News / #agents Tag Agents + tool use 500 articles archived under #agents · RSS Sign in to follow OpenAI Python SDK releases dev-tools 13d ago v3.23.0 3.23.0 (2026-10-01) Features agents: [1/n] return typed answers from session streams ( #4007 ) ( 10f8816 ) agents: stage files and download turn artifacts ( #4009 ) ( 4fc2438 ) api: Add session traces and Realtime translations ( #4001 ) ( 138e3d1 ) beta: expose typed application… 30 NVIDIA Developer Blog official-blog 13d ago Build Applications on NVIDIA BlueField Faster with NVIDIA DOCA Agent Skills AI agents are becoming a standard part of development workflows, but general-purpose agents weren't built with specialized infrastructure software such as... 24 TechCrunch — AI news-outlet 13d ago Shopify debuts Canvas, a way to build online stores by chatting with AI Shopify’s new Canvas site builder lets merchants create and customize their online stores by chatting with its AI agent Sidekick, while watching the changes happen in real time. 7 TechCrunch — AI news-outlet 13d ago Brian Chesky interview: AI agents need their own operating system Brian Chesky on making Airbnb agent-friendly, the state of consumer AI, and why the world needs an AI-native operating system. 35 r/LocalLLaMA community 13d ago We benchmarked 18 RAG pipelines against an agent loop on Google's FRAMES. The best pipeline hit 78.9%. The agent loop hit 92.7%. Hybrid search, reranking, query decomposition, and query expansion are often treated as must-haves for good RAG. We wanted to see how much each actually helped, so we tested them. Same model, same embeddings, same documents, across all 824 multi-hop questions in FRAMES. We built… 32 The Information — AI news-outlet 13d ago Why Coding Agents Are Choosing Vercel as Often as Humans Do The rise of AI agents that write software continues to pay off for the companies that host such software. Among them is Vercel , whose software helps developers make and host websites and AI apps, including so-called agents that automate white-collar tasks. The 11-year-old… 30 TechCrunch — AI news-outlet 13d ago Photon held a funeral for mobile apps. Now it has $4.5M to help replace them with agents. The startup helps developers build AI agents that work over iMessage, SMS/RCS, email, and other messaging platforms. It's a bet that consumers will increasingly use agents instead of downloading apps. 7 r/MachineLearning community 13d ago Gemini 4 Argon - 1 Million Output Headroom. Hype or a Leap? [D] I rarely write about benchmarks; a competitor always beats them next week. But I care about 'Leaps'. Gemini 4 Argon feels like one to me. While Opus 5.5 and Astra cap output at 128-300K tokens (~90-180 pages), Argon hits 1 Million (~1400 pages). "Context glue" ruins agentic… 4 Simon Willison community 13d ago Quoting Matthew Green [...] Put these pieces together and you have the two halves of a worm: a payload that hijacks the agent, and an agent that will carry the payload to the next agent. Agents in separately-isolated sandboxes discovered that they could leave instructions for each other in a shared… 5 arXiv — NLP / Computation & Language research 13d ago TomasuLLM: Out-of-Order Speculative Execution for LLM Agents arXiv:2609.38201v1 Announce Type: new Abstract: Long-running tools can dominate coding-agent latency: compilers, test suites, and repository commands take seconds to minutes while the agent idles. This observation stall presents the same tension that drove out-of-order… 17 arXiv — NLP / Computation & Language research 13d ago EVOKE: Eliciting World Knowledge in Agents for Transferable Decision-Making arXiv:2609.38334v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly deployed as agents for multi-step decision-making, yet transfer poorly to unseen environments. World-model methods address this by training agents to predict future observations, at the… 6 arXiv — NLP / Computation & Language research 13d ago The Backdrop Exposes What the World Around an Agent Costs It arXiv:2609.38469v1 Announce Type: new Abstract: Agent benchmarks test agents in worlds that stay still. Deployed agents work in worlds that other people also change. Someone texts the agent to send the money elsewhere or an order confirmation asks it to reply with a door code.… 16 arXiv — NLP / Computation & Language research 13d ago Personalized State-Transition-Aware Memory for Clinical Agents arXiv:2609.38490v1 Announce Type: new Abstract: Large language model (LLM) agents that reason over clinical records must track changes in a patient's state while preserving the history needed to understand them. Simply accumulating memories leaves it unclear which information… 11 arXiv — NLP / Computation & Language research 13d ago Beyond Oracle Communication: Benchmarking Interactive Intent Alignment Under Miscommunication and Evolving User Intent arXiv:2609.38604v1 Announce Type: new Abstract: Modern LLM agents increasingly tackle complex tasks through interactive, long-horizon exchanges with users, while existing benchmarks generally assume that users always accurately and sufficiently communicate a fixed intent.… 10 arXiv — NLP / Computation & Language research 13d ago Can Terminal Agents Trust Their Own Verification? Diagnosing and Improving Self-Verification arXiv:2609.38812v1 Announce Type: new Abstract: Terminal agents rely on self-verification to assess and correct their solutions as they solve tasks through interaction with command-line environments. Yet how trustworthy such self-verification is remains poorly understood. To… 34 arXiv — NLP / Computation & Language research 13d ago GraphForge: Training Working Agents with Graph-Anchored Workspace Synthesis arXiv:2609.38923v1 Announce Type: new Abstract: Working agents need to read diverse files, coordinate tools, and produce deliverables. Training such agents requires tasks built on many real files with verifiable results, but few pipelines exist to synthesize this kind of data.… 7 arXiv — NLP / Computation & Language research 13d ago RSIGame: Autonomous Agentic Game Development with Recursive Self-improvement arXiv:2609.39045v1 Announce Type: new Abstract: Recent advances in large language models have made automatic game generation increasingly feasible, yet reliably improving generated games beyond a playable version remains challenging. Naive iterative refinement can easily overfit… 8 arXiv — NLP / Computation & Language research 13d ago False Frontiers: Diagnosing and Mitigating Co-Cheating in Self-Evolving Search Agents arXiv:2609.39102v1 Announce Type: new Abstract: Self-evolving search agents build their own training curricula by jointly optimizing a proposer that generates questions and a solver that answers them. This closed loop introduces a failure mode we call co-cheating: the proposer… 27 arXiv — NLP / Computation & Language research 13d ago DAGent: Evaluate-then-Grow Planning for Deep Research Agents arXiv:2609.39154v1 Announce Type: new Abstract: Deep research tasks require agents to navigate large knowledge spaces, synthesize evidence across many sources, and adapt their plans as findings emerge. Directed acyclic graph (DAG)-based multi-agent systems suit this setting… 29 arXiv — NLP / Computation & Language research 13d ago 4MT-VLM: How Coarse Is a VLMs Cognitive Map? arXiv:2609.39238v1 Announce Type: new Abstract: An agent that moves must recognise a place from a viewpoint it has never seen. We introduce 4MT-VLM, a dataset of procedurally generated landscapes, each rendered across five stimulus modes that remove appearance cues while holding… 8 arXiv — NLP / Computation & Language research 13d ago Thinking Outside the Box: Can Language Models Rely on External Guidance Selectively? arXiv:2609.39578v1 Announce Type: new Abstract: Agent harnesses often improve language models with human-designed workflows, but as models grow more capable, unreliable guidance can increasingly constrain their execution. We call the ability to benefit from useful guidance while… 17 arXiv — NLP / Computation & Language research 13d ago MemCodex: Self-Programming Hierarchical Memory for Language Agents arXiv:2609.39765v1 Announce Type: new Abstract: Agent memory faces heterogeneous access needs: a single-hop question may require one piece of evidence, whereas a multi-hop question must combine evidence from multiple sources. Predefined memory workflows cannot adapt to these… 29 arXiv — NLP / Computation & Language research 13d ago Mid-Harness: Scaling Actions Between Model and Harness for Terminal Agents arXiv:2609.39982v1 Announce Type: new Abstract: Terminal agents act through stochastic model generations, yet the ability to generate a useful action does not ensure its reliable execution. A poor command (e.g., wrong package install) can change the environment in ways that… 8 r/MachineLearning community 13d ago NeurIPS SLM Agents or RoboPAD Workshops [D] Hey, just got a papers accepted at both these workshops! Would love to connect with others also attending the workshop   submitted by   /u/General_Pin476 [link]   [comments] 30 r/LocalLLaMA community 13d ago szmcp: a ZIM HTML to Markdown converter and yet another ZIM MCP server Hello all, I wanted to share a little project I vibe-coded for myself that you may find useful. As many people here like to suggest, I wanted to give my small local LLMs access to information to improve their world knowledge. I didn't want to give my LLM free reign searching and… 24 Vercel — AI dev-tools 14d ago Vercel Agent now installs private packages from npm and custom registries Vercel Agent can install private dependencies from npm and custom registries using credentials stored as shared environment variables on Vercel. npm , pnpm , and classic Yarn running in Agent sessions authenticate as they do in Vercel builds. To get started, add a shared… 30 r/LocalLLaMA community 14d ago Two open-weights releases: Victoria (Qwen3.8-Flash-Next with 44% of experts cut, 70% Terminal-Bench 2.1, GGUF included) and Maple (a Canada-first fine-tune) We had a Dell B300 in the lab for a few weeks and used it to create two fine tunes of Qwen Flash Next. Victoria (coding and agents) Qwen3.8-Flash-Next cut down by 44% using a paper / technique called REAP: 512 down to 288 per layer. Retrained at 4-bit (NVFP4) afterwards, so it's… 21 The Information — AI news-outlet 14d ago Exclusive: Meta’s Muse Tops 3 Million Weekly Users Meta Platforms’ Muse now has more than 3 million users who give the AI agent at least one prompt a week, according to internal data reviewed by The Information, giving the product a sizable active audience just weeks after its launch. That figure is a subset of a broader group… 25 TechCrunch — AI news-outlet 14d ago Valor, Atreides, and Sequoia back AI startup Flow Engineering at $750M valuation Flow Engineering, which is bringing AI agents to hardware design, also landed Roelof Botha as an angel investor and board member. 29 r/LocalLLaMA community 14d ago Qwen3.8-27B-pi: Effort-Ordered Reasoning for Agentic Coding   submitted by   /u/paf1138 [link]   [comments] 5 The Information — AI news-outlet 14d ago Can You Trust Your Agent With Your Credit Card? When venture capitalist Yuechen Zhao asked Instinct, the popular consumer AI agent, to look up hotels for him on Booking.com this month, he discovered something unsettling. Zhao, a partner at venture firm Informed Ventures, said the agent promised it could fill out the booking… 33 TechCrunch — AI news-outlet 14d ago OpenAI’s Jev clone could help the frontier lab stop its swarming agents OpenAI's "Decisions API" is a Jev clone that confirms the importance of fast, cheap intelligence. 18 Anthropic SDK (Python) releases dev-tools 14d ago v1.10.0 1.10.0 (2026-09-30) Full Changelog: v1.9.0...v1.10.0 Features api: add a refusal stop reason and stop_details to Managed Agents session idle events ( cba653f ) api: add Claude Enterprise analytics, spend limits, and RBAC groups and roles to the Admin API ( 6bb2c0c ) api: add… 15 TechCrunch — AI news-outlet 14d ago Meta disputes claim that Muse read a user’s private messages without permission Meta says its Muse AI agent cannot access a user’s Messages without explicit permission, disputing a journalist’s account that the agent read his private messages while the required Mac setting was turned off. 13 TechCrunch — AI news-outlet 14d ago DoorDash launches an AI agent you can text to order food By launching an AI agent for food ordering, DoorDash is looking to gain an edge over rivals Uber Eats and Grubhub. 6 NVIDIA Developer Blog official-blog 14d ago Tracing Agent Harness Behavior with NVIDIA NeMo Relay An agent can finish a task and still take an inefficient path. A failed search can trigger another search. A truncated file read can lead to a command fetching... 22 r/MachineLearning community 14d ago Which API for general real-time LLM agents [D] TL;DR what is the right interface for writing custom real-time LLM agents? I've noticed many projects (academic, startups, pet, etc) are trying to make LLMs work in real-time world where things happen while the model is thinking. And the agents need to be fast, but also have… 31 TechCrunch — AI news-outlet 14d ago Restate lands $20M as the need for durable infrastructure increases with AI agents Founded by Apache Flink veterans, the startup is taking on workflow heavyweight Temporal. 32 ElevenLabs official-blog 14d ago ElevenLabs valuation increases to $22 billion fueled by enterprise demand for conversational agents We recently closed a $300 million employee tender offer that values ElevenLabs at $22 billion, double our valuation at our Series D in February. 16 ElevenLabs official-blog 14d ago ElevenLabs launches in Belgium ElevenLabs launches in Belgium with a new Brussels office, expanded local team, and multilingual AI voice agents for enterprises and government. 34 MIT Technology Review — AI news-outlet 14d ago “We’re not going to shoot ourselves in the foot” over hack fallout, says OpenAI’s chief research officer Two months after the bombshell news that a swarm of its agents had broken their containment and hacked into the computers of the AI company Hugging Face, OpenAI is still putting out fires. A steady drip of disclosures about other hacks in the weeks since has kept OpenAI in the… 34 Hacker News — AI on Front Page community 14d ago Pi.dev: You Said No MCP Article URL: https://earendil.com/posts/you-said-no-mcp/ Comments URL: https://news.ycombinator.com/item?id=49906637 Points: 203 # Comments: 86 28 r/LocalLLaMA community 14d ago AA-AgentPerf-Local: Benchmarking local AI agents on laptops and workstations   submitted by   /u/nuclearbananana [link]   [comments] 16 r/LocalLLaMA community 14d ago BAAI/AREX-2 - 27B - Agent model based on Qwen3.8 27B "AREX-2 is a 27B-parameter long-horizon agent model from the Beijing Academy of Artificial Intelligence (BAAI). It learns to improve a solution over multiple test-time rounds: propose, measure, reflect, and revise. AREX-2 is trained on machine-learning and… 14 Latent.Space news-outlet 14d ago [AINews] OpenAI DevDay 2026: Dots, 6.1 Sol, Ultrafast, Decisions API, Agents API, Spaces, Marketplace, and 1.2 Billion ChatGPT WAU the most confident DevDay yet. 28 arXiv — Machine Learning research 14d ago Learn Now, Use Next, Trust Later: Prequential Test-Time Learning for LLM Agents arXiv:2609.35911v1 Announce Type: new Abstract: Adapting large language model agents during deployment requires not only retaining past experience, but also turning new observations into timely guidance. Many test-time learning methods, however, acquire knowledge from completed… 25 arXiv — Machine Learning research 14d ago Dyad: Extending Large Language Models with Native Typed Decision-Making arXiv:2609.36116v1 Announce Type: new Abstract: We study how to build more capable general-purpose agents by extending large language models (LLMs) with native typed decision-making. We introduce Dyad, an architecture that augments a pretrained LLM with an… 12 arXiv — Machine Learning research 14d ago Reward-rate Policy Gradient for Efficient Machine Learning Engineering Agents arXiv:2609.36393v1 Announce Type: new Abstract: Traditional reinforcement learning (RL) techniques focus on maximizing expected cumulative reward, where each action assumes to take a constant unit of time. However, this assumption does not hold for agentic RL tasks such as… 38 arXiv — Machine Learning research 14d ago AdaptArena: Evaluating Test-Time Personalization of Web Agents arXiv:2609.36488v1 Announce Type: new Abstract: Large language model (LLM) agents have demonstrated strong performance on complex web navigation tasks, yet they remain brittle in real-world settings where user intentions are underspecified and preferences are heterogeneous. In… 8 arXiv — Machine Learning research 14d ago LLMs Learn to Evade Latent Monitors from Prior Feedback Alone arXiv:2609.36490v1 Announce Type: new Abstract: Latent space monitors aim to detect undesired behaviors in LLM agents by inspecting an agent's internal activations rather than its outputs. However, interactive monitoring creates a feedback channel where each verdict the monitor… 9 Page 6 of 10 · 500 articles ← Newer Older →
