Hermes Agent: Build a Self-Improving AI Agent

About this course

Hermes Agent: Build a Self-Improving Open-Source AI AgentHermes is an open-source AI agent that grows with you. Similar in spirit to OpenClaw, it can run on your computer or server, use tools, execute commands, automate workflows, manage memory, connect to external apps, and work with systems like Telegram, MCP, Ollama, Supabase, GitHub, Claude Code, Codex, ComfyUI, Obsidian, and more.

In this course, you will learn how to install Hermes, configure it, extend it with skills, connect it to tools, automate real workflows, and build self-improving agent systems that can support you in research, coding, productivity, content creation, and personal automation.

This is not a course about simple prompting tricks.

It is a practical, project-based course for people who want to understand how modern AI agents actually work — including tools, skills, memory, permissions, plugins, hooks, MCP servers, local models, subagents, scheduled tasks, and security.

What You Will Build and Learn

The course starts from zero.

First, you will learn what Hermes Agent is, how the harness works, how the architecture is structured, and why Hermes is different from a normal chatbot.

Then you will install Hermes in different ways:locally on Mac, Linux, or Windows with WSL2on a VPS serverinside a Docker containeron a separate device or sandbox environment

You will configure LLMs, connect Telegram, use the Hermes dashboard, switch models, run basic commands, and understand how to work with Hermes in a real setup.

Hermes Agent Foundations

You will learn the core concepts behind Hermes Agent:installation options and setup workflowsVPS setup with DockerWindows setup with WSL2 Ubuntulocal installation on Mac, Linux, and Windows

Prices, discounts and availability are set by Udemy. We may earn a commission when you purchase through links on this site.