Why are we still settled for 'good enough' when it comes to agentic frameworks?
I’ve tried them all. The heavy enterprise ones. The experimental GitHub repos that break the moment you look at them.
Choosing the right stack for a startup is a nightmare because you’re usually trading off speed for control. But using Hermes Agent locally changed my perspective on where the ceiling is for open-source intelligence.
Most frameworks are rigid. Hermes is fluid.
Connecting it to real-world tools and watching it navigate multi-step logic wasn't just a technical win—it was a glimpse into a new era of development. It’s the difference between a scripted sequence and a dynamic problem-solver.
Check out what they're building:https://hermes-agent.nousresearch.com/
When we look back, this will be the moment the playing field leveled for independent developers. We aren't just consumers of AI anymore; we're the architects.
What’s the one thing holding your current AI agents back from being truly useful?
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