
Hermes Agent: From Install To Advanced Automation
Published 7/2026
Created by Stuart Wesselby
MP4 |
Video: h264, 1920x1080 |
Audio: AAC, 44.1 KHz, 2 Ch
Level: All
Levels |
Genre: eLearning |
Language: English |
Duration: 58 Lectures ( 6h 41m ) |
Size: 4.4 GB
Install, configure, and automate with the Hermes AI agent - CLI, skills, memory, multi-agent workflows & more.
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
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 & 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
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