Agentic AI Hermes Advanced Setup (Use Cases & Dashboard)

Oct 14, 2026 3:30 AMSubang Jaya, Malaysia

About this event

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. Community partner: Build Club, the world's most collaborative AI community.

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?