You've used AI chatbots. You ask, they answer, you do the work. Hermes flips that.
Hermes is the AI agent from Nous Research. It doesn't act like one assistant. It runs a crew — a researcher, an architect, a coder, a tester, a reviewer — and they talk to each other to finish a real job end to end.
You set the direction. Hermes runs the factory.
So what actually is Hermes?
It's a command-line AI agent you point at a task. Give it a goal — "build me a landing page that does X" — and it breaks the work into steps, assigns each step, writes the code, runs it, finds the bugs, and fixes them. While you do something else.
Think of it like hiring a team of freelancers, except they never sleep, never charge hourly, and coordinate on a shared board that you can watch in real time. Each agent owns one role:
- A researcher that gathers facts first, so the work is grounded — not guessed
- An architect that plans the approach before anyone writes a line
- A coder that writes the actual code
- A tester that runs it and catches what's broken
- A reviewer that checks quality before the result reaches you
They hand off to each other on a kanban board — the same kind of board software teams use. Each agent picks up a card, does the work, and passes it to the next specialist. You watch the cards move from "todo" to "done."
A chatbot gives you a draft and stops. Hermes keeps going — research, build, test, fix, repeat — until the job is actually done. You get a finished product, not a suggestion for one.
What can you build with it?
Anything you'd normally hand a developer or do yourself at 1am:
- Landing pages — give it the topic and your offer, get a working HTML page with SEO meta tags, schema markup and responsive design
- Small apps and tools — calculators, form processors, internal dashboards, API integrations
- Data scripts — pull data from an API, clean it, format it, email you a report on a schedule
- Content pipelines — research a topic, write the article, format it, publish it
- Internal tools — the stuff that saves your team hours every week but nobody has time to build
The crew doesn't care what you sell. You give it the topic, it gives you the working thing. I've used it to build SEO article sets, data dashboards, automation scripts and client tools — all from a one-line brief.
How Hermes actually works (under the hood)
If you're technical, here's the mechanics. If you're not, skip to the next section — you don't need this to use it.
Hermes runs as a local agent on your machine. You install it, pick a model (any OpenAI-compatible model works — GLM-5.2, Claude, GPT-4o, whatever), and type a goal. Hermes then:
- Breaks your goal into sub-tasks and writes them as cards on a kanban board
- Spawns specialist agents, one per sub-task, each with its own conversation and context
- Agents pick up cards, do the work, and hand off via a shared memory store
- A judge agent scores each output — if it's below threshold, it goes back with notes
- Finished work lands on the board marked "done," with files saved to your workspace
The whole thing runs autonomously. You can walk away, come back in twenty minutes, and the board is full of finished work.
Want the whole crew, already wired?
Hermes runs best inside the Agent Operating System — the dashboard, the shared memory, the kanban, every agent profile, and weekly coaching calls. 2,200+ founders are building with it right now.
Get the Agent OS →How to get started with Hermes
You don't need to be technical. You pick a model, type what you want, and let the crew run. The fastest path is to run it inside one dashboard with shared memory — so every agent already knows your business, your goals and your style.
- Install Hermes and set up a model — free options like GLM-5.2 work great for most jobs
- Give it a clear goal in plain English — "Build me a landing page for my SEO agency that captures leads"
- Let the researcher gather facts — the crew grounds its work in real information, not guesses
- Watch the crew build — code gets written, tested, and reviewed on the board
- Review the finished output — the reviewer already checked it, but you get final say
- Ship it — then point the crew at the next job
Stop chatting. Start shipping.
What makes Hermes different from everything else?
The market is flooded with AI tools right now. Here's where Hermes stands apart:
Hermes
- Runs a crew, not a single chat
- Finishes the whole job — research to review
- Works autonomously while you do other things
- Plugs into any model, including free ones
- Persistent memory across sessions
- Shared board so agents coordinate like a team
Typical AI chatbots
- One conversation, one response
- You do the actual work after the draft
- Requires your constant attention
- Locked to one provider's model
- Forgets everything when you close the tab
- No coordination — it's just you and a text box
The shift isn't "better AI." It's a different category entirely. A chatbot is a tool. Hermes is a team.
Real example: building a 3-article SEO set
Here's what happened when I pointed a Hermes crew at "write 3 SEO articles about Hermes that upsell the AI Profit Boardroom."
A researcher agent looked at the landscape — what competitors rank for, what questions people ask, what keywords matter. An architect planned the structure. A writer drafted each article in my voice. An editor tightened the prose. A judge scored each one and sent back revisions. A designer agent then styled them into polished magazine layouts.
Total time: under 10 minutes. Total cost: effectively zero on GLM-5.2. The articles had hooks, value content, FAQ sections with schema markup, and CTAs — all done without me touching a keyboard.
That's not a demo. That's a Tuesday.
Who is Hermes for?
- Founders and solopreneurs who need to ship fast but can't afford a dev team yet
- Agency owners who want to 10x their output without 10x'ing headcount
- Developers who are tired of boilerplate and want an autonomous crew handling the repetitive work
- Content creators who need researched, structured, SEO-ready articles at scale
- Anyone with a backlog of "I'll build that someday" ideas
That's the shift. You stop being the whole team and start directing one. And the team never sleeps.
FAQ
Is Hermes free to use?
Hermes itself is an open agent, and you can run it on free or low-cost models like GLM-5.2 on the coding plan. You only pay for the model you choose to plug in.
Do I need to know how to code to use Hermes?
No. You give Hermes a goal in plain English. The coding happens inside the agent crew. Plenty of non-technical founders run it for landing pages, content and small tools.
How is Hermes different from ChatGPT or Claude?
Those are single assistants that answer and stop. Hermes runs a crew of specialist agents that research, build, test and review — finishing the whole job, not just drafting it.
What can Hermes build?
Landing pages, small apps, data scripts, internal tools, content pages — anything you'd hand a developer for a quick build.
Can Hermes run on free models?
Yes. Hermes is model-agnostic. You can run the entire crew on GLM-5.2 which is free on the coding plan, or switch to any paid model for harder reasoning tasks.
Does Hermes remember context between sessions?
Yes — Hermes has persistent memory across sessions. Agents share one memory store so they remember your business, goals, and style without you repeating yourself.