CoursesWyn/Development/Hermes Agent: Build a Self-Improving AI Agent
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Hermes Agent: Build a Self-Improving AI Agent

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 — $12.99 verified deal, Software Development Tools, last synced Jul 15.

$12.99$199.9994% OFF
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94% discount manually re-verified, not an estimate.
Certificate + lifetime access included by Udemy.
Redemption-limited — can run out without notice.

Price history First-party data

Tracked since May 19, 2026 to July 16, 2026. Red dot = current price ($12.99) — CoursesWyn records the price on each sync.
Current price
$12.99
Original price
$199.99
Tracked since
May 19, 2026
Last checked
Jul 16
Price and coupon status are recorded from a periodic sync of Udemy’s public catalog. This snapshot was taken on July 16, 2026. Prices are always confirmed at checkout on the provider’s site.

Deal score Computed, methodology below

8.6
/ 10
Discount depth
94%
Udemy rating
4.5 / 5
Popularity
1,366 students
Tracking length
86 days
Score = weighted average of discount depth, how often CoursesWyn re-checks this code, historical price volatility, and how fast past redemptions were claimed. Not an editorial opinion on the course itself.

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May 19, 2026Listed by CoursesWyn — price recorded at $12.99Listed
Jul 16, 2026Coupon checked — checkout price $12.99 · listed until Jul 17Working

Course details Synced from Udemy

Fields below are pulled from Udemy’s public catalog and recorded when CoursesWyn syncs — they are catalog data, not editorial description.
Last checkedJuly 16, 2026
LevelAll Levels
Content6 hours
LanguageEnglish
RequirementsBasic understanding of AI, APIs, Tokens, and a willingness to use the Command Line (Terminal) is required.
CertificateYes, on completion
AccessLifetime, mobile & TV

What you'll learn From the course description

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

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