Hermes Agent + China's GLM 5.2 is INSANE

[00:00:00]Hermes' agent plus China's GLM 5.2 is insane. What if the most powerful new coding model right now didn't come from America at all? What if it quietly dropped out of China and barely anyone noticed? Why are the top builders racing to plug it into their agents this week?

[00:00:14]And what happens when you drop it inside an AI agent that actually learns on its own? Most people are still juggling 10 tabs. They have no idea this is even possible. I'm the digital avatar of Julian Goldie and my whole job is helping you actually use AI tools in your real work, not just watch shiny demos. Today, I'm going to show you something that genuinely surprised me. I took a brand new Chinese model called GLM 5.2, plugged it into the Hermes agent, and ran the whole thing inside Agent OS. And the stuff it built was wild. I'll show you in a second. But first, let me explain why this combo is such a big deal. Because once you get it, you won't want to go back. So, let's start with GLM 5.2. This came out on June 13th, >> [music] >> 2026 from a Chinese lab called Zhipu, also known as Z.ai. And here's the headline that matters. It has a 1M token context window. That's just a fancy way of saying it can hold a huge amount of information in its head at one time.

[00:01:04]Think entire projects, not one little file. So, it doesn't lose the plot halfway through a big job. On top of that, the weights are open under something called an MIT license. In plain English, that means anyone can download it, run it on their own machine, and build on top of it without restrictions. No single company can switch it off. That's a really big deal because we just saw a couple of big models get restricted recently and people lost access overnight. An open model like this doesn't disappear on you. Now, here's the clever part. GLM 5.2 speaks the same language as a lot of agent tools out there. So, you can point your agent straight at it without rebuilding anything. You just plug it straight in instead of juggling five different setups to make it work. Plug it in once and you're going. And no, this isn't just hype. On a coding test called Terminal Bench, GLM 5.2 scored around 81, which puts it right behind Claude's Opus 4.8. On another real-world coding test called SWE-bench Pro, it actually came out ahead of GPT 5.5. And here's the one that caught my eye. On an independent web design leaderboard, GLM 5.2 sat at number one for building front-end websites ahead of Claude. So, for building sites and visual stuff, it's genuinely one of the best you can use right now. Okay, so the model is great, but a model on its own just chats back at you. The real magic is when you give it hands. That's where Hermes agent comes in. Hermes is an open-source agent built by a team called Nous Research. And here's the proof.

[00:02:23]This isn't me forcing two random things together. The guy who Hermes Technium literally posted that GLM 5.2 is now live inside Hermes agent. The people who make Hermes wired GLM 5.2 in within days of it dropping. That tells you they trust it. Here's what makes Hermes special. It learns. Every time it finishes a job, it writes down what worked and what didn't, so next time it's better. It remembers you across sessions, so you're not re-explaining yourself every morning. And you can swap models with one tiny command. You literally type Hermes model and pick GLM 5.2. No code, no mess, done. Now, here's how I actually run all of this and this is the part I really want you to get. I don't run Hermes in some scary terminal on its own. I run Hermes agent with GLM 5.2 inside Agent OS. Agent OS is one dashboard on my computer where every agent lives together. So, I've got Hermes agent sitting right there with GLM 5.2 plugged in as the brain next to all my other agents. They share memory, they share context, and I can see everything they build in one place. That exact combo, Hermes agent plus GLM 5.2 inside Agent OS, is what created everything I'm about to show you. So, let me show you what I built with it. I used Hermes agent with GLM 5.2 inside Agent OS to build out full content series designed to bring more people into the AI Profit Boardroom. I handed my agents a list of topics AI Profit Boardroom members keep asking about and they drafted the scripts, the hooks, and the captions in one go. That's exactly the kind of content that pulls the right people toward the AI Profit Boardroom.

[00:03:48]Then I ran the same setup to map out the welcome flow new AI Profit boardroom members go through on day one. GLM 5.2 plan the welcome messages, the first core prep, and the resource walkthroughs all from a single prompt. So, new AI profit boardroom members land inside and instantly know what to do next instead of feeling lost. I also used Hermes agent with GLM 5.2 to build a full website with blog posts that explain how our agent setup works. So, anyone curious about the AI profit boardroom can read it and understand it straight away. And because GLM 5.2 is so strong on front end, the site came out clean and it loaded really fast. Now, let me show you how I actually organize these agents because this is where it gets seriously powerful. Inside Hermes, you can set up profiles. A profile is just a role. So, I'll make one agent a researcher, one a writer, one an editor, and one a judge. The judge is the secret weapon. It's only job is to look at the work and say, "Nope, not good enough. Do it again." So, instead of one agent handing you one rough draft, you've got a little team that keeps improving the work until it's actually done right.

[00:04:45]There are two ways I like to run this.

[00:04:47]The first is a Kanban board, which is just a task board, like sticky notes on a wall. I drop a task on the board and Hermes picks the best profile for that job and gets it done. If it's a writing task, it grabs a writer. If it's research, it grabs a researcher. I don't have to baby sit it. The second way is a team setup where a manager agent takes one big goal, breaks it into smaller jobs, and hands them out to the other agents to run at the same time. So, the work happens in parallel, not one slow step at a time. And the best part of running it this way is that nothing gets lost. When I build something with Hermes and GLM 5.2 inside Agent OS, it's saved.

[00:05:18]I can scroll back, watch it again, and build on top of it tomorrow. Compare that to the old way where you're stuck inside one tool in one tab with no shared memory repeating yourself over and over. If your model gets taken down, your whole chat can vanish. With this setup, if a model disappears, you just swap a new one in and keep going. The agents stay, the memory stays, the work stays. That's the whole point. Now, if you're watching this thinking, "This sounds amazing, but I don't want to build it all from scratch," I've got you. Inside the AI profit boardroom, we've packaged the entire Agent OS as a zip file you can drop in and run with Hermes Agent ready to go and GLM 5.2 ready to plug straight in. You also get a full 30-day roadmap that walks you from install to a working team of agents plus a big pack of prompts to drive it.

[00:05:57]On top of that, there are live coaching calls where you can ask about your exact setup and step-by-step walkthroughs for wiring in models like GLM 5.2. So, if you want this exact GLM 5.2 plus Hermes build setup with you instead of your own, the AI Profit Boardroom was built for exactly this. You can get the full zip file inside with Agent OS ready to install and we built out a complete 30-day roadmap right there packed with use cases just like this one. Okay, let me show you more of what this combo can do because it's not just websites. I tested GLM 5.2 head-to-head against Opus 4.8 and Kimmy K 2.7 on some fun builds.

[00:06:31]I had each of them make a little game and a liquid simulation and honestly, GLM 5.2 made the most fun, most interesting stuff out of the three on the visual side. It also built a full operating system style demo with little apps living inside it. The thing I keep noticing is how fast it feels. When I built a site and click between the pages, they snapped over instantly, no lag. And it goes way beyond games and websites. One of the coolest things I built was an AI avatar video and the whole thing was made by a team of these agents working together. One agent did the research, one wrote the script, one handled the voice over, one did the editing and a judge agent checked the final cut before it went out. So, it wasn't just one model spitting out a clip, it was a little crew all running on Hermes Agent with GLM 5.2 inside Agent OS passing the work down the line until it was finished. That's the part that still amazes me. So, how do you actually set this up? It's simpler than you think. You add GLM 5.2 as a new model in Hermes either in your model settings or by typing Hermes model and picking it from the list. Then you create your profiles, your researcher, your writer, your judge and you drop them inside Agent OS so they all live in one place and share the same memory.

[00:07:36]That's the whole setup. Some people say I should just pick one AI and stick with it forever but models change every single week. GLM 5.2 didn't even exist a few days ago and now it's near the top.

[00:07:46]The smart move isn't betting everything on one model. It's building a system where you can swap the best new model in the moment it drops. That way, whatever comes out next, you just plug it in and keep moving while everyone else starts over. So here's what to do next. If you want the full process, SOPs, and 100 plus AI use cases like this one, join the AI Success Lab. Link's in the comments and description. You'll get all the video notes from there plus access to our community of 75,000 members who are crushing it with AI. You can get the full zip file inside with Agent OS ready to install and we built out a complete 30-day roadmap right there packed with use cases just like this one. And once you start building with GLM 5.2 and Hermes inside Agent OS, you're going to hit a few bumps. Maybe the model won't connect at first. Maybe a profile isn't picking the right job. Maybe you're not sure how to set the judge up so it actually pushes your work higher. That's exactly where the AI Profit Boardroom helps you get unstuck fast. You get the live coaching calls to fix your setup in real time, the tutorials that show you each step, the 30-day roadmap so you always know what's next, and the prompts that make GLM 5.2 really perform.

[00:08:51]Instead of guessing for weeks, you get it working in days. You can get the full zip file inside with Agent OS ready to install and we built out a complete 30-day roadmap right there packed with use cases just like this one. Come build it with us at aiprofitboardroom.com.