01What Is Hermes Agent 2.0 and How It Works
Hermes Agent 2.0 is a system that uses multiple AI models working together as a panel of agents. Instead of relying on one model, it stacks several models inside the Hermes agent framework and combines their outputs into one better answer. As Julian Goldie explains, this system is more powerful than waiting for gated models like GPT-5.6 or MIFOS because the system itself makes the intelligence, not just the model.
In this episode, Julian shows that a panel of experts beats one genius. By mixing models like Claude Opus, Fable 5, and others, the system outperforms the best single frontier model. The key idea is that several minds working together produce better results than any one mind alone.
The system does not need super expensive models; you can use free APIs or local models and still get strong outputs.
02Main Features of Hermes Agent 2.0
Hermes Agent 2.0 brings together the newest Mixer of Agents model from Neuse Research and the Hermes agent. It plugs into a full agent operating system (Agent OS) that gives you a graphical interface. Here are the main features Julian shows:
- Panel of agents: Run one prompt through multiple models and get an aggregated answer.
- Chat interface: Talk to the panel directly without using terminal commands.
- Talk mode: Speak to agents using voice control.
- Hermes Jarvis: Voice control plus computer use and browser control.
- Hermes Oracle: Pulls in the latest news and helps draft content.
- Workspace: All outputs are saved, so you can preview, edit, and go back to them.
- Mixer tab: A simple field where you type your prompt and run the panel.
Julian also mentions that memory is included. The system stays the same even if models get banned or replaced, which means you never need to worry about access to any single model.
03How to Set Up Hermes Agent 2.0 Step by Step
Setting up Hermes Agent 2.0 is done through the Agent OS. Julian provides a zip file that contains everything. Follow these steps to get started:
- Go to the AI Profit Boardroom or the link in the description to get the Agent OS zip file.
- Download and unzip the file. Inside you will find the full agent operating system with a Windows-style interface.
- Open the Agent OS and navigate to the Mixer tab. You do not need to open a terminal.
- Choose the models you want in your panel. You can use free APIs, local models, Claude Opus, Fable 5, or any other model you have access to.
- Type your prompt in the Mixer tab and click the button to run the panel.
- Review the aggregated output in the workspace. You can save it, edit it, or use it directly.
Julian notes that you can also use terminal commands if you prefer, but the Agent OS is much simpler. All your work is saved inside the workspace, making it easy to come back to.
04How to Use Hermes Agent 2.0: Examples Shown
Julian demonstrates several ways to use Hermes Agent 2.0. For example, he builds a lead generation tool for outreach. He types a prompt in the Mixer tab, and the panel automatically finds leads, builds an email campaign, and sends emails—all in one click.
The system handles everything inside the Agent OS.
Another example is creating open-world games. Julian shows that games built with Hermes Agent 2.0 look much better than those built with Claude Opus 4.8 alone. The panel system produces cleaner, more detailed outputs because it combines the strengths of several models.
You can also use the chat feature to ask the panel questions. For instance, if you need content, you can use Hermes Oracle to pull in the latest news and draft posts. The talk mode lets you speak your commands, and Hermes Jarvis controls your computer and browser.
Julian says all these features work together seamlessly, saving you time and switching between tools.
05Results and Comparisons from the Episode
Julian tested Hermes Agent 2.0 on 42 different builds using a leaderboard he created called Goldie bench. He used the same prompts across all useful models. The top two systems were fusion and Hermes Mixer of Agents.
Claude Opus 4.8 appeared much lower on the list.
When comparing the outputs side by side, the difference was clear. For the same prompt, Hermes Agent 2.0 produced nicer-looking results than Claude Opus 4.8. Julian shows one example where Opus 4.8 gave a buggy output that was hard to control, while the panel system gave a clean, usable result.
The trend Julian observed is that panel-based systems—like fusion, Hermes Mixer of Agents, and Fugu Ultra—are dominating the leaderboard. He explains this makes sense because they combine the best of all models and have them work together. The system beats the best single model, even models that are not yet publicly available.
06Tips, Limits, and Mistakes to Avoid
When using Hermes Agent 2.0, Julian shares several important tips. First, do not chase after new models. Focus on building a solid system.
The system stays useful even when models come and go. Second, you do not need expensive models. Cheap models or free APIs work fine when combined in a panel.
One limit is that the setup can be technical if you use terminal commands. That is why Julian recommends the Agent OS, which does not require any command-line skills. Another mistake to avoid is thinking one genius model is enough.
Julian shows that a team of models always beats one top model. Finally, remember that all outputs are saved in the workspace, so use that feature to keep track of your work and improve over time.
Julian also mentions that the Hermes agent team is releasing a Hermes bench, which will likely confirm his findings. The episode makes clear that the system is the key, not any single model.
07Who Hermes Agent 2.0 Is For and Why It Matters
Hermes Agent 2.0 is for anyone who wants to get better results from AI without waiting for the next big model. Julian says it is especially useful for business owners and marketers who want to automate tasks like lead generation, outreach, and content creation. The Agent OS makes it easy for non-technical people to set up and use.
The system matters because it solves the problem of model gatekeeping and limited access. You no longer need to worry about which model is banned or which one will come out next. By using a panel of models, you get smarter outputs today.
Julian mentions that over 3,800 members of the AI Profit Boardroom already use this system, and there are 191 pages of testimonials from people who have had success with it. The episode makes the case that building a system, not chasing models, is the future of AI work.