{"id":135715,"date":"2026-05-13T13:00:10","date_gmt":"2026-05-13T13:00:10","guid":{"rendered":"https:\/\/blogs.nvidia.com\/?p=92941"},"modified":"2026-05-13T13:00:10","modified_gmt":"2026-05-13T13:00:10","slug":"hermes-unlocks-self-improving-ai-agents-powered-by-nvidia-rtx-pcs-and-dgx-spark-2","status":"publish","type":"post","link":"http:\/\/webdomino.net\/index.php\/nvidia\/hermes-unlocks-self-improving-ai-agents-powered-by-nvidia-rtx-pcs-and-dgx-spark-2\/","title":{"rendered":"Hermes Unlocks Self-Improving AI Agents, Powered by NVIDIA RTX PCs and DGX Spark"},"content":{"rendered":"<div id=\"bsf_rt_marker\"><\/div><p><span style=\"font-weight: 400;\">Agentic AI is changing the way users get work done. Following the success of <\/span><a  href=\"https:\/\/www.nvidia.com\/en-us\/ai\/build-a-claw\/\"><span style=\"font-weight: 400;\">OpenClaw<\/span><\/a><span style=\"font-weight: 400;\">, the community is embracing new open source agentic frameworks. The latest is <\/span><a  href=\"https:\/\/github.com\/nousresearch\/hermes-agent\"><span style=\"font-weight: 400;\">Hermes Agent<\/span><\/a><span style=\"font-weight: 400;\">, which crossed <\/span><a  href=\"https:\/\/github.com\/nousresearch\/hermes-agent\"><span style=\"font-weight: 400;\">140,000 GitHub stars<\/span><\/a><span style=\"font-weight: 400;\"> in under three months and, as of last week, is the most used agent in the world according to <\/span><a  href=\"https:\/\/openrouter.ai\/apps\"><span style=\"font-weight: 400;\">OpenRouter<\/span><\/a><span style=\"font-weight: 400;\">.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Developed by Nous Research, Hermes is designed for reliability and self-improvement \u2014 two qualities that have historically been hard to achieve with agents. It\u2019s provider- and model-agnostic by design, and optimized for always-on local use, making <\/span><a  href=\"https:\/\/www.nvidia.com\/en-us\/ai-on-rtx\/\"><span style=\"font-weight: 400;\">NVIDIA RTX PCs<\/span><\/a><span style=\"font-weight: 400;\">, <\/span><a  href=\"https:\/\/www.nvidia.com\/en-us\/products\/workstations\/\"><span style=\"font-weight: 400;\">NVIDIA RTX PRO workstations<\/span><\/a><span style=\"font-weight: 400;\"> and <\/span><a  href=\"https:\/\/www.nvidia.com\/en-us\/products\/workstations\/dgx-spark\/\"><span style=\"font-weight: 400;\">NVIDIA DGX Spark<\/span><\/a><span style=\"font-weight: 400;\"> the ideal hardware to run it at full speed, around the clock.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Qwen 3.6, a new series of high-performance, open weight large language models (LLMs) from Alibaba, are ideal for running local agents like Hermes. The Qwen 3.6 27B and 35B parameter models are outperforming their previous-generation 120B and 400B parameter model counterparts and run on NVIDIA RTX and DGX Spark for accelerated agentic AI.<\/span><\/p>\n<h2><b>Hermes: Local AI Agent Capabilities Accelerated<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">Like other popular agents, Hermes integrates with messaging apps, can access local files and applications, and runs 24\/7. But four standout capabilities set it apart:<\/span><\/p>\n<ul>\n<li><b>Self-Evolving Skills<\/b><span style=\"font-weight: 400;\">: Hermes writes and refines its own skills. Every time the agent encounters a complex task or receives feedback, it saves its learnings as a skill so it can adapt and improve over time.<\/span><\/li>\n<li><b>Contained Sub-Agents: <\/b><span style=\"font-weight: 400;\">Hermes treats sub-agents as short-lived, isolated workers dedicated to a sub-task \u2014 with a focused context and set of tools. This keeps task organization tidy, minimizes confusion for the agent and allows Hermes to run with smaller context windows, which is ideal for local models.<\/span><\/li>\n<li><b>Reliability by design: <\/b><span style=\"font-weight: 400;\">Nous Research curates and stress-tests every skill, tool and plug-in that ships with Hermes. The result: Hermes just works \u2014 even with 30 billion-parameter-class local models \u2014 without the constant debugging that most other agent frameworks require.<\/span><\/li>\n<li><b>Same model, better results:<\/b><span style=\"font-weight: 400;\"> Developer comparisons using identical models across frameworks consistently show stronger results in Hermes. The difference is the framework: Hermes is an active orchestration layer, not a thin wrapper, enabling persistent, on-device agents instead of task-by-task execution.<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Both the Hermes agent and the underlying LLM are built to run locally \u2014 which means the quality of hardware directly determines the quality of a user\u2019s experience. NVIDIA RTX GPUs are purpose-built for this kind of workload.<\/span><\/p>\n<h2><b>Qwen 3.6: Data Center-Level Intelligence, Locally<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">The latest Qwen 3.6 models build on the acclaimed Qwen 3.5 series to deliver another leap forward for local AI agents. The new Qwen 3.6 35B model runs on roughly 20GB of memory while surpassing 120 billion-parameter models, which require 70GB+ of memory.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">In addition, Qwen 3.6 27B is a new, dense model with more active parameters \u2014 matching the accuracy of 400 billion-parameter models like Qwen 3.5 397B while being one-sixteenth the size. Running on high-end RTX GPUs provides the model the computing power it needs for a speedy experience.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">These models are ideal for local agents like Hermes, and NVIDIA GPUs and DGX Spark are the fastest way to run them. <\/span><a  href=\"https:\/\/www.nvidia.com\/en-us\/data-center\/tensor-cores\/\"><span style=\"font-weight: 400;\">NVIDIA Tensor Cores<\/span><\/a><span style=\"font-weight: 400;\"> accelerate AI inference to deliver higher throughput and lower latency \u2014 so Hermes can work through a multistep task or refine one of its own skills in seconds rather than minutes.<\/span><\/p>\n<h2><b>DGX Spark: The Always-On Agentic Computer<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">Agents like Hermes are built to run continuously \u2014 responding to requests, planning multistep tasks, executing autonomously and self-improving. NVIDIA DGX Spark is the ideal companion \u2014 a compact, efficient standalone machine built for sustained, all-day agentic workflows.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">With 128GB of unified memory and 1 petaflop of AI performance, NVIDIA DGX Spark can run 120 billion-parameter mixture-of-experts models all day. And the new Qwen 3.6 35B model delivers equivalent intelligence in a leaner footprint \u2014 running faster and giving users the capacity to run concurrent workloads.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">To maximize performance and ease of use, read the <\/span><a  href=\"http:\/\/www.build.nvidia.com\/spark\"><span style=\"font-weight: 400;\">Hermes DGX Spark playbook<\/span><\/a><span style=\"font-weight: 400;\">. Plus, <\/span><a  href=\"https:\/\/www.nvidia.com\/en-us\/events\/build-it-yourself-agentic-ai\/\"><span style=\"font-weight: 400;\">register for upcoming hands-on sessions<\/span><\/a><span style=\"font-weight: 400;\"> in NVIDIA\u2019s \u201cBuild It Yourself\u201d agentic AI series to learn how to build autonomous AI agents with NemoClaw and OpenShell.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">NVIDIA DGX Spark is available to order from NVIDIA\u2019s manufacturing partners \u2014 <\/span><a  href=\"https:\/\/marketplace.nvidia.com\/en-us\/enterprise\/personal-ai-supercomputers\/?superchip=GB10&amp;page=1&amp;limit=15\"><span style=\"font-weight: 400;\">visit the marketplace<\/span><\/a><span style=\"font-weight: 400;\">.<\/span><\/p>\n<h2><b>Getting Started With Hermes on NVIDIA Hardware<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">Running Hermes locally on NVIDIA hardware is straightforward.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Visit the <\/span><a  href=\"https:\/\/github.com\/nousresearch\/hermes-agent\"><span style=\"font-weight: 400;\">Hermes GitHub repository<\/span><\/a><span style=\"font-weight: 400;\"> to get started, and pair it with a preferred local model and runtime. Run Hermes alongside Qwen 3.6 via <\/span><a  href=\"https:\/\/github.com\/ggml-org\/llama.cpp\"><span style=\"font-weight: 400;\">llama.cpp<\/span><\/a><span style=\"font-weight: 400;\">, <\/span><a  href=\"https:\/\/lmstudio.ai\/\"><span style=\"font-weight: 400;\">LM Studio<\/span><\/a><span style=\"font-weight: 400;\"> or <\/span><a  href=\"https:\/\/ollama.com\/\"><span style=\"font-weight: 400;\">Ollama<\/span><\/a><span style=\"font-weight: 400;\">. Hermes Agent ships with <\/span><a  href=\"https:\/\/lmstudio.ai\/docs\/integrations\/hermes\"><span style=\"font-weight: 400;\">LM Studio<\/span><\/a><span style=\"font-weight: 400;\"> and <\/span><a  href=\"https:\/\/docs.ollama.com\/integrations\/hermes\"><span style=\"font-weight: 400;\">Ollama<\/span><\/a><span style=\"font-weight: 400;\"> support out of the box for the simplest path to a local agent.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Whether for a local AI enthusiast exploring the frontier of personal agents or a developer building local tooling for their workflows, Hermes on NVIDIA hardware offers a uniquely capable and reliable foundation.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Stay tuned for more updates from RTX AI Garage on the latest open models and agents optimized for NVIDIA RTX hardware.<\/span><\/p>\n<h2><b>#ICYMI: The Latest From RTX AI Garage<\/b><\/h2>\n<p><span style=\"font-weight: 400;\"><img src=\"https:\/\/s.w.org\/images\/core\/emoji\/17.0.2\/72x72\/2728.png\" alt=\"\u2728\" class=\"wp-smiley\" style=\"height: 1em; max-height: 1em;\" \/> <\/span><b>NVIDIA RTX PRO GPUs <\/b><span style=\"font-weight: 400;\">deliver up to 3x faster token generation running Qwen 3.6 models with llama.cpp. Get the real-time responsiveness needed for local AI, where agents can tackle multistep tasks and refine their skills to keep workflows seamless.\u00a0<\/span><\/p>\n<p><b>Google\u2019s Gemma 4 26B and 31B models now available as NVFP4 checkpoints <\/b><span style=\"font-weight: 400;\">for even faster performance on NVIDIA Blackwell GPUs. Pair the NVFP4 checkpoints with Google\u2019s new Multi-Token Prediction drafters to get up to 3x faster inference at identical output quality, enabling frontier-class reasoning to run locally on NVIDIA GPUs.\u00a0<\/span><\/p>\n<p><b>Mistral Medium version 3.5<\/b><span style=\"font-weight: 400;\">, also released in April, includes compatibility updates with llama.cpp and Ollama, enabling users to run on NVIDIA RTX PRO and DGX Spark systems.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\"><img src=\"https:\/\/s.w.org\/images\/core\/emoji\/17.0.2\/72x72\/1f99e.png\" alt=\"\ud83e\udd9e\" class=\"wp-smiley\" style=\"height: 1em; max-height: 1em;\" \/> <\/span><b>NVIDIA recently introduced NVIDIA NemoClaw,<\/b><span style=\"font-weight: 400;\"> an open source stack that optimizes OpenClaw experiences on NVIDIA devices by increasing security and supporting local models. NemoClaw now supports Windows Subsystem for Linux (WSL2), bringing support to enthusiasts and developers on Microsoft\u2019s platform. Get started with NemoClaw on DGX Spark with this step-by-step <\/span><a  href=\"https:\/\/build.nvidia.com\/spark\/nemoclaw\"><span style=\"font-weight: 400;\">playbook<\/span><\/a><span style=\"font-weight: 400;\">.<\/span><\/p>\n<p><i><span style=\"font-weight: 400;\">Plug in to NVIDIA AI PC on <\/span><\/i><a  href=\"https:\/\/www.facebook.com\/NVIDIA.AI.PC\/\"><i><span style=\"font-weight: 400;\">Facebook<\/span><\/i><\/a><i><span style=\"font-weight: 400;\">, <\/span><\/i><a  href=\"https:\/\/www.instagram.com\/nvidia.ai.pc\/\"><i><span style=\"font-weight: 400;\">Instagram<\/span><\/i><\/a><i><span style=\"font-weight: 400;\">, <\/span><\/i><a  href=\"https:\/\/www.tiktok.com\/@nvidia_ai_pc\"><i><span style=\"font-weight: 400;\">TikTok<\/span><\/i><\/a><i><span style=\"font-weight: 400;\"> and <\/span><\/i><a  href=\"https:\/\/x.com\/NVIDIA_AI_PC\"><i><span style=\"font-weight: 400;\">X<\/span><\/i><\/a><i><span style=\"font-weight: 400;\"> \u2014 and stay informed by subscribing to the <\/span><\/i><a  href=\"https:\/\/www.nvidia.com\/en-us\/ai-on-rtx\/?modal=subscribe-ai\"><i><span style=\"font-weight: 400;\">RTX AI PC newsletter<\/span><\/i><\/a><i><span style=\"font-weight: 400;\">.<\/span><\/i><\/p>\n<p><i><span style=\"font-weight: 400;\">Follow NVIDIA Workstation on <\/span><\/i><a  href=\"https:\/\/www.linkedin.com\/showcase\/3761136\/\"><i><span style=\"font-weight: 400;\">LinkedIn<\/span><\/i><\/a><i><span style=\"font-weight: 400;\"> and <\/span><\/i><a  href=\"https:\/\/x.com\/NVIDIAworkstatn\"><i><span style=\"font-weight: 400;\">X<\/span><\/i><\/a><i><span style=\"font-weight: 400;\">.\u00a0<\/span><\/i><\/p>\n<p><i><span style=\"font-weight: 400;\">See <\/span><\/i><a  href=\"https:\/\/www.nvidia.com\/en-eu\/about-nvidia\/terms-of-service\/\"><i><span style=\"font-weight: 400;\">notice<\/span><\/i><\/a><i><span style=\"font-weight: 400;\"> regarding software product information.<\/span><\/i><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Agentic AI is changing the way users get work done. Following the success of OpenClaw, the community is embracing new open source agentic frameworks. The latest is Hermes Agent, which crossed 140,000 GitHub stars in under three months.<\/p>\n","protected":false},"author":609,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_mi_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[343],"tags":[13686,2432,4223,6031,7704,4298,13671],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.6 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Hermes Unlocks Self-Improving AI Agents, Powered by NVIDIA RTX PCs and DGX Spark - WebDomino.NET<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/webdomino.net\/index.php\/nvidia\/hermes-unlocks-self-improving-ai-agents-powered-by-nvidia-rtx-pcs-and-dgx-spark-2\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Hermes Unlocks Self-Improving AI Agents, Powered by NVIDIA RTX PCs and DGX Spark - WebDomino.NET\" \/>\n<meta property=\"og:description\" content=\"Agentic AI is changing the way users get work done. 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