Hermes Agent: Build a Self-Improving AI Agent

Hermes Agent: Build a Self-Improving AI Agent
.MP4, AVC, 1920x1080, 30 fps | English, AAC, 2 Ch | 6h 3m | 6.51 GB
Instructor: Arnold Oberleiter

• Learn how to install, run, customize, extend, and use Hermes Agent in real AI agent workflows
  
• Hermes Agent Foundations: Understand what Hermes Agent is, how the harness architecture works, and why it matters for open-source AI agents
  
• Installation & Setup: Install Hermes locally, on a VPS, in Docker, or on Windows with WSL2 Ubuntu
  
• LLM & Telegram Setup: Configure language models, connect Telegram, and prepare Hermes for real remote-control workflows
  
• Hermes Commands & Dashboard: Use basic Hermes commands, switch models, manage sessions, and work with the Hermes dashboard
  
• Browser Automation: Test Hermes with tools and browser automation to understand how agents interact with external systems
  
• Agent Onboarding: Configure your agent with user file and teach Hermes important context about you, your work, and your workflows
  
• Memory & Personality: Manage user file, memory, and soul file to create a more personalized AI assistant
  
• Context Management: Save tokens, manage sessions, and understand how Hermes handles context in longer workflows
  
• Skills System: Understand how Hermes skills work and how they allow your agent to perform reusable tasks
  
• Custom Hermes Skills: Build your own skills and extend Hermes with custom capabilities
  
• Self-Improving Skills: Create Hermes skills that can improve over time through research, feedback, and iteration
  
• Slash Commands & Permissions: Use Hermes slash commands, reasoning options, and permissions safely in real projects
  
• Cron Jobs & Scheduled Tasks: Automate recurring work with Hermes using cron jobs and scheduled agent workflows
  
• Voice Mode: Enable speech input and output to interact with Hermes through voice with Elevenlabs
  
• Manage server files with VS Code and SSH while working with Hermes on a remote machine
  
• MCP Integration: Connect Hermes Agent to external tools and systems using the Model Context Protocol
  
• Supabase & SQL Workflows: Build an MCP server example with Supabase and SQL for database-connected agent workflows
  
• Plugins: Bundle skills, tools, hooks, and CLIs into reusable Hermes plugins
  
• Hooks & Logging: Use hooks to automate workflows, trigger actions, and create better logging for your agent
  
• CLI Integration: Connect Hermes to command-line tools like the GitHub CLI for more powerful developer workflows
  
• ComfyUI Automation: Use Hermes skills to automate and manage ComfyUI workflows
  
• RL Training & LoRA Creation: Understand how Hermes can be used in reinforcement learning workflows and LoRA creation
  
• Subagents & Parallel Agents: Use subagents, multi-agent delegation, and parallel agent workflows for more complex tasks
  
• Kanban-Based Agent Workflows: Organize and delegate work with Kanban boards and agent task management
  
• Hermes for Coding: Monitor repositories, delegate coding tasks, and connect Hermes with Claude Code, Codex, and Claude Design
  
• Hermes for Video Editing: See how Hermes can support video editing workflows, including how an agent helped edit this course
  
• Email & Calendar Automation: Manage emails, calendar workflows, and thousands of apps using the Zapier MCP
  
• Smart Home Automation: Use Hermes as a smart home assistant to control devices, cameras, and automations
  
• Obsidian & LLM Wiki: Build knowledge workflows with Obsidian, Claude Code, Hermes Agent, and RAG-style databases
  
• Local Models with Ollama: Connect Hermes to local models using Ollama for more private and flexible AI workflows
  
• Real AI Agent Use Cases: Apply Hermes to fitness, nutrition, research, coding, automation, personal assistance, and creative workflows
  
• AI Agent Security: Understand jailbreaks, prompt injections, tool poisoning, MCP rug pulls, and hidden risks in agentic systems
  
• Permissions & Safe Usage: Learn how to think about safety when giving AI agents access to files, tools, APIs, terminals, and external systems
  
• OpenClaw-Style Agent Workflows: Build and run Hermes workflows similar in spirit to OpenClaw, but with your own setup and tools
  

• Basic understanding of AI, APIs, Tokens, and a willingness to use the Command Line (Terminal) is required.
  

• locally on Mac, Linux, or Windows with WSL2
  
• on a VPS server
  
• inside a Docker container
  
• on a separate device or sandbox environment
  

• installation options and setup workflows
  
• VPS setup with Docker
  
• Windows setup with WSL2 Ubuntu
  
• local installation on Mac, Linux, and Windows
  
• basic Hermes commands
  
• model switching
  
• dashboard usage
  
• documentation structure
  
• the Hermes harness and agent architecture
  

• how Hermes uses tools
  
• how skills work
  
• how to manage permissions
  
• how slash commands work
  
• how to run scheduled tasks with cron jobs
  
• how to enable voice input and output
  
• how to use Hermes as a more personal AI assistant
  

• custom Hermes skills
  
• self-improving skills
  
• ComfyUI automation
  
• MCP server integration
  
• Supabase and SQL
  
• plugins
  
• hooks
  
• CLI integrations
  
• GitHub CLI
  
• reinforcement learning
  
• LoRA creation
  

• Hermes as a personal assistant
  
• Hermes for video editing workflows
  
• Hermes for email and calendar automation
  
• Hermes with Zapier MCP and thousands of apps
  
• Hermes as a smart home assistant
  
• Hermes for coding and repo monitoring
  
• Hermes with Claude Code, Codex, and Claude Design
  
• subagents and multi-agent delegation
  
• Kanban-based task management
  
• Obsidian and LLM wiki workflows
  
• RAG-style knowledge databases
  
• local models with Ollama
  

• Anyone who wants to stop using AI only as a chat window and start building practical open-source AI agents with Hermes Agent
  
• AI Builders & Automation Creators who want to build real AI agent workflows instead of only using AI as a chatbot
  
• Developers & Technical Freelancers who want to run, customize, and extend open-source AI agents with tools, skills, MCP, CLIs, and automation
  
• Workflow Automation Experts who want to connect AI agents with apps, APIs, Telegram, Zapier MCP, databases, and real business workflows
  
• Open-Source AI Enthusiasts who want to understand Hermes Agent, OpenClaw-style agents, local models, Ollama, Docker, VPS setups, and self-hosted AI systems
  
• Content Creators & Knowledge Workers who want to use AI agents for research, video workflows, Obsidian knowledge systems, RAG, and personal productivity
  
• Solopreneurs & Indie Hackers who want to create their own digital AI assistant that can help with coding, automation, research, file management, and daily work
  
• Students & Beginners with technical curiosity who want to learn modern AI agent concepts step by step, from installation to advanced workflows