Yesterday, an open-source agent called Hermes quietly climbed to the top of OpenRouter’s charts. Nous Research built it. The community is stress-testing it. And one design decision changes how you think about agent memory.
What’s new: Hermes is free. You plug in your own model, run your tasks, and it saves finished jobs as reusable skills. It also builds long-term memory of how you work. No more rewriting the same setup prompt every session. Your second run on a similar job is already faster because it knows your pattern.
The model-agnostic routing is the real lever. Route coding to one model. Route research to another. People are reportedly mixing a few hundred models across a single month depending on the task type.
The twist: Free agent, paid brain. You still plug in a strong commercial model (Claude, GPT, Gemini) to get solid output. Free models technically run Hermes, just not as well. So the cost isn’t zero. It just shows up in your API bill instead of a subscription.
How to get started:
- 🔧 Clone the Hermes repo from Nous Research on GitHub
- 🔑 Connect your API key, Claude Sonnet or GPT for best results out of the gate
- ▶️ Run your first task, Hermes saves it as a reusable skill automatically
- 🔁 On the next similar job, your setup time drops to near zero
Pro tip: Set model routing by task type on your first run. Reasoning-heavy tasks to a strong coder. Research tasks to a web-enabled model. You cut costs and improve output quality without changing anything else about your workflow.
Full technical breakdown at mindwiredai.com if you want the full picture before committing.
What model combo are you running for agent work right now? Drop it in the comments. 🚀
Hermes: The Free Open-Source AI Agent Beating Paid Tools
by u/Exact_Pen_8973 in PromptEngineering