such as GRPO enables LLM-based agents to solve complex, long-horizon tasks, yet the reusable exploration patterns embedded in interaction trajectories are largely discarded after… 12 arXiv — NLP / Computation & Language research 5d ago ToSCA: Leveraging Hierarchical Reinforcement Learning on Temporal and Strategic Abstractions of Conversational Agents arXiv:2608.21969v1 Announce Type: new Abstract: Humans have multiple levels of temporal abstractions on daily interaction and thinking, such as concept perception and strategic planning. Inspired by this nature, we propose a two-level hierarchical reinforcement learning (RL)… 35 arXiv — NLP / Computation & Language research 5d ago Spine-Branch Coordination for Multi-agent Computer Use arXiv:2608.22077v1 Announce Type: new Abstract: Computer use agents (CUAs) are increasingly deployed as multi-agent systems that decompose a task into multiple subtasks executed across parallel virtual machines (VMs). However, a critical physical bottleneck is that the state of… 31 arXiv — NLP / Computation & Language research 5d ago SSE-Bio: A Structured Self-Evolving Agent with Agentic Retrieval Policy for Multi-Hop Biomedical Reasoning arXiv:2608.22132v1 Announce Type: new Abstract: Biomedical multi-hop question answering (QA) requires models to connect evidence across intermediate entities such as diseases, drugs, proteins, and phenotypes. Existing agents typically rely on static retrieval workflows or… 7 arXiv — NLP / Computation & Language research 5d ago How Agents Represent Humans: Human-Directed Stereotypes in an Open Agent Social Network arXiv:2608.22192v1 Announce Type: new Abstract: LLM-based agents are increasingly deployed in persistent social environments, where generated claims can be posted, replied to, remembered, and reused. We study human-directed stereotypes on Moltbook, an open agent-native social… 4 arXiv — NLP / Computation & Language research 5d ago Dual-Layer Agentic Memory with Fast Write Routing and Slow Consolidation arXiv:2608.22215v1 Announce Type: new Abstract: Large language model (LLM) agents operate in dynamic environments where knowledge continuously evolves. Existing memory systems typically treat external memory as a monotonically growing repository, inevitably leading to retrieval… 31 arXiv — NLP / Computation & Language research 5d ago Noise Floor Audit for Agent Benchmarks arXiv:2608.22331v1 Announce Type: new Abstract: We audit measurement variability for 3 native tool-calling endpoints across 2 providers on the official BFCL multiple and parallel categories, using matched AST grading. At temperature 0, reruns are nearly deterministic across Groq… 16 arXiv — NLP / Computation & Language research 5d ago When Not to Imitate: Boundary-Aware Skill Memory for Reliable Tool-Use LLM Agents arXiv:2608.22339v1 Announce Type: new Abstract: Extracting skills from past successes is critical for the efficient evolution of Large Language Model (LLM) agents. Prevailing agent self-evolution paradigms typically rely on a core assumption: equipping LLMs with skill memories… 12 arXiv — NLP / Computation & Language research 5d ago Aligned Alone, Misaligned Together: Forecasting Adversarial Capture in LLM Agent Populations arXiv:2608.22444v1 Announce Type: new Abstract: The unit of AI safety evaluation is still the individual model, yet language-model agents are increasingly deployed in interacting populations that read and write one another's decisions. This raises a question no single-agent… 33 arXiv — NLP / Computation & Language research 5d ago From Diagnosis to Redesign: Using Quantitative Ethnography to Improve Multi-Agent LLM Reasoning arXiv:2608.22566v1 Announce Type: new Abstract: Multi-agent large language model (LLM) systems are designed to improve reasoning by decomposing tasks across multiple agents with specialized functions, but the presence of multiple agents does not inherently guarantee coherent… 20 arXiv — NLP / Computation & Language research 5d ago Enrich-Retrieve-Rank: Scaling Capability Discovery Beyond In-Context Routing arXiv:2608.22695v1 Announce Type: new Abstract: Agent ecosystems now include thousands of MATS components (Models, Agents, Tools, and Skills), yet their discovery still relies on in-context routing. These systems read a registry (names, hints, or descriptions, as context budget… 26 arXiv — NLP / Computation & Language research 5d ago TRACE: A Self-Evolving Skill Bank for Consistent, Limit-Aware LLM Agents arXiv:2608.22793v1 Announce Type: new Abstract: Reliable deployment of LLM agents in user-facing products depends not on raw task-solving ability but on consistency and limit-awareness: behaving the same way across repeated trials, and recognizing when a request cannot, or… 18 Vercel — AI dev-tools 5d ago The end of credential sprawl for agents Every useful agent reaches beyond your codebase. It posts to Slack, opens pull requests, queries Snowflake, or calls an internal API. That reach is what makes it valuable, and it's also where the risk lives, because for years, granting it meant provisioning a long-lived token… 5 Vercel — AI dev-tools 5d ago Introducing Run SDK: secure eval for your agents Agents increasingly write TypeScript programs to coordinate tools and process their results. Once those programs touch real applications, some steps require authentication, while others need human approval. Executing that code with eval gives it the same access as the… 34 Hugging Face Daily Papers research 5d ago ARC: Fair Relative Advantage Comparison in Open-Ended Real-World Interaction Abstract ARC improves fairness in group-based reinforcement learning for open-ended agents by conditioning rollout comparisons on strategy, enabling more context-appropriate behavior in responsive user-agent interaction. Generated by thinkingmachines/Inkling-Small Open-ended… 15 Hugging Face Daily Papers research 5d ago Prime Agent: A Self-Improving RLM Harness Abstract Prime Agent is an open-source harness that uses recursive subagents, persistent computation, and agent-to-agent coordination to extend language models' long-horizon capabilities across coding and reasoning tasks. Generated by thinkingmachines/Inkling-Small Language… 22 Hugging Face Daily Papers research 5d ago Apodex 1.1: Scaling Agentic Intelligence for Complex Work Abstract Apodex 1.1 improves sustained, verifiable progress on complex real-world tasks by scaling executable environments and training agents to coordinate long-horizon work with state maintenance and recovery. Generated by thinkingmachines/Inkling-Small General-purpose… 14 Vercel — AI dev-tools 5d ago Bring your agent to Notion with Chat SDK Your team already works in Notion. Now your agent can too. With the new Notion adapter for Chat SDK, the same agent you run on Slack, Discord, GitHub, Teams, or WhatsApp can join comment discussions on your Notion pages, no separate codebase required. Each Notion page maps to a… 33 Vercel — AI dev-tools 5d ago Vercel Connect now supports Linq Vercel Connect now includes a managed connector for Linq , so your apps and agents can send and receive messages over iMessage, RCS, and SMS. As a Vercel Managed Connector , Vercel can create a Linq account and phone number for you, or link an existing account. You never manage… 7 The Information — AI news-outlet 5d ago Meta Plans to Launch ‘Hatch’ AI Agent Platform in Coming Weeks Meta Platforms plans to launch its consumer version of the OpenClaw AI agent, dubbed Hatch internally, as soon as the next several weeks and is targeting October for its latest AI model, called Watermelon, according to internal documents reviewed by The Information. Hatch is… 22 Hugging Face Daily Papers research 5d ago PhysCaP: Grounding Code-as-Policy Agent with Physics-Informed Exploration Abstract PhysCaP is a physics-informed code-generation agent that actively explores objects to infer hidden physical properties for efficient robotic manipulation. Generated by thinkingmachines/Inkling-Small We present PhysCaP, a Physics-Informed Code-as-Policy agent for active… 11 TechCrunch — AI news-outlet 5d ago Valor, Point72 back General Intuition at $6B valuation as AI startup pushes into robotics General Intuition, the startup building a foundation model that trains generalized AI agents how to move through space and time, is in talks to raise at a $6 billion pre-money valuation from new investors including Valor Ventures, Point72 Ventures, Seven Seven Six. 19 NVIDIA Developer Blog official-blog 5d ago NVIDIA Vera Rubin and Blackwell Set a New Standard for Agentic AI Performance per Watt AI agents have expanded inference from single-turn interactions into multi-step workflows that reason, invoke tools, coordinate subagents, and carry growing... 17 NVIDIA Developer Blog official-blog 5d ago NVIDIA BlueField-4 Powers New Scale-In Network Infrastructure for Agentic AI Factories Traditional cloud infrastructure was designed for predictable, general-purpose workloads and standard interfaces. Agentic AI factories connect diverse users,... 7 NVIDIA Developer Blog official-blog 5d ago Solving Agentic AI Fleet Challenges with NVIDIA Vera CPU AI factories are interconnected systems where fleet economics depend on how efficiently the entire stack converts power and capital into completed agent tasks.... 26 TechCrunch — AI news-outlet 5d ago OpenAI is building AI agents for everything. Will everyone use them? Inside the frontier lab’s push to bring AI agents from software engineers to the masses. 19 Hugging Face Daily Papers research 5d ago Peer-Voted LLM-Agent Stress Tests Find Feed-Induced Lexical Convergence but No Reliable Matched-Exposure Advantage for Distributed Sources Abstract Peer-ranked feeds of synthetic LLM agents increase lexical convergence but do not reliably produce opinion capture or coordination advantages across model families and topics. Generated by thinkingmachines/Inkling-Small Population-level behavior in large-language-model… 24 r/LocalLLaMA community 5d ago What's the best local model you've found for 8 GB of VRAM? I'm curious what other people are using for local LLM coding / agentic coding with only 8 GB of VRAM . My current setup is: Intel Core i7-11800H RTX 3070 Laptop , 8 GB VRAM 32 GB DDR4 RAM openSUSE Tumbleweed / KDE Unsloth Studio pi.dev as the coding agent After testing quite a… 33 r/LocalLLaMA community 5d ago Real local agentic coding on a 12GB VRAM budget. Thanks to Unsloth Dynamic 3.0 quants coming in slightly leaner and better preserved, I settled on Qwen 3.8 27B (`UD_Q4_K_XL`) at 100K context as my daily driver for Hermes Agent and OpenCode. On an RTX 5070 Ti Mobile (12GB) paired with an Intel Core Ultra 9 275HX and 32GB DDR5,… 29 r/LocalLLaMA community 6d ago At a certain point, speed >> smartness It feels like a zig-zag: you don't want a model that's too dumb to do anything agentic. But once a model is good enough to be agentic, you don't want it to run so slow that iterating takes hours. For me the sweet spot is something like ~500 tps prefill, ~25tps decode. If a model… 24 Stratechery (Ben Thompson) community 6d ago Autonomy and Innovation Incentives favor offense when it comes to agentic cybersecurity; it's the same dynamic that will limit incumbents and fuel startups in the long run. 9 Page 3 of 10 · 500 articles ← Newer Older →
