Get Ready for the Hermes Workshop
Before you start
Welcome, and thank you for joining us! We're really glad you're here.
By the end of the workshop, you'll have your own Hermes AI agent running on your own machine. One that knows your context, remembers your projects, and carries on working while you sleep.
The steps below are just getting your workbench ready, so that on the day we can start building right away. It takes 10-20 minutes, and none of it is difficult.
Would rather just watch the workshop and build on your own time? Completely fine! Everything is recorded, so you can build along later at your own pace.
Steps
1Pick where Hermes will live 1 min
2Install Hermes and connect a model 5 mins
3Keep a chatbot open
4Install a coding agent 5 mins
5Run models on your own machine optional · 10 mins
Frequently asked questions
Your checklist
Step 1 · 1 min
Pick where Hermes will live
Hermes runs on a machine you control, so the first decision is simply which machine.
| Option | Good for | Trade-off |
|---|---|---|
| Your laptop recommended | Getting started fast. Nothing extra to buy or configure. | Scheduled jobs only run while the laptop is on and awake. |
| A dedicated machine (old laptop, Mac mini, gaming PC, home server) | An agent that is always on, without paying monthly. | Needs to stay powered and connected at home. |
| Mini computer eg. Raspberry Pi | Low-power always-on box. | Not enough to run powerful local models. Use it with a cloud model provider. |
| VPS (a rented server in the cloud) | Always on, reachable from anywhere. | Small monthly cost, and setup happens through a terminal. |
Our advice: just use your laptop. It's the fastest way to get going, and moving Hermes somewhere else later is straightforward; we'll send resources on how to do that after the workshop. Don't overthink this one.
Step 2 · 5 mins
Install Hermes and connect a model
This is the one step that really matters. Two parts: install the app, then give it a brain.
2a. Install Hermes
Download the desktop version from hermes-agent.nousresearch.com/desktop. It runs on macOS, Windows, and Linux, and it's free.
Prefer the command line? You can install it that way too; see the official install guide.
Video · Installing Hermes
2b. Pick a model
Hermes is the agent. The model is the brain it thinks with, and you choose which one. Pick based on what you already pay for, or what you feel like spending.
| Provider | Pick this if |
|---|---|
| Nous Portal | You want the simplest setup, made by the team behind Hermes. |
| OpenAI | You already have an OpenAI API account. |
| Anthropic | You already have a Claude API account. |
| OpenRouter | You want one account that gives you access to many models, including some free ones. |
| Local model (Ollama, LM Studio, llama.cpp) | You want it free and private. See Step 5. |
Head's up: if you have a paid Anthropic or OpenAI subscription, make sure you're using your subscription and not the metered API!
Video · Connecting to Nous Portal
2c. Send your first message
Pick a model in Hermes and say hello. If it replies, you're done.
Video · Sending a test message
You're finished with this step when Hermes is installed on your chosen machine, and a model answers you.
Step 3
Keep a chatbot open
Have a general AI chatbot open in a tab during the workshop. It'll come in handy! 😊
Already pay for one? ChatGPT, Claude, Deepseek, Grok, Gemini etc. all work fine. Just choose your go-to AI chatbot. Don't pay for one? The free tier of any of them will be good enough.
Step 4 · 5 mins
Install a coding agent
Don't let the name put you off. For most people, this takes less than 5 minutes.
A coding agent is just an app that helps you write code. You type what you want in English, and it does the rest. Don't worry if you don't know how to code. For this workshop you don't need to understand the code, and you won't be directly writing any code yourself.
If you already pay for Claude or ChatGPT
You're almost done already. Download the desktop app, click sign in, and that's it.
Claude subscription → download Claude for Desktop
ChatGPT subscription → download ChatGPT for Desktop
The videos below show you exactly what to click. Each one is about a minute.
Video · Installing Claude Code · 1 min
Video · Installing Codex · 1 min
If you'd rather not pay for anything
Use OpenCode instead. It's completely free, and it works with free models as well as the local models in Step 5.
We've made a walkthrough you can follow along with so you can set up in minutes:
Video · Setting up OpenCode for free
One last thing
Coding agents can be accessed via desktop app, command line, through Cursor, VS Code, or any other IDE too. If you're already familiar with coding agents feel free to use whatever method you prefer. But if you've never used a coding agent before please download the desktop app version because that's what we'll be using during the workshop.
You're finished with this step when it's installed, you're signed in, and you've asked it one question and got an answer back.
Step 5 · Optional · 10 mins
Run models on your own machine
Skip this one unless you want to take it a step further and run models privately on your own computer.
Each tool below runs a small server on your machine. Hermes connects to it just like it would a paid provider; you just paste in a local address instead of signing in.
| Tool | Best for | Local address to paste into Hermes |
|---|---|---|
| Ollama recommended | Most people. Simple install, one command to download a model. | http://localhost:11434/v1 |
| LM Studio | People who prefer a visual app to browse and download models, no terminal. | http://localhost:1234/v1 |
| llama.cpp | Those comfortable with code who want more control and faster performance. Terminal only. | http://localhost:8080/v1 |
Ollama
Downloading a model with Ollama and connecting it to Hermes
- Download Ollama from ollama.com
- Download a model
- In Hermes, choose a custom / local endpoint and paste
http://localhost:11434/v1
Video · Setting up Ollama with Hermes
LM Studio
Starting the LM Studio local server and connecting it to Hermes
- Download LM Studio from lmstudio.ai
- Search for and download a model inside the app
Video · Installing LM Studio and chatting with a local model
- Open the Developer tab and start the local server
- In Hermes, choose a custom / local endpoint and paste
http://localhost:1234/v1
Video · Connecting LM Studio to Hermes
llama.cpp (for those who code)
llama.cpp gives you the most control and usually the best speed, but it runs from the terminal. Follow the official llama.cpp guide, then start the server:
- Install llama.cpp using the instructions in the guide for your system (for example
brew install llama.cppon macOS) - Download a model in GGUF format, for example from Hugging Face
- Start the server:
llama-server -m path/to/model.gguf --port 8080 - In Hermes, choose a custom / local endpoint and paste
http://localhost:8080/v1
FAQ
Frequently Asked Questions
Do I have to pay for anything?
No. You can do the whole workshop for free using OpenCode and a local model through Ollama. Paid providers are faster and smarter, and a few dollars of API credit is enough for the workshop.
I have ChatGPT Plus / Claude Pro. Is that enough for Hermes?
Not for Hermes itself, which needs API access, billed separately. Your subscription does work for the chatbot (Step 3) and for Claude Code or Codex (Step 4).
Desktop app or terminal?
Either. They do the same thing. We'll mostly show desktop apps. Use the terminal only if you're comfortable with it.
Do I need a powerful computer or a GPU?
Only if you want to run local models (Step 5). With a cloud provider, any normal laptop is fine.
The local model is really slow. What should I do?
Try a smaller model, close other heavy apps, or switch to a cloud provider for the workshop. Local models depend entirely on your hardware.
Your checklist
Tick these off and you're ready.
The first four are the ones that matter. If you've got those, you'll be able to build along on the day.
See you at the workshop!

