CF

Hermes Agent 101: Persistent Agents, Memory, Skills, and Real Workflows

2h 12m 23s
English
Paid
Added to CourseFlix

Hermes Agent 101: Persistent Agents, Memory, Skills, and Real Workflows is a 1-lesson 2 hours 12 minutes self-paced course by Youssef Hosni. Most AI-assistants still operate within individual sessions.

Course facts

Lessons
1
Duration
2 hours 12 minutes
Language
English
Added to CourseFlix
October 2026
Instructor
Youssef Hosni
Price
Premium

Most AI-assistants still operate within individual sessions. You provide them with context, receive a result, and once the session ends, a significant portion of the work context is lost. Next time, you have to explain the project structure, necessary commands, your preferences, work process, and limitations all over again.

Hermes Agent offers a different approach.

Instead of a temporary chat window, Hermes allows for the creation of permanent AI agents with their own identity, memory, skills, profiles, messaging interfaces, and scheduled tasks. This enables the agent to become more useful as it is repeatedly used in real work processes.

This is a practical introductory course to the Hermes Agent by Nous Research. It includes a 3-hour practical video course and a 150-page accompanying guide that covers key concepts, installation, setup, and real usage scenarios step-by-step.

What You Will Learn

After completing the course, you will understand how the Hermes Agent is structured and how to apply it to real development and research tasks.

You will learn to:

  • Install and configure Hermes Agent.
  • Understand the basic concept and architecture of Hermes.
  • Use SOUL.md to define the identity and behavior of the agent.
  • Add useful memory without turning it into an uncontrolled information storage.
  • Create profiles for different roles and work scenarios of the agent.
  • Create skills for describing and automating repeatable work processes.
  • Work with Curator and understand how Hermes helps maintain skills in a manageable state.
  • Understand the concepts of autonomous agent evolution in the GEPA style.
  • Connect Hermes to Telegram and use it in messaging exchange workflows.
  • Use Hermes as an AI assistant for programming.
  • Use Hermes as a research agent.
  • Schedule regular tasks with Hermes cron.
  • Determine what information should be stored in memory, turned into a skill, or left only within the current session.
  • Avoid common mistakes when creating and operating permanent AI agents.

What Is Included in the Course

1. 2-Hour Practical Video Course

A complete recording of a practical session where Hermes Agent is explained from scratch: from the basic concepts and setup to agent configuration and creation of real work processes.

2. 150-Page Accompanying Guide

Included is a detailed 150-page guide on Hermes Agent 101, based on the course materials.

It systematically covers concepts, commands, examples, diagrams, and practical scenarios, allowing you to return to the material after watching the video.

3. Practical Examples of Workflows

The course goes beyond theory. Practical examples demonstrate how Hermes can be used in various scenarios:

  • AI assistant developer profile;
  • Research agent profile;
  • Memory setup;
  • Skill creation;
  • Integration with Telegram;
  • Automatic results sending on schedule;
  • Programming workflow;
  • Research workflow;
  • Cron automation.

Course Materials

You will receive:

  • 2-hour video course;
  • 150-page accompanying guide;
  • Installation and setup instructions;
  • Practical command examples;
  • Memory organization examples;
  • SOUL.md examples;
  • Skill examples;
  • Profile and workflow examples;
  • Scenario for using Hermes as a developer AI assistant;
  • Scenario for using Hermes as a research agent;
  • Cron automation examples;
  • Recommendations for effective use and system limitations.

What You Will Be Able to Create After the Course

After completing the course, you will be able to assemble your own basic system on Hermes, which includes:

  • A working installation of Hermes Agent;
  • A specialized agent profile;
  • Properly configured SOUL.md;
  • Structured and useful memory;
  • One or several practical skills;
  • Assistant integration with Telegram;
  • Automated workflow using cron;
  • A work process for programming or research that can be gradually improved.

The goal of the course is not to achieve complete autonomy at any cost. Instead, you will learn to create a permanent, controllable, and understandable AI agent that can be gradually expanded by adding memory, skills, integrations, and automation as needed.

Who teaches Hermes Agent 101: Persistent Agents, Memory, Skills, and Real Workflows? Youssef Hosni

Youssef Hosni thumbnail

Youssef Hosni — AI Engineer, Data Scientist, and Applied Scientist, a researcher in the field of machine learning and AI. He is currently affiliated with Aalto University in Finland, where he works on the application of AI agents and ML, as well as the development of AI products. On GitHub, he describes himself as “AI Engineer & Applied Scientist | PhD Researcher @AaltoUniversity”.

In his professional description, it is also noted that he works as a Senior Data Scientist at Ment, where he is involved in implementing Generative AI features into the company's products. Previously, he was engaged in research in the field of Deep Learning and Computer Vision, including applications to medical images.

His specialization aligns well with the courses he is currently offering:

  • Data Science and Machine Learning
  • Generative AI and LLM
  • AI Agents
  • RAG and Agentic RAG
  • Prompt Engineering
  • LangChain
  • Claude Code
  • AI Engineering
  • Python
  • Docker
  • Time Series Analysis
  • Computer Vision
  • technical training and preparation for AI/Data Science interviews

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Frequently asked questions

How much technical experience should I have before starting?
You'll be working through installation, configuration, and workflows aimed at development and research, so some comfort with technical setup will help. You don't need to arrive with an existing Hermes agent: getting it installed and configured is part of the course. No formal prerequisites are specified, though, so don't assume it's designed to teach programming or basic computer skills alongside the agent setup.
What will I actually set up and practice?
You'll practice configuring a persistent agent rather than just writing prompts for a single conversation. That includes defining its behavior with SOUL.md, adding useful memory, creating profiles for different roles, and creating skills for repeatable work. The practical focus is on applying those pieces to development and research tasks. There's no specific finished app or capstone project promised, so think of this as setting up working agent workflows.
Is this useful if I'm already using AI assistants every day?
It could be, especially if you keep re-explaining the same project context, preferences, or working rules whenever you start a new conversation. The focus here is on giving an agent continuity through identity, memory, profiles, and reusable skills. If you're happy with occasional one-off questions and answers, that may be more setup than you need. It's a closer fit if you want an assistant involved in recurring development or research work.
Is this an introduction, or does it get into advanced agent engineering?
Expect a practical introduction to how Hermes is organized and used, with installation and setup included rather than assumed. You'll work with identity, memory, role profiles, and reusable skills, which takes the course beyond a basic chat demonstration. It's still positioned as an introductory course, though. If you're looking specifically for advanced agent engineering, the available details don't establish that level of coverage.
How does it handle giving an agent different roles and consistent behavior?
You'll use SOUL.md to define the agent's identity and behavior, then work with profiles for different roles or situations. Memory is another part of the setup, with attention to keeping it useful rather than letting it become an indiscriminate store of information. Those are distinct pieces: behavior defines how the agent should act, profiles support different working contexts, and memory helps preserve relevant information between sessions.
How much time should I set aside, including the reading?
The listed video runtime is 2 hours and 12 minutes, and there's a 150-page accompanying guide. You'll want extra time if you plan to install Hermes, adjust its configuration, and try the workflows as you go. No separate estimate is provided for the reading or hands-on work, so treat the video runtime as viewing time rather than a realistic total for completing everything.
Will any of this help me work with agents outside Hermes?
The hands-on setup is specific to Hermes, but you'll also be thinking about broader problems: what an agent should remember, how to define its behavior, when different roles need different profiles, and how to turn repeated work into reusable skills. Those ideas can help you evaluate other agent systems. Don't expect the exact configuration files or skills to work elsewhere unchanged; cross-platform compatibility isn't established here.