This note covers ongoing work with Hermes Agent as both a practical tool and a development surface: using it in real workflows, improving how it behaves, and tightening the systems around it.
What the work involves
The interesting part of Hermes Agent is not just prompting a model. It is the full operating layer around it: tools, memory, skills, browser actions, task flow, and the way an agent behaves when it has to do real work instead of just generate text.
That means working across product use and product development at the same time. In practice, it involves testing workflows, refining prompts and system behavior, improving task execution, and helping shape the parts that make the agent more useful in day-to-day work.
Why it matters
What makes an agent valuable is not novelty. It is whether it can reduce friction, keep context, make sensible decisions, and stay useful across repeated real-world tasks. That is the layer I find most interesting.
Hermes Agent sits right in that space: part interface, part workflow engine, part development environment. Working with it has been a practical way to explore how agentic systems become more reliable, more usable, and easier to shape around real needs.
Current direction
The work here is ongoing. It includes developing on the Hermes Agent codebase, improving the surrounding workflows, and using the system directly enough to see where the sharp edges are. That combination is where the most useful improvements usually come from.