News / #agents Tag Agents + tool use 500 articles archived under #agents · RSS Sign in to follow r/LocalLLaMA community 8d ago Agent memory layers don't need an LLM deciding what to remember Most agent memory setups run a model call on the way in. Something reads the turn, decides whether it's worth keeping, rewrites it into a "memory", tags it with a type and an importance score. That's a second inference pass on every interaction and I think it's the wrong place… 26 TechCrunch — AI news-outlet 8d ago Hark previews its browser use agent for completing tasks Hark claims that its browser use agent is faster and cheaper than competition. 9 r/LocalLLaMA community 8d ago Ling-3.0-flash MXFP4 released and running locally on one DGX Spark. In tests: ~80 tok/s decoding 2,500–3,500 tok/s long-input prefilling Smooth use by 3–4 concurrent users Private, on-device inference for coding, agents, and offline batch jobs   submitted by   /u/niacolhealth [link]   [comments] 30 r/LocalLLaMA community 8d ago LFM2.5-2.6B on a OnePlus 13 at 17 tok/s ~ Pure CPU As you all know the model is 2.69B parameters with a 128K context window and purpose-built for multi-step agent workflows. What you are seeing is the Q4_K_M GGUF running on my own inference engine built from scratch. The TUI is my own device probe suite running through ADB… 27 Hacker News — AI on Front Page community 8d ago Cloudflare OS: an open platform for agents, apps, and work Article URL: https://blog.cloudflare.com/cloudflare-os/ Comments URL: https://news.ycombinator.com/item?id=49182996 Points: 218 # Comments: 118 37 Hugging Face Daily Papers research 9d ago PAST-Bench: Benchmarking the Foundations of Recursive Self-Improvement in Personal Agents Abstract Recursive self-improvement requires agents to turn accumulated experience into better future behavior. Personal AI agents offer a concrete setting for studying this capability because they retain preferences, task histories, tool routines, and learned skills across… 6 Hugging Face Daily Papers research 9d ago ContinualSkillBench: Can LLM Agents Truly Evolve Their Capabilities? Abstract Modern agent frameworks equip large language models with external skill libraries to solve complex tasks. However, it remains unclear whether these systems can effectively evolve their skills and whether the resulting skills improve task-solving capabilities. To bridge… 8 Hugging Face Daily Papers research 9d ago When Agents Learn to Be You: Benchmarking Privacy Leakage, Impersonation Risk, and Defenses in Persona Skills Abstract Persona skills distill personal interaction histories into portable and executable artifacts for downstream agents. While enabling flexible personalization, this process concentrates fragmented personal signals, amplifies their impact through reuse, and challenges… 29 Hugging Face Daily Papers research 9d ago Video-DeepResearch: Towards the Next-Generation Multimodal Deepresearch Agent Abstract We introduce Video-DeepResearch (Video-DR), extending multimodal agents from static images to continuous video streams, a setting that demands dense spatiotemporal grounding coupled with open-web exploration. Preliminary evaluations reveal two critical bottlenecks in… 8 Hugging Face Daily Papers research 9d ago Quo Vadis, World Modeling? Abstract Continually improving agents require dynamic interaction feedback beyond static supervision, yet direct real-environment interaction is costly, slow, unsafe, and hard to parallelize. World modeling offers a natural intermediate proxy that allows agents to query… 19 arXiv — Machine Learning research 9d ago Agentic Reinforcement Learning with Self-Distilled Reward Shaping arXiv:2608.03223v1 Announce Type: new Abstract: Agentic reinforcement learning enables LLM agents to learn through interaction, but sparse trajectory-level rewards reveal success without identifying which intermediate decisions deserve credit. Training-only privileged skills can… 28 arXiv — Machine Learning research 9d ago Resume Means Resume: A Machine-Checked Conformance Contract for Checkpoint, Interrupt, and Resume Semantics in Workflow Persistence Layers arXiv:2608.03836v1 Announce Type: new Abstract: A framework that persists execution state so a run can be interrupted, survive a crash, and continue must decide what a resume means for effects that already fired. Five widely deployed agent workflow frameworks answer differently,… 28 arXiv — NLP / Computation & Language research 9d ago MemArena: An Ego-Centric Benchmark for On-Device Agentic Personal Memory Assistants at Scale arXiv:2608.02613v1 Announce Type: new Abstract: Edge-deployed personal memory assistants must handle private interpersonal conversations on-device with open-weight models. Yet, existing memory benchmarks often under-test the combination of activity-dense interaction, ego-centric… 15 arXiv — NLP / Computation & Language research 9d ago Crayotter: Learning Long-Horizon Video Editing Agents via Group-Relative Preference Backpropagation arXiv:2608.02694v1 Announce Type: new Abstract: Long-horizon video editing agents receive final-product feedback only after many interdependent decisions. Yet editing quality is subjective, admits multiple valid solutions, and is not meaningfully calibrated across heterogeneous… 21 arXiv — NLP / Computation & Language research 9d ago What Language Does and What the Evidence Supports: A Functional Role Taxonomy and Evidence Audit of Language Grounding in Embodied Agents arXiv:2608.03099v1 Announce Type: new Abstract: Foundation models place language throughout embodied agents, but its presence does not show what it contributes or how well that contribution is grounded. This survey separates these two questions. We define five non-exclusive… 10 arXiv — NLP / Computation & Language research 9d ago ANCHOR-RE: An Agentic Neuro-Symbolic Framework for Grounded Biomedical Relation Extraction arXiv:2608.03154v1 Announce Type: new Abstract: Biomedical relation extraction (BioRE) extracts structured knowledge from biomedical literature for applications such as knowledge base construction and hypothesis generation. Traditional symbolic systems such as SemRep provide… 6 arXiv — NLP / Computation & Language research 9d ago Relational Priors as Convergence Pressure in LLM-Based Multi-Agent Systems arXiv:2608.03239v1 Announce Type: new Abstract: Large language model-based multi-agent systems (LLM-MAS) are designed through roles, debate protocols, and aggregation rules. These choices create implicit social expectations: agents may be expected to trust, challenge, defer to,… 30 arXiv — NLP / Computation & Language research 9d ago PAST-Bench: Benchmarking the Foundations of Recursive Self-Improvement in Personal Agents arXiv:2608.04003v1 Announce Type: new Abstract: Recursive self-improvement requires agents to turn accumulated experience into better future behavior. Personal AI agents offer a concrete setting for studying this capability because they retain preferences, task histories, tool… 36 arXiv — NLP / Computation & Language research 9d ago SocietyBench: Forecasting Counterfactual Social-World Evolution arXiv:2608.04009v1 Announce Type: new Abstract: Large language models (LLMs), and the agents built on top of them, are now benchmarked heavily on whether they can finish a task -- fix a bug, drive a browser, operate a GUI. A complementary social ability, namely how well a model… 11 arXiv — NLP / Computation & Language research 9d ago Search, Inspect, Fetch: Exploiting Boolean Retrieval for Deep-Research Agents arXiv:2608.02751v1 Announce Type: cross Abstract: Existing deep-research agents use a search-visit workflow that retrieves and reads whole pages, without considering the addressable structure that web sources expose through titles, headings, sections, and metadata. This prevents… 37 arXiv — NLP / Computation & Language research 9d ago LACE: Large Language Model Aided Multi-Agent Framework for Agile RISC-V Instruction Extension arXiv:2608.02915v1 Announce Type: cross Abstract: Domain-specific Instruction Set Architecture eXtensions (ISAX) are widely adopted in the RISC-V ecosystem to accelerate emerging workloads, but implementing and validating ISAXes across different cores remains slow and… 32 Hugging Face Daily Papers research 9d ago ExplainBench: Evaluating Code Explanations from Agents Abstract Large Language Model (LLM) agents have seen rapid adoption in software engineering. As agents take a greater role in the actual generation of code, they are making larger changes, spanning tens to hundreds of lines. This makes manual review of agent results increasingly… 30 Hugging Face Daily Papers research 9d ago PCSD: Persistent Consistency for Self-Distillation in Agentic Reinforcement Learning Abstract Large language model agents have shown strong potential in complex interactive tasks, yet their reinforcement learning (RL) is often hindered by sparse rewards, as a long multi-turn trajectory may receive only a single outcome-level signal. On-policy self-distillation… 24 Hugging Face Daily Papers research 9d ago SkillJack: Persistent Skill Backdoors in Self-Evolving Agents Abstract Self-evolving agents increasingly convert interaction histories into reusable skills that persist beyond individual tasks. While prior work studies memory and retrieval poisoning, such attacks only affect agents when poisoned records are retrieved as context. We uncover… 28 Zed Editor dev-tools 9d ago Sandboxing Zed supports sandboxing to restrict what agents can do while using the terminal and fetch tools. 20 Vercel — AI dev-tools 9d ago Vercel Sandbox now supports Devin Outposts Vercel Sandbox now supports Devin Outposts . Each Devin session executes in its own isolated Sandbox microVM, with no local Outpost worker to keep online. The Devin control plane stays with Cognition, where the agent loop handles inference and planning. Session orchestration and… 23 Simon Willison community 9d ago llm-anthropic 0.26 Release: llm-anthropic 0.26 Includes new features enabled by LLM 0.32 : New models: claude-fable-5 , claude-sonnet-5 , and claude-opus-5 . #75 , #76 Added server-side tools for WebSearch , WebFetch , CodeExecution , and AnthropicMCP , available through LLM's -T interface or… 6 Simon Willison community 9d ago llm-anthropic 0.26 Release: llm-anthropic 0.26 Includes new features enabled by LLM 0.32 : New models: claude-fable-5 , claude-sonnet-5 , and claude-opus-5 . #75 , #76 Added server-side tools for WebSearch , WebFetch , CodeExecution , and AnthropicMCP , available through LLM's -T interface or… 24 r/LocalLLaMA community 9d ago A 2.6B model with tool calling and 128K context now runs at 30 tok/s on a phone Liquid AI released LFM2.5-2.6B today, and this might be more relevant to local AI than another massive model most people cannot run. The model is only 2.69B parameters, has 128K context, supports tool calling and was post-trained specifically for multi-step agent workflows. The… 23 TechCrunch — AI news-outlet 9d ago Nvidia doesn’t mess around: A week after open AI industry group formed, it’s already showing progress The week-old Open Secure AI Alliance, spearheaded by Nvidia and grown to over 120 companies, already has proposals out for defending against AI agents. 5 llama.cpp releases dev-tools 9d ago b10271 ui: CWD for agent ( #26518 ) server : extend file_glob_search for UI pickers ui : add per-conversation working directory with picker ui : add path navigation and search scope to cwd picker Treat path-like queries (starting with / or ~) as directory navigation instead of… 15 Latent.Space news-outlet 9d ago Unpacking ChatGPT Work: the Agent for a Billion Users An external reconstruction of how Memory, Proactivity, Scheduling, Browser Use, Plugins, Skills and Tools work in the new ChatGPT Work. 31 r/LocalLLaMA community 9d ago LFM2.5-2.6B is out Released today, with emphasis on agentic capabilities. I really like their models for simple, high volume tasks ("summarize these gazillion documents") and their 8b-a1b was my go-to for certain tasks so I'm excited to see how this one performs. There's not enough love for tiny… 18 r/LocalLLaMA community 9d ago Deepseek V4 flash 0731 ranks #21 on Agent Arena https://preview.redd.it/522fsdwvtdhh1.png?width=1200&format=png&auto=webp&s=6a6cf7a467514167a8193029dbd20fb3a9ba4f6c It ranks lower than both Sonnet 4.6 and Luna. I'd wager Luna costs in the same ballpark as DS4F considering Luna’s token efficiency. DeepSeek being open source is… 30 Hugging Face Daily Papers research 9d ago Zero-Mem: Zero-Token Memory Operations for LLM Agents Abstract LLM agents need memory to act consistently over long interactions, yet many systems use additional LLM calls to operate that memory. Generating intermediate records and mediating their retrieval adds recurring token and time costs, while omitted or merged details can… 21 r/LocalLLaMA community 9d ago [Deepseek-V4-Flash-0731] Full 1M context on a single RTX5090 + DDR5 Desktop Setup with VLLM CPU/Ram Offloading, ~800 tps pp & 15+ tps decode [Agentic Coding] First of all, obviously I took some help from AI to type this post and this is the topic that enabled me to accomplish all that: https://old.reddit.com/r/LocalLLaMA/comments/1veow4b/deepseek_v4flash_284b_moe_at_33_toks_single_68/ This post of mine is based on the link above. My… 11 Hugging Face official-blog 9d ago Deploy local agents everywhere with LFM2.5-2.6B Back to Articles a]:hidden"> Deploy local agents everywhere with LFM2.5-2.6B Team Article Published August 4, 2026 Upvote 1 Leonie Monigatti iamleonie LiquidAI Sergei Tilga tilgasergey LiquidAI Sinoué GAD GAD-cell LiquidAI Song Duong sduong LiquidAI Tim Seyde tseyde LiquidAI… 8 Hugging Face Daily Papers research 10d ago Compute Globally, Materialize Locally: The Memory Contract of Sparse Event-KV Abstract Long-horizon agents increasingly reuse their KV cache as memory: a serving system keeps a subset of cached entries and drops the rest. Eviction and episodic-memory schemes therefore rest on a premise rarely tested directly, that a retained event is still informative… 14 Hugging Face Daily Papers research 10d ago MerchantBench: Benchmarking LLM Agents for Long-Term Coherence in E-Commerce Operations Abstract Large language model agents are increasingly evaluated as autonomous tool users, yet most benchmarks focus on bounded tasks with immediate success criteria. Real-world deployments often require Long-Term Coherence, the capacity to preserve purposeful behavior across… 13 Hugging Face Daily Papers research 10d ago Model or Harness? An Interaction-Centric Taxonomy for Localizing Agent Failures Abstract Existing evaluations often reduce agent failures to system-level outcomes, obscuring where the fault originated and which intervention would improve the agent system. This creates a repair-assignment problem: the same visible failure may call for model post-training,… 38 Hugging Face Daily Papers research 10d ago RecHarness: A Bandit-Routed Agentic Harness for Self-Evolving Recommender Systems Abstract Optimizing modern recommender models still depends heavily on engineers manually iterating over architectural, objective, and training-strategy changes. While LLM-based agents can automate this trial-and-error process, allowing the LLM to both select modification… 37 Hugging Face Daily Papers research 10d ago DeepVoyager-VL: Incentivizing Vision-in-the-Loop Search for Long-Horizon Multimodal Agents Abstract Multimodal large language models (MLLMs) have advanced visual understanding and reasoning, yet their static parametric knowledge limits their ability to address knowledge-intensive and dynamically evolving open-world problems. To move beyond this limitation, multimodal… 24 r/LocalLLaMA community 10d ago Is LM Studio abandoning their core product? Some of you may be aware that a few weeks ago, LM Studio announced a new agent, Bionic. This is pretty much an agentic harness for both local models and paid cloud models. But most aren't aware that LM Studio replaced almost every link to the original app that built their brand… 7 Hugging Face Daily Papers research 10d ago LongHorizon-Harness: Advancing Long-Horizon Agents for Real-World Tasks Abstract Large language model (LLM) agents increasingly undertake long-horizon tasks that require sustained reasoning, tool use, and revision across many interdependent steps. However, existing agent harnesses maintain task execution, task state, and completion assessment within… 37 Smol AI News news-outlet 10d ago not much happened today **Alibaba** launched **Qwen3.8-Max**, enhancing multimodal capabilities and agent ecosystem integration. **NVIDIA** introduced **Alpamayo 2 Super** for autonomous vehicle reasoning, while **Mistral AI** released **Shieldstral**, a 3B parameter open-weights safety model for… 17 Hugging Face Daily Papers research 10d ago Progressive Agent Skill Generation via Reinforcement Learning Abstract Existing skill generation methods largely rely on heuristics or pipeline-style consolidation, which must be specially designed for different evidence sources. In contrast, learning-based approaches offer a more unified way to model skill generation across heterogeneous… 24 arXiv — Machine Learning research 10d ago Learning Compositional Meta-Routing for Agentic Workflows: An Executable Benchmark arXiv:2608.00106v1 Announce Type: new Abstract: Agentic systems must decide not only what answer to produce, but which reasoning and execution operations should precede it. A controller may answer directly, decompose a request, retrieve evidence, execute code, delegate to a… 17 arXiv — Machine Learning research 10d ago MetaRoute-Bench: Evaluating Meta-Decision Policies for Agentic Workflow Routing arXiv:2608.00107v1 Announce Type: new Abstract: Agentic systems must repeatedly decide whether to answer directly, decompose a task, invoke a tool, execute code, delegate to a specialist, verify an intermediate result, or recover from failure. These meta-decisions affect not… 28 arXiv — Machine Learning research 10d ago Inference-Time Policy Alignment for Fair Reinforcement Learning arXiv:2608.00175v1 Announce Type: new Abstract: Deep reinforcement learning (RL) agents achieve strong performance by optimizing scalar reward functions. However, once deployed, the policies of these RL agents are often rigid and costly to adapt to new performance criteria. For… 22 arXiv — Machine Learning research 10d ago Abstention as an Action Can Kill Both the Reward Gradient and the KL Anchor: Collapse Law and Repair for Error-Penalized Reinforcement Learning arXiv:2608.00301v1 Announce Type: new Abstract: Error-penalized scoring rules ($+1$ for a correct answer, $-\lambda$ for a wrong one, $0$ for abstaining) are increasingly prescribed against hallucination: a rational agent facing such a rule answers exactly when its correctness… 37 Page 7 of 10 · 500 articles ← Newer Older →
