Hermes Agent: From Install To Advanced Automation

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, #forbidden#, 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.
Across14 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'sagent loop,skills system, andpersistent memory work together to create an AI agent that actually improves the more you use it - and how to deploy it as aGateway across Telegram, #forbidden#, 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, #forbidden#, 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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