Hermes Just Made Browser Automation Easy

Added: 2026-05-13

[00:00:00]New Hermes AI browser, agent, automate anything on the web. What if your AI agent could actually learn your browser and never forget? What if it could log into websites, click through multi-step flows, fill out forms, and read live pages all by itself? What if it could even fix itself when something breaks mid-task without you touching a thing?

[00:00:19]And what if nobody around you knew this was already possible? This is real. It's happening right now. And if you're not paying attention, you're going to fall behind. The digital avatar of Julian Goldie, I help people actually learn and use AI tools in their daily work, not just read about them. And today, I want to show you something that genuinely changed how I think about browser automation. Covering Hermes agent, the browser harness it just picked up as a new skill, and exactly what this combo can do for you. Stick around because by the end of this video, you're going to understand why people are calling this the most interesting open-source agent stack of 2026, and how you can start using it yourself. I start with Hermes agent because before we talk about the browser piece, you need to understand what kind of AI agent we're dealing with here. Hermes agent was released by Nous Research on February 25th, 2026. Nous Research is a well-respected open-source AI lab, the team behind the Hermes model family. These folks don't hype things up. They ship. And what they shipped with Hermes agent was something different. This is a self-improving AI agent. That phrase gets thrown around a lot, but here's what it actually means with Hermes. When the agent completes a task and figures something out, it writes that knowledge down as a reusable skill file. The next time it needs to do something similar, it reaches for that skill instead of starting from scratch.

[00:01:35]That's a real feedback loop you can verify by just looking at files on your disk. It's not a marketing claim. It's a system with a built-in learning loop called the curator, which continuously evaluates skill performance, grades what's working, prunes what isn't, and consolidates related skills into stronger, more general tools. Seven weeks after launch, Hermes crossed 95,000 GitHub stars. Version 0.1 sim.0 shipped on April 16th, 2026 with 118 bundled skills, three layers of memory, and six messaging integrations. As of early May 2026, the repo has crossed 135,000 stars, reaching that number in about 10 weeks, making it one of the fastest growing open-source agent frameworks ever. The research backing this is real, too. The self-improvement mechanism is called GPA, accepted as an oral presentation at ICLR 2026. Data shows agents with 20 or more self-generated skills become about 40% faster on repeated tasks. That's documented, verifiable improvement. It's MIT-licensed, so no vendor lock-in. It supports over 200 models, Open Router, News Portal, OpenAI, Anthropic, even local models through Ollama. Ships with 40 or more built-in tools, including web search, browser automation, file operations, and code execution. And it supports 19 or more messaging platforms, including Telegram, Discord, Slack, WhatsApp, Signal, WeChat, and more, all through a single gateway. Now, here's what brings everything together for today's video. May 5th, 2026, just days ago, Browser Use made an announcement on X. The tweet said, "Hermes agent just gained a new skill, browser harness."

[00:03:14]Now, Hermes agent has self-improving browser tools, parallel stealth cloud browsers, full freedom within your browser. All it takes is one prompt.

[00:03:23]That's the combo we're talking about today, Hermes plus browser harness. So, what is browser harness exactly? Browser harness is an open-source project from the Browser Use team, the same people behind the Browser Use library that has over 91,000 GitHub stars and an 89.1% success rate on the Web Voyager benchmark. They know browser automation better than almost anyone, and they built browser harness because they got frustrated with how every existing framework kept limiting what the agent could actually do. Their own blog post explains it directly. When they built the original browser use library, they shipped thousands of lines of element extractors, DOM indexes, and click wrappers. All of that was abstraction they'd added themselves. And every one of those abstractions was a constraint the model had to fight around. So, they removed the framework entirely. Browser harness is built directly on CDP, the Chrome DevTools protocol, meaning there is literally just one web socket connecting the agent directly to your Chrome browser. Thing in between. No predefined recipes. No fixed set of actions. The agent writes what it needs when it needs it. Here's the part that makes it genuinely different. When the agent hits something it can't do with the current helpers, it edits the helpers file itself mid-task, adds the missing function, and continues. That's what self-healing means. The harness evolves every single run. Pages dying, targets wrongly attached, Chrome stalling, the agent reads the error, reattaches, and retries. It doesn't need a watchdog watching over it. Handles all of that itself. When I first started digging into Hermes and figuring out which workflows actually save time versus which ones just sound cool, I found a community called AI Profit Boardroom. 2,000 members all focused on learning AI together and sharing what actually works. It's where I'd share experiments like this one and see what people were actually getting results with. If you're serious about using AI to genuinely improve your work and skills, check it out. Link is in the description. Now, let's get practical.

[00:05:18]What can you actually do with Hermes plus browser harness? The key thing to understand is that this is not a web scraping tool. Tools like Tavily or Axiom hand the agent a static text snippet of a page. It's like reading a summary someone else wrote. Browser harness connects to a real live Chromium browser. The agent can log in, work through multi-step flows, fill forms, wait for JavaScript to render, take screenshots, scroll, and click through anything a human would click through.

[00:05:44]That's a completely different category.

[00:05:46]Here are two real documented examples from people already using this. The first comes from a Substack writer who documented their Hermes setup in detail.

[00:05:54]They save 10 to 20 bookmarks on X every day, but like most people never actually went back to read them. Their workflow now looks like this. The X API fetches the bookmark list with tweet text and linked to URLs. The browser navigates to each article URL and extracts the full rendered content. An LLM summarizes each article and a daily report gets saved to a wiki. Second example comes from a post on X. Someone using browser harness gave their agent a task on eBay. Find all the parts needed for a decent AI rig and add them to a cart. The agent completed the whole thing in one shot without any human guidance mid-task. Navigation, filtering, cart additions, all of it fully automated. These aren't edge cases. They're showing you the kind of multi-step, interactive, logged-in web work that traditional tools simply cannot touch. Now, let me talk about the skill system in the context of browser harness because this is where the combo gets really interesting. Every time Hermes uses browser harness and figures out something non-obvious about a website, the right selectors, the correct flow, how a particular login works, it files a domain skill document.

[00:06:57]Next time it needs to work on that same site, it starts with that existing knowledge instead of rediscovering everything from zero. GitHub repo already has domain skill folders for GitHub, LinkedIn, Amazon, and others.

[00:07:08]The project specifically asks contributors not to hand author these files. Only agent generated ones go in because those come from real execution in a real browser, not guesswork.

[00:07:19]Broader community already has over 50 domain skill documents and 16 interaction technique documents, and that knowledge base grows with every new contributor. This is compounding. The agent gets faster and more capable on every site it's visited before. And with Hermes's GAPA self-improvement loop running on top, skills that get used more often get better over time, too.

[00:07:39]Let me cover setup quickly because I know that's on your mind. Getting browser harness running is designed to be simple. You You paste one prompt into Claude code or codex, set up the browser harness repo for me. You'd install damn D first to install and connect this repo to my real browser. The agent reads the instructions and does the rest, including connecting to your local Chrome. Browser use also offers a free cloud tier with three concurrent browsers. You grab an API key from cloud.browserless.com.

[00:08:05]Hermes can even provision its own API key autonomously using a challenge response system that requires real LLM reasoning to solve. That's intentional.

[00:08:14]Keeps automated bot registrations out.

[00:08:17]For deployment, Hermes supports six terminal backends, local, docker, SSH, Daytona, singularity, and modal. You can run this on a personal laptop, a cheap server, or a cloud container. And if you need stealth browsing, anti-detect browser profiles, residential proxies across 195 or more countries, capture solving, browser uses cloud tier handles all of that, too. The agent browses in a way that looks like real human traffic from wherever you need it to be. If you're looking to dive deeper into AI tools and actually implement them in your work, I recommend AI Profit Boardroom for 2,000 people learning how to use AI effectively.

[00:08:54]Shares real experiences, what's working, what's not, which tools are worth your time, which ones to skip. No hype, just solid information and practical guidance from people doing the work. It's helped me stay on top of updates like this one and figure out how to actually apply them. Link in description if you want to check it out. If you want the full process, SOPs, and 100 plus AI use cases like this one, join the AI Success Lab.

[00:09:19]Links in the comments and description.

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