Agentic AI Hermes Advanced Setup (Use Cases & Dashboard)
You will leave with a Hermes dashboard configured, and an agent sandboxed with scoped permissions.
This session is about fixing what breaks once it is published: skills that do not trigger, permissions that are too broad, models picked by agents that run all night.
5 things we'll cover
1. Hermes Agent
Dashboard setup end to end, including the parts people skip: MCP catalog, credentials, memory, gateway controls
Channels: Telegram and Discord
Model comparison: which model for which job, what each costs per run, and when a cheap model with a better prompt wins
2. Skills and permissions
AgentSkills: how they load, precedence order, and writing one the agent reuses unprompted
Installing from ClawHub safely: verifying third-party skills, and why every one is untrusted code
Tool permissions: scoping what the agent can touch before you grant access
3. Security
Exposing the dashboard is the mistake most people make. Password auth is for trusted networks only; anything remote needs OAuth or a VPN
Protecting keys, credentials and confidential data the agent can reach
Spotting manipulative instructions, and checking output before you rely on it
4. Better output
Structuring instructions so the agent stops guessing
One admin workflow end to end, trigger to output, unattended
When to use Hermes, advanced used cases (email filtering, task planning, delegation) and when agentic AI is the wrong call.
3 things to do before you arrive
We start at the dashboard. Installing in the room means spending the session catching up.
1. Install Hermes
macOS Linux WSL2:
curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash
Windows (PowerShell):
iex (irm https://hermes-agent.nousresearch.com/install.ps1)
2. Confirm the dashboard opens
hermes dashboard
It should load at http://127.0.0.1:9119. Docs: hermes-agent.nousresearch.com/docs
3. Sort out model access
An API key or an existing Claude/OpenAI subscription. Any provider works.
4 ways to run it, ranked
You are giving this agent real permissions and a budget. Decide how much of your machine it can reach.
1. Docker (recommended) Isolates the agent from your filesystem, so a bad instruction kills a container instead of your documents. Personal is free for individuals and small teams; organisations over 250 staff or $10M revenue need a paid tier, roughly $9 to $24 per user/month. (Docker pricing)
2. A virtual machine Strongest isolation, heavier to run. Worth it for testing skills you did not write.
3. A VPS The realistic choice for a Paperclip org running on a heartbeat. You handle sizing, monitoring, restarts and backups. Use OAuth on the dashboard, never a password.
4. Your bare laptop Fastest and least safe. Fine if you accept the agent can modify your real files. Use a throwaway account, not your daily one.
Not sure? Install Docker. We sandbox together in the first fifteen minutes.
Who this is for
Come if you:
Have run an agent already and hit the ceiling
Want to stop prompting one at a time and start running agents as a system that earns
Are ready to give an agent real permissions and want to do it safely
Skip it if: you have never installed an agent. This will move too fast.
Bring
A laptop, a charger, and one workflow you would hand to a junior hire tomorrow if you could afford one.
Questions before the day?