Been playing with Hermes Agent this week to build a GTM agent to work with. And honestly? I'm quite impressed...
The thing gets smarter the longer you use it - it builds experience, not just text-book skills.
Hermes is an open-source AI agent that can live in your machine or installed fast via VPS.
Unlike others, this one remembers everything across sessions, and writes its own skills when it solves hard problems.
It can run on a $5/month server, working with all relevant AI models, and you can set it up with Hostinger in under an hour.
Here's what makes it different:
Here's what makes it different:
→ It learns from solving problems
When it figures out something complex, it writes that solution down as a permanent skill. Next time you ask something similar, it doesn't start from scratch. It pulls from what it already learned. And you don't have to configure this. It just happens.
→ Memory sticks around for a long time
Most AI agents forget everything when you close them. Hermes remembers your preferences, past conversations, and solutions. The agent in month three is fundamentally different than day one.
→ Use any AI model you want
Switch between OpenAI, Anthropic, or 200+ models with a single command. Route expensive models to important tasks, cheap ones to simple stuff.
→ Your data stays on your machine
Nothing gets sent to external servers unless you configure it.
→ It can run multiple tasks at once
You can tell it something like : "every weekday at 9am, summarize my inbox and post to Slack" and it creates that schedule. No setup needed.
So, while OpenClaw behaves as "claws" and it's great at executing, I find Hermes is a great "brain"!
It's designed to compound, to improve as you use it, to learn from experience.
After a month it won't be like anyone else's, it'll be shaped to your own work and usage.
It's MIT licensed. Open source. Free to use.
Yet I'll be transparent - for non-techies it won't be trivial. You'll have to learn to get comfortable with a terminal (unlike OpenClaw for instance, that offers a UI).
I'm running mine through GTM automation experiments right now (lead enrichment, research tasks, multi-step workflows).
Still early but the architecture is solid, and I'm learning how to make it work with other automations and agents.
Anyone else playing with this? Where have you found this shines or underperforms?