Quick vibes check: a 78-year-old marketing exec who had never written code shipped a working robotics app this week.\u00a0<\/p>\n
That stat comes from Clement Delangue\u2019s thread<\/a> on Hugging Face\u2019s Reachy Mini app store, which crossed 300+ live apps and roughly 10,000 robots deployed worldwide.<\/p>\n The exec used natural language to build it without any Python or special robot software; in the time it would have taken you to install ROS, this person built a thing the robot now does.<\/em><\/p>\n AI is becoming a tool that lets people build things they couldn\u2019t before. Anthropic\u2019s new Dreaming<\/a> feature lets agents process past sessions overnight and write new memories for themselves while you sleep. And Nous Research\u2019s Hermes Agent<\/a> shipped a major release this week, pushing the same idea further with a persistent personal agent that learns your specific work over time.<\/p>\n If you don\u2019t know, Hermes is kinda like the successor to OpenClaw (the personal AI assistant that defined this category over Christmas).<\/p>\n Yesterday, it shipped v0.13.0 \u201cThe Tenacity Release\u201d<\/a>, with 864 commits from 295 contributors in one week and 8 critical security holes closed. (One was a Discord bug that let bots message users across servers they shouldn\u2019t reach.) About 30% of OpenClaw users have switched<\/a> per Reddit sentiment surveys, citing easier setup, better memory defaults, and a self-improving learning loop.<\/p>\n Hermes Agent launched in February 2026 from Nous Research<\/a>, the lab behind the Hermes model family. 135,000+ GitHub stars, MIT licensed, ships with 40+ bundled skills (modular instruction packs the agent reuses).<\/p>\n The architecture is built around a closed learning loop<\/strong>. After a complex task, Hermes enters a \u201cReflective Phase\u201d: it analyzes what worked, extracts reusable patterns, and writes a new skill file<\/a> encoding the solution. Next time a similar task arrives, it queries its own skill library instead of reasoning from scratch.<\/p>\n Three memory layers (session, episodic via SQLite, procedural skills). Runs on a $5 VPS, GPU cluster, or serverless. Model-agnostic; works with OpenRouter, Anthropic, OpenAI<\/a>, Nous Portal, Kimi, MiniMax, GLM, or your own endpoint.<\/p>\n Talk to it via Telegram, Discord, Slack, WhatsApp<\/a>, Signal, Email, or CLI. Yesterday\u2019s release added Google Chat as the 20th platform, plus durable multi-agent Kanban with heartbeat, zombie-worker reclaim, retry budgets, and a hallucination gate. It also added persistent \/goal for long-running tasks, post-write file linting on every edit, and session auto-resume when the gateway restarts mid-task.<\/p>\n Installation is a one-line curl installer that auto-handles all dependencies (Python 3.11, Node.js, ripgrep, ffmpeg). Run hermes setup and the wizard auto-detects ~\/.openclaw, offering to import settings, memories, skills, and API keys (ask your regular AI chatbot to help you set it up if that\u2019s confusing)<\/em><\/p>\n OpenClaw built the category by organizing everything around a messaging hub<\/a>; Hermes flipped the design, putting the agent\u2019s learning loop at the center. Both agents can have AI-written skills, but Hermes\u2019s loop is automatic.<\/p>\n OpenClaw skills are runbooks that you (or an AI you prompt) write up front. Hermes pauses every ~15 tool calls and after complex tasks, reflects on what just worked, writes a Markdown skill file capturing the pattern, then refines it the next time. Compounding is built in.<\/p>\n Hermes isn\u2019t strictly better. OpenClaw still has 24+ messaging integrations (vs. Hermes\u2019s six), more security scrutiny, and transparent file-per-memory you can inspect. Many power users run both<\/a>, with OpenClaw as the orchestrator and Hermes as the learning loop. But if you want one self-hosted agent that gets better at your<\/em> work the more you use it, Hermes is becoming the answer.<\/p>\n Editor\u2019s note: This content originally ran in the newsletter of our sister publication, <\/strong>The Neuron<\/strong><\/a>. To read more from The Neuron, <\/strong>sign up for its newsletter here<\/strong><\/a>.<\/strong><\/p>\n The post This AI Agent Is Quietly Leaving OpenClaw in the Dust<\/a> appeared first on eWEEK<\/a>.<\/p>","protected":false},"excerpt":{"rendered":" Quick vibes check: a 78-year-old marketing exec who had never written code shipped a working robotics app this week.\u00a0 That stat comes from Clement Delangue\u2019s thread on Hugging Face\u2019s Reachy Mini app store, which crossed 300+ live apps and roughly 10,000 robots deployed worldwide. The exec used natural language to build it without any Python […]<\/p>\n","protected":false},"author":0,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2],"tags":[],"class_list":["post-8099","post","type-post","status-publish","format-standard","hentry","category-news"],"_links":{"self":[{"href":"https:\/\/cybersecurityinfocus.com\/index.php?rest_route=\/wp\/v2\/posts\/8099"}],"collection":[{"href":"https:\/\/cybersecurityinfocus.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/cybersecurityinfocus.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"replies":[{"embeddable":true,"href":"https:\/\/cybersecurityinfocus.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=8099"}],"version-history":[{"count":0,"href":"https:\/\/cybersecurityinfocus.com\/index.php?rest_route=\/wp\/v2\/posts\/8099\/revisions"}],"wp:attachment":[{"href":"https:\/\/cybersecurityinfocus.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=8099"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/cybersecurityinfocus.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=8099"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/cybersecurityinfocus.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=8099"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}These stories show a pattern<\/h2>\n
Speaking of Hermes<\/h2>\n
Here\u2019s what happened<\/h2>\n
Why this matters<\/h2>\n
Our take<\/h2>\n