u/Dismal_Hair_6558

It's available in the web app and AI Studio. The pricing is not cheap, $1.50 input / $9.00 output per million Token, so I don’t think I’d want to blindly route everything through it.

But as part of a Hermes setup, especially with multi-model routing, this could be really useful.

For me, the exciting use case is having Hermes decide when a stronger model is actually worth calling: planning, debugging, monitoring, self-improvement loops, harder coding tasks, or anything where a cheaper model might waste time looping.

That’s what I’ve been experimenting with my set up (Hermes on a Lightnode VPS using a mix of models like GLM, Opus, and Codex): Hermes as less of “one agent using one model” and more like an actual model orchestration layer. Will keep testing Gemini as to see if it differs significantly from Codex in terms a being the "high-level orchestrator" role.

Really excited for this. I’m currently in the process of slowly migrating parts of my existing OpenClaw setup over to Hermes. Right now my stack is running on a Lightnode VPS using a mix of models like GLM, Opus, and Codex, and I’m especially interested in moving the monitoring side of things to Hermes.

To me, that’s one of the strongest use cases for Hermes: not just “do this task,” but helping observe, reflect, and improve the system over time. That self-improvement loop feels like where Hermes can really shine.

I know some people have been criticizing Hermes for token efficiency, and I get the concern. But with multi-model routing, a few well-designed skills (one I recommend is OpenSquilla), and sensible task boundaries, I honestly don’t think it’s a deal breaker.

>Hermes Agent is now #1 on the Global OpenRouter token rankings. While our journey together has just begun, we'd like to take this opportunity to thank our contributors, supporters, and users for all they have done to get us this far.

NousResearch on X

Love to see this. Hermes has become an important part of my own home-agent journey, both locally and on my VPS setup.

Even though it may not replace OpenClaw for me any time soon, it has already earned a pretty solid place in my stack. I’ve been using it alongside my other tools to experiment with agent workflows, model routing, self-hosted-ish setups, and just generally figuring out what a practical personal AI environment can look like.

It’s cool to see an open-source agent project climb this fast and become a real viable competitor.

Top apps using baidu/cobuddy:free via OpenRouter:

1. OpenClaw — 4.48M tokens
2. Hermes Agent — 864K tokens
3. Claude Code — 484K tokens
4. Janitor AI — 367K tokens
5. Kilo Code — 345K tokens

This puts them at top 3 among open-source models, still a little underwhelming, not a multimodal model either