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Hermes Agent: From Install to Advanced Automation
Rating: 4.2 out of 5(10 ratings)
150 students

Hermes Agent: From Install to Advanced Automation

Install, configure, and automate with the Hermes AI agent — CLI, skills, memory, multi-agent workflows & more.
Created byStuart Wesselby
Last updated 7/2026
English
English [Auto],

What you'll learn

  • Install and configure Hermes Agent from scratch on macOS, Linux, or Windows/WSL, and connect it to any major LLM provider
  • Operate Hermes confidently day-to-day — managing sessions, context, toolsets, and slash commands to control exactly how the agent reasons and responds.
  • Extend the agent's capabilities using skills and memory — teaching Hermes new reusable workflows and enabling it to recall context across sessions.
  • Deploy and automate Hermes beyond the terminal — running it as a Gateway across Telegram, Discord, Slack, and other platforms, and triggering it with cron jobs
  • Build multi-agent and secure production workflows — using delegation, subagents, profiles, and the Kanban board, while applying approval modes.
  • Extend and maintain Hermes as a developer — building custom tools, commands, and plugins, troubleshooting common issues, and keeping the installation up to date

Course content

15 sections • 58 lectures • 6h 41m total length
  • Course Introduction3:31

Requirements

  • No experience of Hermes required

Description

“This course contains the use of artificial intelligence.”


Want to install, master, and automate your own AI agent — instead of just talking to a chatbot? Hermes Agent is a self-improving, provider-agnostic AI agent that runs from your terminal, your desktop, and even your favourite messaging apps. This complete, hands-on course takes you from a blank terminal to running advanced multi-agent automation pipelines — no prior AI agent experience required.


Whether you're a developer, IT professional, automation enthusiast, or AI power user, this course teaches you everything you need to install Hermes Agent, connect it to any LLM provider (Anthropic, OpenAI, DeepSeek, OpenRouter, Nous Portal, or local models), and put it to work automating real tasks — from coding and research to system administration and scheduled jobs.


Across 14 modules and 63 lessons (~6+ hours), you'll go step by step from a first-time install through advanced developer topics like building custom tools, plugins, and MCP servers. You'll learn how Hermes's agent loop, skills system, and persistent memory work together to create an AI agent that actually improves the more you use it — and how to deploy it as a Gateway across Telegram, Discord, Slack, and 20+ other platforms without losing any capability.

Each module has its own set of resources to help you grasp processes and commands and a quiz to test your knowledge.

By the end of this course, you'll be able to configure, secure, automate, and even extend your own Hermes Agent installation with confidence — turning it into a genuine AI teammate for your daily workflow.

What You'll Learn

  • Install Hermes Agent on macOS, Linux, or Windows/WSL and connect it to any major LLM provider

  • Understand the agent loop, sessions, context management, and toolsets that power Hermes

  • Use skills as procedural memory to give Hermes new, reusable capabilities

  • Configure persistent memory so Hermes recalls context across sessions

  • Deploy the Hermes Gateway to chat with your agent from Telegram, Discord, Slack, email, SMS, and more

  • Automate recurring work with cron jobs, webhooks, and real-world automation patterns

  • Build multi-agent workflows using delegation, subagents, profiles, and the Kanban board

  • Add voice input/output and vision/image generation to your agent

  • Lock down your installation with approval modes, secret redaction, PII protection, and the Tirith policy engine

  • Diagnose and fix common issues, and keep Hermes updated and running smoothly

  • Extend Hermes as a developer — build custom tools, slash commands, plugins, and publish your own skills

This Course Includes

  • 6 + hours of on-demand, step-by-step video lessons

  • 14 modules covering installation through advanced automation and multi-agent workflows

  • 63 focused lessons you can complete in order or use as an ongoing reference

  • Real, practical CLI commands, config examples, and automation patterns you can apply immediately

  • Coverage from complete beginner setup to advanced developer topics (custom tools, plugins, MCP servers)

Who This Course Is For

  • Developers and technical professionals who want a fully-featured, terminal-based AI agent instead of a simple chatbot

  • Automation enthusiasts who want to schedule, trigger, and chain AI-powered tasks with cron jobs and webhooks

  • IT admins and power users who want an AI assistant available across Slack, Discord, Telegram, and other platforms

  • Anyone curious about multi-agent systems, AI memory, AI skills, and self-improving AI workflows

  • Software engineers who want to extend an AI agent with custom tools, commands, and plugins

Requirements

  • A computer running macOS, Linux, or Windows (with WSL)

  • Basic comfort using a command-line terminal

  • An API key or account with at least one supported LLM provider (Anthropic, OpenAI, DeepSeek, OpenRouter, or Nous Portal) — free/local model options are also covered

  • No prior experience with AI agents is required — this course starts from installation

Who this course is for:

  • Developers & software engineers
  • Automation & DevOps enthusiasts
  • IT admins & sysadmins
  • Remote teams & solopreneurs running messaging-based ops
  • AI power users & early adopters
  • Technical hobbyists & career switchers exploring AI tooling