News / #agents Tag Agents + tool use 500 articles archived under #agents · RSS Sign in to follow r/LocalLLaMA community 12d ago Local agentic coding Benchmark : Qwen 3.8 27B (in many weights quants / cache quants / engine / reasoning effort) vs others. In medium reasoning mode, it both scores higher than the 3.6 version, AND is very much more efficient (almost half requests needed, and a third less tokens generated) - at DeepSeek v4 Flash 3107 MXFP4 level The xhigh mode is advertised to be the best one for hard tasks. In this… 32 r/LocalLLaMA community 12d ago Qwen3.8 27B > Opus 5 Medium on Artificial Analysis Agentic Index https://preview.redd.it/xh1rloaf4zjh1.png?width=1628&format=png&auto=webp&s=a536fae1b50b327f2bc55d4f4f874f94ae66e867 Thanks Qwen team!   submitted by   /u/secopsml [link]   [comments] 14 r/LocalLLaMA community 13d ago Why do people like coding harnesses like opencode etc instead of an IDE? Just curious - I like to be able to see and manage the scripts my agent is working on. I find stuff like Claude Code and Open Code useful for doing stuff on my linux box but I don't understand why people would use that instead of a dedicated IDE where you can actually see the… 33 GitHub Blog — AI & ML official-blog 13d ago How canvases make agentic workflows visible, steerable, and cost-efficient Chat is great for intent, but agent work gets lost in the scroll. Here is how I use canvases with my agentic workflows—and why your workflow also deserves a canvas. The post How canvases make agentic workflows visible, steerable, and cost-efficient appeared first on The GitHub… 17 r/LocalLLaMA community 13d ago Deepseek Harnness - why is feels better Guys, could someone smarter than me explain what makes Deepseek Harness so efficient? I run it with local Qwen 3.8 (Q6). I tried Opencode/Openchamber (my favourite so far), Pi agent and Hermes. New Qwen seems to overthing by default but this could be minimized with some effort.… 16 r/LocalLLaMA community 13d ago After pushing 1M+ tokens through Qwen 3.8 27B, here is my optimal llama.cpp config for 16GB VRAM (73k Context, Agentic Coding) Following up on my previous post about my budget server setup (Intel N100 + RTX 5060 Ti 16GB), a few of you asked for a deeper dive into my actual inference config and real-world agentic performance. Like many of you, I was refreshing the page waiting to download Qwen 3.8 27B… 31 Hugging Face Daily Papers research 13d ago Agents Catching Agents: Shortcut Cascades and Benchmark Gaming in Clinical Multi-Agent Systems Abstract Multi-agent clinical committees are vulnerable to socially plausible shortcuts rather than isolated cues, and only independent referee oversight reliably detects adoption. Generated by thinkingmachines/Inkling-Small Clinical decision support is moving toward committees… 35 Hugging Face Daily Papers research 13d ago Second Thought: Reasoning in Parallel as LLM Agents Act and Observe Abstract Second Thought is a training-free framework that runs auxiliary reasoning branches in parallel during agent action-observation waits to reduce sequential decoding and turn counts without harming accuracy. Generated by thinkingmachines/Inkling-Small LLM agents in the… 35 Hugging Face Daily Papers research 13d ago Latent On-Policy Self-Distillation Abstract Latent On-Policy Self-Distillation learns privileged teaching context end-to-end from experience to provide dense token-level supervision, improving agent performance and efficiency. Generated by thinkingmachines/Inkling-Small Enabling agents to learn from experience… 10 arXiv — Machine Learning research 13d ago From BERT to Frontier Agents: Eight Years of Language-Model Progress, the Collapse of the Capability-Cost Curve, and the Rise of Task-Targeted Models arXiv:2608.13675v1 Announce Type: new Abstract: Between October 2018 and July 2026 AI models progressed from simple systems like BERT to massive agents that solve complex math and write software. The ability to resolve real coding issues improved by nearly six times per year… 32 arXiv — Machine Learning research 13d ago AutoSchema: Live Schema Grounding for Agentic Text-to-Sparql over Heterogeneous Knowledge Graphs arXiv:2608.14228v1 Announce Type: new Abstract: Life science knowledge graphs make large collections of structured data available through SPARQL, but each resource uses its own schema, identifiers, and links. TogoMCP helps language model agents query these resources by providing… 11 arXiv — Machine Learning research 13d ago Rollplex: Cross-Phase GPU Spatial Sharing for Vision Language Model Post-Training arXiv:2608.14498v1 Announce Type: new Abstract: Vision-language models (VLMs) enable embodied agents to reason and act from visual observations and language instructions. Reinforcement learning (RL) post-training enhances these capabilities using task feedback, but current… 8 arXiv — Machine Learning research 13d ago From Prediction to Intervention: Personalized Meal-Level Glucose Regulation via an LLM Agent arXiv:2608.13581v1 Announce Type: cross Abstract: Personalized glucose regulation remains a central yet unresolved challenge in precision nutrition, as postprandial glucose response varies substantially across individuals. Existing approaches based on glycemic indices fail to… 16 arXiv — Machine Learning research 13d ago Continual Evolution Strategies in Control Tasks arXiv:2608.13600v1 Announce Type: cross Abstract: We study Evolution Strategies (ES) for continual control, where agents must adapt to changing tasks without forgetting previous ones. On sequential MuJoCo locomotion tasks, naive ES suffers from severe catastrophic forgetting.… 33 arXiv — NLP / Computation & Language research 13d ago MobileMem: Learning from a Year of Mobile Experiences arXiv:2608.13606v1 Announce Type: cross Abstract: The next generation of AI agents is increasingly moving beyond systems that answer isolated questions toward persistent personal assistants that can understand, remember, and continuously learn from users' experiences. Such… 22 arXiv — Machine Learning research 13d ago Evaluating Agentic Learning Harness Capabilities Without Labels via the Scaling Hypothesis arXiv:2608.13608v1 Announce Type: cross Abstract: Agentic "Continual Learning Harnesses", systems that pair an LLM with retrieval or memory to improve from feedback without retraining, have shown growing value in cybersecurity. But their value is conventionally measured by gains… 10 arXiv — Machine Learning research 13d ago Adjacency-Based Spectral Proxy Control of Mobile Communication Agents arXiv:2608.13616v1 Announce Type: cross Abstract: We consider a heterogeneous mobile-agent network composed of uncontrolled task agents and controllable communication agents. The objective is to reposition communication agents online as task agents move. Since throughput-based… 24 arXiv — NLP / Computation & Language research 13d ago From Passive Delegates to Strategic Negotiators: Reinforcing Social Reasoning in Small Language Models with SocialRL arXiv:2608.13787v1 Announce Type: cross Abstract: AI agents increasingly act on their users' behalf, handling tasks such as scheduling meetings, comparing offers, and haggling over prices. These principal-driven tasks routinely place the agent across from a counterpart (another… 15 arXiv — NLP / Computation & Language research 13d ago Does a Language Server Save Tokens for Coding Agents? A Measurement Methodology and Preliminary Study arXiv:2608.13568v1 Announce Type: new Abstract: Coding agents spend most of their context budget on retrieval. Lexical retrieval (grep) is universal, instant, and zero-setup, but noisy: it cannot tell a definition from a call from a comment. Semantic retrieval via the Language… 20 arXiv — NLP / Computation & Language research 13d ago Not All Tokens Are Equal: Inflation-Aware Routing for Agentic LLM Systems arXiv:2608.13571v1 Announce Type: new Abstract: When a language model fails to answer a query on the first attempt, an agentic system retries, consuming additional tokens each time. This retry overhead creates a gap between what a model's per-token price implies and what a full… 13 arXiv — NLP / Computation & Language research 13d ago CLAIR-Fin: An Adversarial Multi-Agent Framework for Claim-Level Verification and Adaptive Debate in Cross-Modal Financial QA arXiv:2608.13706v1 Announce Type: new Abstract: Existing defenses against hallucination in retrieval-augmented and multi-agent pipelines remain partial: evidence is trusted despite modality disagreement, debate verifies an aggregate report rather than individual claims, and such… 8 arXiv — NLP / Computation & Language research 13d ago Repair, Not Improvement: Decomposing Constrained Decoding in Tool-Call Abstention arXiv:2608.13959v1 Announce Type: new Abstract: Function calling is what the recent accounting of constrained generation explicitly sets aside: it finds the decoder's contribution small for format constraints, then warns in its Section 7 against extrapolating where a constraint… 26 arXiv — NLP / Computation & Language research 13d ago HERMES: a multi-agent framework for structured knowledge extraction from ultra-long documents in geoscience arXiv:2608.14055v1 Announce Type: new Abstract: Authoritative scientific knowledge in geoscience remains largely trapped in legacy monographs and historical literature, where unstructured text and complex layouts hinder computational access. We introduce HERMES, a scalable… 11 arXiv — NLP / Computation & Language research 13d ago Envs-FORGE: Frontier-Optimized Reward-Grounded Environment Synthesis for Agent RL arXiv:2608.14312v1 Announce Type: new Abstract: Reinforcement learning (RL) for terminal agents needs executable training environments with reliable rewards and useful difficulty. Fixed recipes such as few-shot, Self-Instruct, and Evol-Instruct apply the same prompting policy to… 35 arXiv — NLP / Computation & Language research 13d ago Cross-Disciplinary Taxonomy and Modeling of Misunderstanding Generation, Amplification, and Detection, from Pragmatics to AI Agents arXiv:2608.13604v1 Announce Type: cross Abstract: Detection of misunderstanding is an urgent problem to solve because communication has moved away from real-time, in-person interaction and is increasingly handled by AI-mediated channels. This shift cuts communicators off from… 25 arXiv — NLP / Computation & Language research 13d ago ARC: Fair Relative Advantage Comparison in Open-Ended Real-World Interaction arXiv:2608.13622v1 Announce Type: cross Abstract: Open-ended real-world interaction admits multiple valid behaviors: an agent may answer directly, ask for clarification, provide progress updates, or confirm before acting. This flexibility breaks a core assumption behind… 31 arXiv — NLP / Computation & Language research 13d ago VoiceChat-TTS: A Low-Latency Continuous Speech Synthesis Model for Interactive Agents arXiv:2608.13831v1 Announce Type: cross Abstract: Spoken dialogue is a natural form of human--computer interaction, yet most speech language models remain limited to turn-based operation and lack real-time adaptability, such as user barge-in. Recent duplex speech-to-speech and… 30 arXiv — NLP / Computation & Language research 13d ago Agentic Transaction: Towards ACID-Compliant Agent Systems arXiv:2608.13900v1 Announce Type: cross Abstract: Large language model (LLM) agents are evolving from conversational assistants into autonomous systems that execute long-horizon tasks through reasoning, tool use, code generation, and workspace manipulation. As agents… 20 arXiv — NLP / Computation & Language research 13d ago Decoding Student Minds: Leveraging Conversational Agents for Psychological and Learning Analysis arXiv:2512.10441v2 Announce Type: replace Abstract: This paper presents a psychologically-aware conversational agent designed to enhance both learning performance and emotional well-being in educational settings. The system combines Large Language Models (LLMs), a knowledge… 38 arXiv — NLP / Computation & Language research 13d ago Adaptive Stopping for Multi-Turn LLM Reasoning arXiv:2604.01413v3 Announce Type: replace Abstract: Large Language Models (LLMs) increasingly rely on multi-turn reasoning and interaction, such as adaptive retrieval-augmented generation (RAG) and ReAct-style agents, to answer difficult questions. These methods improve accuracy… 35 arXiv — NLP / Computation & Language research 13d ago Agentic Aggregation for Parallel Scaling of Long-Horizon Agentic Tasks arXiv:2604.11753v3 Announce Type: replace Abstract: We study parallel test-time scaling for long-horizon agentic tasks such as agentic search and deep research, where multiple rollouts are generated in parallel and aggregated into a final response. While such scaling has proven… 6 arXiv — NLP / Computation & Language research 13d ago Can AI Agents Simulate A/B Test Outcomes? A Validation Framework for Agentic Experimentation arXiv:2608.02345v2 Announce Type: replace Abstract: A/B testing remains the standard for rolling out new features in the technology industry. Each experiment, however, consumes real traffic, engineering effort, and weeks of wall-clock time. Can AI agents---conditioned on… 11 arXiv — NLP / Computation & Language research 13d ago GRASP: Gated Regression-Aware Skill Proposer for Self-Improving LLM Agents arXiv:2605.29668v2 Announce Type: replace-cross Abstract: LLM agents acting in structured environments fail in operational rather than conversational ways, and reliability depends on procedural knowledge of the environment. Prior self-improvement methods accumulate… 5 Hugging Face Daily Papers research 13d ago Beyond Final Scores: A Systematic Evaluation of Agents for Long-Horizon AI Research and Development Abstract Frontier autonomous agents excel at engineering optimization but show unstable performance, limited novelty, and variable experience reuse across long-horizon tasks. Generated by thinkingmachines/Inkling-Small Autonomous agents are increasingly capable of improving… 14 r/LocalLLaMA community 14d ago Qwen 3.8 27b with DSH(DeepSeek Harness) is Amazing!! Experiences so far and perfomance. https://preview.redd.it/wkg27e152qjh1.png?width=853&format=png&auto=webp&s=2e3f8b11ea6393041f501e95c5835f9bea0245dd So ive been trying different harnesses and coding agents with the new qwen 3.8 , and after trying out many ive been mostly impressed by deekseek harness , paired… 33 r/LocalLLaMA community 14d ago Qwen3.8-27B vs Qwen3.6-27B writing ray-tracers in BASIC one of my llm hobbies is re-creating graphics demos i used to write in BASIC in the late 1980s. i slopped together an agentic harness and a basic-to-js transpiler in a web page i've been playing with for a few months. the agent can write basic programs, run them, examine the… 21 r/LocalLLaMA community 14d ago Agentic harness for small models Hello; I'm a semi-beginner at local AI. I've been experimenting with this tech for a while, and I still haven't found a proper harness that fits my models, hardware, and needs. My use case is pretty simple: web search, fetching, and browser use. Summarizing websites and having… 29 Latent.Space news-outlet 15d ago React for Agents: Astro Creator Brings Hooks to his Meta-Harness, Flue Flue 2 takes its inspiration from React. Creator Fred Schott, of Astro fame, tells Latent Space why he added hooks and why agents are defined by their harnesses. 27 r/LocalLLaMA community 15d ago GitHub - meta-models/meta-oss-cookbook: All recipes for oss models from Meta Inc. Muse Glimmer Cookbook Clone it, run it on the GPU you already own, and ship a working agent — one that plans, calls tools, and self-corrects — in a single sitting, fully offline. Muse Glimmer is an open-weight model built for local agentic work on a single GPU. This cookbook is… 24 r/LocalLLaMA community 15d ago Qwen 3.8 - 27B is a game changer So a bit of context, I am a cybersecurity senior analyst I am interested in LLMs for that field especially with MCPs to connect them to the tools or for writing scripts I started this field by doing assembly language reading for hacking games when I was a teenager then that… 4 OpenAI Python SDK releases dev-tools 15d ago v3.1.0 3.1.0 (2026-08-14) Features api: add WebSocket stream IDs ( #3612 ) ( d9029e3 ) api: add workload identity access token issued event ( #3601 ) ( df274d4 ) api: deprecate Sora video APIs ( #3610 ) ( 721cb1c ) api: Ultrafast tier, structured MCP and websocket errors, separate… 19 Ollama releases dev-tools 15d ago v0.32.13: qwen3.8: support developer instructions (#17749) qwen3.8: support developer instructions Qwen3.8 does not define a developer role, while OpenAI-compatible coding agents commonly send developer instructions before user messages. Fold the leading system/developer instruction prefix into a single system turn before Qwen3.8… 35 r/LocalLLaMA community 15d ago Qwen 3.8 27B - Aquarium Burst Sample Test Tested this prompt on the full version (BF16). Though this was a single prompt, I executed using vscode GH copilot extension on agent (allow all) mode and let it do its thing. So there were 54 model turns. Copilot kept iterating and reviewing the functionality (using playwright)… 19 GitHub Blog — AI & ML official-blog 16d ago How to bring your software delivery workflow into GitHub with agent apps See how four GitHub Agent Apps can help you scope, secure, roll out, and ship a feature across the SDLC–all without leaving GitHub. The post How to bring your software delivery workflow into GitHub with agent apps appeared first on The GitHub Blog . 38 TechCrunch — AI news-outlet 16d ago Kog is going deeper to squeeze more inference out of GPUs The idea that GPUs are poorly suited for agentic workflows may be a misconception, according to French startup Kog. 9 r/MachineLearning community 16d ago For the people who got reviews back from neurips, cvpr, eccv, etc and also tested their paper through an agentic reviewer like the stanford one, how different were the reviews? [D] Hello, I was curious about the differences you can get from the human reviewers and the llms. Any insight is welcome, thank you!   submitted by   /u/obliviousphoenix2003 [link]   [comments] 38 Hugging Face Daily Papers research 16d ago OmniScientist: An Omni-Modal Omni-Discipline AI Scientist Abstract OmniScientist is an end-to-end omni-modal AI scientist that performs multidisciplinary research directly from heterogeneous raw evidence using autonomous agents and lifecycle-wide perception, improving evidence-grounded discovery across diverse scientific modalities.… 23 Hugging Face Daily Papers research 16d ago Intern-S2-Preview: Scientific Agentic Foundation Model Abstract Intern-S2-Preview is a scientific agentic foundation model series that integrates multimodal pre-training, multi-task reinforcement learning, and memory-augmented extensions to support long-horizon scientific reasoning and forecasting. Generated by… 33 Hugging Face Daily Papers research 16d ago Specification-first convergence with an AI coding agent: a case study of dismantling a core architectural invariant across 189 files in a 717k-line codebase with no test oracle and no human code review Abstract This paper reports a single, fully instrumented case study of a large-scale architectural refactoring by an AI coding agent under a specification-first protocol, with no human review of the generated code and no pre-existing oracle to validate the target behaviour. The… 6 r/LocalLLaMA community 16d ago LFM 2.5 2.6B is the best small model for tool use I have ever used. I'm working on a local perplexity/AI search comprised of a custom harness and a further trained model. LFM 2.6 is almost to spec with no additional training, it is very good.   submitted by   /u/thebadslime [link]   [comments] 13 Page 8 of 10 · 500 articles ← Newer Older →
