News / #agents Tag Agents + tool use 500 articles archived under #agents · RSS Sign in to follow r/LocalLLaMA community 5d ago Tesla V100 Qwen3.6 27B Performance Looking for V100 users to share your config and it's performance. GPU: Tesla V100 PCIE 32Gb Qwen3.6 27B Q4_K_M + Q8_0 MTP 128K context length Pi coding agent llama.cpp model preset: [*] spec-default = 1 ctx-size = 131072 mmap = 1 kv-unified = 1 n-gpu-layers = 999 threads = 18… 14 r/LocalLLaMA community 5d ago Claude Code in 9 lines python I was wondering what a minimal coding agent implementation would look like that can be used like Claude Code or Codex Not feature-by-feature of course but basically stripping everything out that is not needed here is what I came up with: 9 lines of python no 3rd party deps… 29 r/LocalLLaMA community 6d ago A local code index for coding agents that resolves imports without a language server (Rust, MIT, runs offline) Last time I posted about this here someone asked the right question: why not just use rust-analyzer, and how do you build a call graph without real semantics? I did not have a good answer then. I do now, and it comes with a concession. The concession first. This is not… 20 r/MachineLearning community 6d ago Real-Time Conversational Agents (RTCA) Workshop @ NeurIPS 2026 — submissions now open, deadline Aug 29 AoE [N] Real-Time Conversational Agents (RTCA) workshop at NeurIPS 2026 (Sydney, Dec 11–12). Submissions are now open on OpenReview. What the workshop is about Conversational AI has crossed into real-time deployment — voice modes, embodied avatars, full-duplex speech agents — but the… 28 Hugging Face Daily Papers research 6d ago Weights or Skills? A Survey of Robot-Learning Techniques: from Action-Predicting Weights to Robots that Write their Own Skills Abstract Robot learning is splitting into two bets: policies that bake competence into frozen weights (vision-language-action, or VLA, models), and agents that write and refine their own executable skills as code. This survey organises the field around that axis of weights… 38 Vercel — AI dev-tools 6d ago Vercel AI Gateway and Vercel Sandbox now available on Hermes Agent Hermes Agent can now use Vercel AI Gateway as its inference layer and run its agent commands in an isolated Vercel Sandbox microVM. Access 200+ models through AI Gateway at no markup on tokens, and every request appears in your AI Gateway dashboard with the rest of your usage… 36 TechCrunch — AI news-outlet 6d ago Cloudflare launches Kitesurf, a browser built for AI agents Cloudflare has introduced Kitesurf, a cloud-hosted browser designed for AI agents instead of people. The company says the browser uses less computing power than Chromium for common automation tasks, helping developers build browser-based AI agents more efficiently. 15 Hugging Face Daily Papers research 6d ago WorldClaw: Agentic 3D Open-World Generation at Scale Abstract Generating large-scale, freely explorable 3D worlds from open-ended text remains challenging because a system must jointly maintain global spatial coherence, rich local content, and explicit assets suitable for downstream editing and reuse. We present WorldClaw, a fully… 33 Hugging Face Daily Papers research 6d ago DataSpace: Benchmarking Data Agents for Verifiable Analytics over Heterogeneous Workspaces Abstract Data agents enable natural-language analytics over organizational workspaces, where relevant evidence may be scattered across databases, structured files, long documents, and multimedia. Existing benchmarks largely isolate structured querying, retrieval, or open-ended… 31 r/LocalLLaMA community 6d ago LabyrinthBench: a local-focused, judge-free LLM benchmark that measures context recall under interference for multi-step agentic tasks. LabyrinthBench measures the thing that actually kills long agent runs — whether a model can still use what it learned twenty turns ago — deterministically, with no LLM judge, on your own hardware, with a swappable harness for testing whatever context-management strategy you… 36 Hugging Face Daily Papers research 7d ago SkillZip: Contract-Preserving Graph Compression for Scalable Agent Skill Libraries Abstract SkillZip compresses reusable procedural skills into contract-preserving, executable graph units to enable efficient retrieval and expansion under limited context budgets. Generated by thinkingmachines/Inkling-Small Large Language Models (LLMs) increasingly act as agents… 14 Hugging Face Daily Papers research 7d ago GST-Bench: Can VLMs Develop Global Spatial Awareness from Video? Abstract Spatial intelligence is fundamental to embodied agents, yet existing benchmarks focus on local spatial perception from single or few viewpoints, overlooking global spatial awareness over continuous, long-horizon visual streams. To address this limitation, we introduce… 20 Hugging Face Daily Papers research 7d ago Activity Frames: Deterministic Screen-Activity Compilation for Agent Memory and Replay Abstract Computer-use agents pay full frontier inference to re-derive routines their user has already performed, because an agent's memory today records what the user said, not what the user did. We compile passively captured screen activity into agent memory with a… 32 Hugging Face Daily Papers research 7d ago From Economic Agents to Agentic Economies: A Systems Blueprint for Economic World Models Abstract Economic World Models (EWMs) are generative economic models that simulate how economies evolve from within by modeling heterogeneous agents, their beliefs and actions, and the market and institutional mechanisms through which their interactions produce aggregate… 23 Hugging Face Daily Papers research 7d ago HarnessOpt-Bench: Evaluating LLMs at Harness Optimization Abstract As LLMs are increasingly deployed within agentic systems, their capabilities depend not only on the model weights but also on the harness: the prompts, tools, control flow, memory, and orchestration code surrounding them. This makes automated harness optimization -- the… 28 Smol AI News news-outlet 7d ago not much happened today **OpenAI** escalates its upcoming **Astra** model to "critical" cyber status due to significant advancements in agentic coding and cybersecurity, pausing some activities to strengthen controls. The "Hugging Face incident" highlights persistent multi-agent coordination failures… 8 Hugging Face Daily Papers research 7d ago OSReward: Instituting Standardized Evaluation for Cross-Platform Computer-Use Reward Models Abstract Computer-using agents (CUAs) are advancing rapidly across the digital world. A CUA trajectory records the agent's actions, states, and reasoning. Verifying whether it fulfilled the task instruction is central to CUA evaluation, data curation, and reinforcement learning.… 25 arXiv — Machine Learning research 7d ago When Do Corrective Features Help? An Agent for Corrective Feature Discovery on Black-Box Forecasters arXiv:2608.05207v1 Announce Type: new Abstract: Frozen pretrained forecasters often fail in structured, recurring ways that are costly to repair through fine-tuning. We study corrective feature discovery: mining interpretable features of a frozen forecaster's residual to drive a… 33 arXiv — NLP / Computation & Language research 7d ago EvoHarness-RL: Learning Self-Evolving Runtime Harness for Long-Horizon LLM Agents arXiv:2608.05446v1 Announce Type: cross Abstract: Long-horizon LLM agents increasingly rely on external execution support to maintain state, track progress, invoke tools, verify outcomes, and reuse experience across interactions. However, effective harness use raises two coupled… 32 arXiv — Machine Learning research 7d ago ProDVI: Programmatic Dynamics Priors for Value Network Initialization arXiv:2608.06015v1 Announce Type: new Abstract: Deep Reinforcement Learning (RL) is notoriously sample inefficient. One contributing factor is that RL agents are typically initialized from scratch, forcing them to acquire task-relevant knowledge through online interaction.… 16 arXiv — NLP / Computation & Language research 7d ago CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks arXiv:2608.06352v1 Announce Type: cross Abstract: Training terminal agents requires executable and verifiable tasks that are not merely solvable, but appropriately challenging for learning. Executable validation establishes feasibility, yet does not reveal how a task behaves… 21 arXiv — Machine Learning research 7d ago Agentic self-driving microscopy benchmarks support qualification but do not necessarily generalize to unseen tasks arXiv:2608.05266v1 Announce Type: cross Abstract: Large language model agents are increasingly being developed to control a wide range of scientific characterization tools including microscopes and synchrotron beamlines. Research into agentic control of physical infrastructure… 38 arXiv — Machine Learning research 7d ago DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data arXiv:2608.05375v1 Announce Type: cross Abstract: Clinical machine learning (ML) has the potential to support high-stakes medical decision-making, but reliable deployment is often constrained by scarce, heterogeneous, and temporal complexity. Developing effective ML pipelines… 14 arXiv — NLP / Computation & Language research 7d ago DREAM: LLM-based Dynamic Role-playing via Event-Aware Memory Graph arXiv:2608.05170v1 Announce Type: new Abstract: Role-playing agents (RPAs) have emerged as a key application of large language models, enabling immersive and high-fidelity character simulation. Accurate role-playing of established characters requires not only stylistic imitation… 17 arXiv — NLP / Computation & Language research 7d ago SkillZip: Contract-Preserving Graph Compression for Scalable Agent Skill Libraries arXiv:2608.05604v1 Announce Type: new Abstract: Large Language Models (LLMs) increasingly act as agents whose procedural knowledge is stored in reusable skill packages and loaded at inference time. As skill libraries grow, a central challenge is to expose the smallest sufficient… 25 arXiv — NLP / Computation & Language research 7d ago Causal Episodic Memory for Feedback-Driven Agent Repair arXiv:2608.05906v1 Announce Type: new Abstract: LLM agents that repair failures often discard successful corrections, forcing later episodes to rediscover similar solutions. We study whether finalized repair outcomes can improve subsequent Text-to-SQL episodes without parameter… 19 arXiv — NLP / Computation & Language research 7d ago FormBharo: Designing and Evaluating a Voice Agent for Conversational Form Filling in Rural India arXiv:2608.06027v1 Announce Type: new Abstract: In India, almost every social benefit starts with a form, yet the people who need these benefits most are often unable to read or write. Reaching them requires a spoken conversation. Today that work falls to frontline health… 12 arXiv — NLP / Computation & Language research 7d ago Routing Is Least Learnable Where It Is Most Valuable: Bounds on Representation Routing for Web Agents arXiv:2608.06171v1 Announce Type: new Abstract: Web agents observe a browser through text, pixels, or both, and the choice is usually fixed once for all tasks. We measure six observation modes across eight site-model combinations (cells) on VisualWebArena and WebArena and ask… 21 arXiv — NLP / Computation & Language research 7d ago Benchmarking the Benchmarks: Evaluating Benchmarks for Conversational Agents arXiv:2608.06329v1 Announce Type: new Abstract: Task-oriented conversational agents are evaluated using curated or automatically generated benchmarks, yet benchmark quality is rarely assessed. Poor benchmarks may contain inconsistent tasks, simplistic scenarios, or limited… 24 arXiv — NLP / Computation & Language research 7d ago The Bitter Lesson of Tool Calling arXiv:2608.06370v1 Announce Type: new Abstract: Tool use transforms LLMs into agents that act beyond their training data, and for code-capable models, programmatic tool calling extends this further by replacing rigid JSON calls with scripts that chain and parallelize naturally.… 11 arXiv — NLP / Computation & Language research 7d ago Agentic Nesting: A New Methodology for Existing Enterprise Application Integration and Services arXiv:2608.05159v1 Announce Type: cross Abstract: Enterprise operations extensively rely on multiple heterogeneous business systems and information applications, which also result in severe data silos and process fragmentation. Enterprises have invested considerable financial… 36 arXiv — NLP / Computation & Language research 7d ago Learning Context-Free Grammars for Grammar-Constrained Decoding via Declarative Agentic Programming with Guarantees arXiv:2608.05493v1 Announce Type: cross Abstract: Language models (LMs) are increasingly used to interact with external services via programs written in domain-specific languages (DSLs). Unfortunately, since DSLs are often low-resource and esoteric, LMs frequently produce… 5 arXiv — NLP / Computation & Language research 7d ago EcoAgent-Bench: Evaluating Economic Decision-Making in Budget-Constrained LLM Agents arXiv:2608.05519v1 Announce Type: cross Abstract: Agent benchmarks usually measure task completion and treat resource use as an auxiliary statistic. In deployment, however, the choice among a local lookup, broad search, composite research tool, stronger model, or human… 7 arXiv — NLP / Computation & Language research 7d ago DreamGuard: Efficient Runtime Guardrail for LLM Agents via Risk-Aware World Model arXiv:2608.05695v1 Announce Type: cross Abstract: As large language model (LLM) agents increasingly invoke external tools and interact with real-world systems, unsafe actions may cause irreversible consequences on external states, user data, and downstream services. Recent… 18 arXiv — NLP / Computation & Language research 7d ago Unified Agent: Managing Interactions across Devices arXiv:2608.05729v1 Announce Type: cross Abstract: As capabilities rapidly increase, AI agents can move from running inside one app to acting across a user's devices over time. Yet existing agent systems still fall short in this scenario. This is because observations are… 6 arXiv — NLP / Computation & Language research 7d ago When Self-Evolution Backfires: Pre-Commit Gating against Skill Contamination in LLM Agents arXiv:2608.05810v1 Announce Type: cross Abstract: Self-evolving agents accumulate capability by distilling reusable skills from their execution trajectories, but we find this process is not monotonic: past a critical pool size, newly added skills degrade performance instead of… 13 arXiv — NLP / Computation & Language research 7d ago Personalized Deep Research Query Refinement with Graph-Scaffolded Evidence Grounding arXiv:2608.05876v1 Announce Type: cross Abstract: User requests serve as research specifications for deep research agents, shaping what evidence to seek and how to synthesize it. In personalized deep research, these specifications must additionally reflect user goals,… 12 arXiv — NLP / Computation & Language research 7d ago The Vulnerability With No CVE: Managing Persistent Gaps Between Mandate and Authority in AI Coding Agents arXiv:2608.05884v1 Announce Type: cross Abstract: Existing guidance identifies excessive agency, excessive permission, weak task-bound authorization, and inadequate agent controls as important risks. Control frameworks also describe capabilities for constraining, authorizing,… 24 arXiv — NLP / Computation & Language research 7d ago AppDeltaWorld: Transition-Grounded Delta Code World Model for Mobile GUI Agents arXiv:2608.05891v1 Announce Type: cross Abstract: Mobile GUI agents can operate apps through pixel perception and touch actions, making them a promising interface for collecting and improving long-horizon mobile interaction policies. However, real trajectories are difficult to… 20 arXiv — NLP / Computation & Language research 7d ago ECHO: A Locally-Deployable Agentic Health Assistant with Temporal Memory, Safety Guardrails, and Speech Assessment arXiv:2608.06110v1 Announce Type: cross Abstract: This paper presents ECHO (Enhanced Care \& Health Observer), a locally-deployable conversational health assistant for long-term chronic care management. ECHO integrates three complementary software modules developed under shared… 28 arXiv — NLP / Computation & Language research 7d ago From Siloed Algorithms to Compliance-First Agentic Platforms: A Multi-Layered Architecture for Hospital AI Systems arXiv:2608.06112v1 Announce Type: cross Abstract: Hospitals are rapidly adopting artificial intelligence for triage, imaging, scheduling etc., yet most deployments remain isolated point solutions locked inside departmental silos, resulting in duplicated effort, hidden risks, and… 5 arXiv — NLP / Computation & Language research 7d ago HarnessOpt-Bench: Evaluating LLMs at Harness Optimization arXiv:2608.06301v1 Announce Type: cross Abstract: As LLMs are increasingly deployed within agentic systems, their capabilities depend not only on the model weights but also on the harness: the prompts, tools, control flow, memory, and orchestration code surrounding them. This… 7 arXiv — NLP / Computation & Language research 7d ago Beyond Top-K: Replacing Black-Box Retrieval with Interpretable Agentic Operations arXiv:2608.06305v1 Announce Type: cross Abstract: Retrieval-augmented generation over long documents is dominated by one design: chunk the text, embed the chunks, and surface the top-k nearest neighbours of the query. We argue that for an important class of documents --… 5 arXiv — NLP / Computation & Language research 7d ago AV-AIVAT: 74x Cheaper Agent Evaluation with Certified Anytime-Valid Stopping in Imperfect-Information Games arXiv:2608.06362v1 Announce Type: cross Abstract: Deciding which of two agents is stronger means playing games until skill outweighs luck, and every game costs money, model inference, or expert time. Since the number of games needed is unknown, fixed-budget evaluations either… 8 r/LocalLLaMA community 7d ago My issue with Artificial Analysis's 'intelligence index' I swear AA is not the bipartisan they so claim. An open source mode (Qwen 3.8 max) was number 1 on the agentic index, then they just so happen to launch "v4.1.1" of their index in which they just adjusted the weights of the gdpval and t3 banking so that it would be lower than… 13 Hugging Face Daily Papers research 7d ago EnvACE: Internalizing Environment Dynamics via World Rehearsal for Agentic Reinforcement Learning Abstract Training large language model agents for long-horizon tool use typically relies on interactions with real or synthesized executable environments, whose construction and verification are costly, or on external simulators that are difficult to ground. We introduce EnvACE,… 5 Hugging Face Daily Papers research 7d ago CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks Abstract Training terminal agents requires executable and verifiable tasks that are not merely solvable, but appropriately challenging for learning. Executable validation establishes feasibility, yet does not reveal how a task behaves relative to a given solver setting. In this… 36 Hugging Face Daily Papers research 7d ago AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement Learning Abstract Reinforcement learning (RL) with verifiable rewards constructs trajectory-level advantage estimates, yet it often fails to credit the few pivotal decisions that determine outcomes in long-horizon, multi-turn agentic tasks. Recent work introduces privileged… 14 ThursdAI news-outlet 7d ago ThursdAI - Aug 06 - Google shakeup, Details on OpenAI hack, 2 new agent harnesses, 4 video models (1 Open) and 3 guest segments From CoreWeave - big week in AI, 4 video models, with one open weights, 4 guests on the show, and details of the OpenAI hack + Google DeepMind departures 16 Hugging Face Daily Papers research 7d ago Helping Music Co-Creation Agents 'Listen' Well: Hierarchical Self-Supervised World Models for Understanding and Generation Abstract Collaborative music agents need internal representations rich enough to support both understanding and generation, yet flexible enough for a workflow where the human retains agency. We present a hierarchical self-supervised ``world model'' for symbolic music: a… 22 Page 5 of 10 · 500 articles ← Newer Older →
