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Hermes Agent — AI-powered assistant
AI Agents: Top Trend of 2026 - by AIAgentStore.ai · 2026-03-30 · 3 min
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Learn more about Hermes Agent on AI Agent Store: https://aiagentstore.ai/ai-agent/hermes-agent List of AI Agents from newest Podcast Season 3 (including upcoming episodes): https://aiagentstore.ai/collection/podcast-season-3-hubiknfakzsj List of AI Agents from Podcast Season 2: https://aiagentstore.ai/collection/podcast-season-2-vlnpozxvkssy List of AI Agents from Podcast Season 1: https://aiagentstore.ai/collection/podcast-season-1-ucqthuywrwpd Find more AI Agents: AI Agent Store . AI agents ecosystem view: https://aiagentstore.ai/ecosystem . Biggest AI agents video collection: https://aiagentstore.ai/video . Find more AI Agents: AI Agent Store . AI agents ecosystem view: https://aiagentstore.ai/ecosystem . Biggest AI agents video collection: https://aiagentstore.ai/video .
✨ Episode Outline — click any point to jump to it in the episode
Problem solved
Amnesiac chatbots forget your workflow;
Hermes builds permanent, self-improving memory of how you work.
Benefits
- Closed learning loop autonomously generates reusable skill documents
- Free and open source with full deployment control
- Persistent shell access for unattended heavy lifting
- Skills follow agentskills.io standard — searchable markdown
- Builds a permanent model of your habits and workflows
Use cases
- Deploy locally on your own hardware or run quietly on a cloud virtual machine
- After solving a problem, Hermes reviews chat history and extracts steps into structured reusable markdown skill files
- Maintains persistent shell access with its own command line running in the background to do heavy lifting unmonitored
Tools / build
- Hermes Agent by Nous Research
- agentskills.io skill documents
- Persistent shell access
- Closed learning loop
Welcome back. So you know how we're always browsing the AI Agent Store website page, right? Well, today we pulled up something pretty interesting. It's the Hermes Agent by Noose Research. Yeah, it's a great pick. Right. And our goal today is to like figure out what it actually means for you when an open source AI is designed for, well, continuous self-improvement. Because usually interacting with AI today is kind of like dealing with an assistant who completely forgets how to do their job every single morning. Oh, exactly. Every chat window is basically an amnesiac brain in a jar. It only has the context you paste in that exact second. Right. And it just blanks out if you hit refresh. Yeah. So Hermes represents the fundamental shift in that architecture. We are not looking at a reactive chatbot anymore. Yeah. It actually builds a, you know, a permanent library of muscle memory. So it doesn't just learn the answer to your prompt. It learns how you got there. To me, it sounds like hiring a really meticulous intern. Okay. Yeah. How so? Like not just one who eventually remembers you take oat milk in your coffee, but one who actually, you know, writes down a standardized recipe. Right. And then they put it in the company manual so they never have to ask you again. That is a great analogy. And that company manual is what they call a closed learning loop. So when it successfully solves a problem with you, it actually looks back at the chat history. Wait, it looks back? Yeah. It looks back to see the exact path to that success. And then it extracts those steps to autonomously generate skill documents. Okay. So it is basically writing that coffee recipe on standard index cards. Exactly. And these index cards are highly structured, reusable markdown files. Got it. Yeah. They follow the agentskills.io standard, which means they're perfectly searchable. Hermes is continuously scanning its own library of these cards. Oh, wow. Right. And connecting the dots from previous interactions to build a, well, a permanent model of you. Which is wild. But wait, if this thing is permanently recording my habits and like writing its own code to automate them, do I have to sit at a terminal all day just to make sure it doesn't mess up? No, not at all. Because it is, you know, free and open source, you control exactly where it lives. Oh, okay. Yeah. You can deploy it locally on your own hardware or just run it quietly on a cloud virtual machine. It maintains what is called persistent shell access. Meaning it has its own active command line running in the background. Yes, exactly. It essentially has its own hands on the keyboard. So it does the heavy lifting without you needing to monitor it constantly. Wow. So we are officially moving past the amnesiac assistant era. We are looking at a system that actually curates its capabilities to match your specific workflows. Yeah, which, you know, leaves us with a kind of provocative question. Oh, we do tell. Well, if an open source tool is continuously searching your history, building a permanent model of your habits, and creating skills based on your workflow, at what point does your digital assistant understand your own creative process better than you do? Oh, man. That is a wild thought to chew on next time you are, like, explaining your workflow to a blank screen. Definitely. Well, if you want to check this out for yourself, head over to the AI Agent Store link. Thanks so much for reading the podcast. It really helps us out. Catch you next time.