Automate Anything with Hermes AI Agents, Here's How...
This tutorial demonstrates how to use Hermes AI agent for free automation, showing it as a superior alternative to OpenClaw. The presenter covers installation via GitHub, using Quen 3.6 API through OpenRouter, and building automations for social media posting, web research, analytics, and content creation.
Summary
The video provides a comprehensive guide to using Hermes AI agent for automation tasks. The presenter begins by explaining how to install Hermes for free using GitHub and connect it to Quen 3.6 Plus Preview through OpenRouter's free API. He emphasizes that Hermes is designed specifically for agent use and represents the future direction of AI models.
Throughout the tutorial, the presenter demonstrates multiple real-world automations he has built, including automated posting to X/Twitter with custom images, Reddit research for trending topics using Firecrawl, daily analytics breakdowns, competitive research, and cross-platform social media posting to TikTok and Instagram. He shows how Hermes can compound skills together - for example, combining web research, image generation with Nana Banana 2, and social media posting into a single automated workflow.
A key theme is Hermes' self-improving architecture through its closed learning loop system. Unlike OpenClaw, which the presenter claims gets worse over time, Hermes writes notes in skill.MD files and improves with each use based on user feedback. The presenter provides practical tips for troubleshooting, including how to handle context overflow issues and restart sessions in both terminal and Telegram.
The tutorial covers advanced integrations like BrowserBase for web browsing with visual recording capabilities, Paperclip for managing multiple AI agents in hierarchical structures, and various scheduling options for autonomous task execution. The presenter concludes by offering access to his custom skills and additional training through his AI Profit Boardroom community.
Key Insights
- The presenter argues that Hermes has completely replaced OpenClaw in his workflow and claims it's the most autonomous AI agent he's ever used, despite being only version 0.6
- The presenter states that all frontier AI models are now being designed specifically for agent use rather than traditional API calls, marking a fundamental shift in AI development
- He explains that Hermes requires significant training initially, warning users to expect poor performance for the first seven days but emphasizing it improves daily through its self-learning feedback loop
- The presenter claims that OpenClaw gets worse over time and breaks frequently, citing user complaints about the 4.1 update making it 'pretty much unusable', unlike Hermes which continuously improves
- He describes Hermes' unique architecture featuring autonomous skill creation and closed learning loops, where it writes notes on mistakes and improvements in skill.MD files to enhance future performance
Topics
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