Folks,
I’m setting up Hermes Agent on my Mac with Ollama hosting a local model. But I’m on the fence on whether I should go with Hermes or OpenClaw. Hermes makes some pretty bold claims about “growing with you” and “self improvement”.
Anyone have any insight into whether it’s as good as promised?
I have only very recently set it up and I’m running it with a cloud model (Gemini 3.5 Flash) but I do think its marquee feature (learning skills based on what you ask it to do and then being able to use those in the future) is pretty valuable. I haven’t used OpenClaw but my understanding is it has a massive library of skills (essentially repeatable functions or tasks) while Hermes has a somewhat smaller library of shared skills but crucially you can teach it your own skills by just asking it to do something and giving it notes on how to do it.
What’s the secret sauce? How it writes the skills? When it decides to do it within a conversation? Sounds like it creates skill files (markdown?) and saves them to a library, then an agent pulls in relevant skills during future prompts?
I can see this being obsolete very soon. Couldn’t you make Codex or Code do this for you. Build your own agent/s even. Maybe it’ll be included in future releases of major commercial LLMs.
Thanks for your reply. Yeah, that seems to be a powerful feature, specially if it’s actually able to make skills easily.