Hermes: the agent that actually ships
The move to a plain HTML blog was only possible because the agent doing the work stayed in the same terminal I use for everything else. Hermes is not another chat window. It is a CLI agent that remembers what I care about, loads the right skills for the job, and keeps working until the task is actually done. Most agents stop at the plan. Hermes keeps going until there is a working artifact and the result has been verified. That single rule changes what you can hand off.
The main benefits I have noticed after using it daily start with memory that actually matters. It stores stable facts about my projects, preferences, and environment. Not session history that gets thrown away, but things like SSH keys live in separate ed25519 files per server or Proton Bridge is configured for markus@asuntoyhtio.com. I do not have to repeat context every time I open a new terminal.
Skills instead of prompts is the next big win. Common workflows live in reusable SKILL.md files. When I need to do B2B outreach, review a PR, or update the static site, the agent loads the relevant skill instead of me writing the same instructions again. The skill encodes the exact commands, pitfalls, and verification steps that worked last time.
Sub-agents for real parallel work help when a task has independent parts. Hermes can spawn leaf agents that each get their own terminal and context. They report back only the final summary. I no longer have one long thread trying to do five things at once.
It refuses to describe and insists on doing. If I ask it to build something, the deliverable is a file that exists and has been exercised, not a markdown plan. The rule use tools whenever they improve the result is enforced at the system level. That removes the polite but useless I would run the tests now answers.
Stays in the CLI with no desktop app, no TUI to fight with, and no context switching to another interface. It works where my git repo and my servers already are. The result is that writing, deploying, researching, and even sales outreach all feel like the same activity. I state the outcome, the agent handles the mechanical steps, and I only step in when a real decision is needed. The blog you are reading is one small example. The larger ones are the customer pipelines and server automations that now run with far less of my time.