Agent OS: Automate ANYTHING!

Author: Julian Goldie SEO - Bewertung: 10x - Views:111

Get the Agent OS 👉 https://www.skool.com/ai-profit-lab-7462/about



Want to make money and save time with AI? Join here: https://www.skool.com/ai-profit-lab-7462/about



Video notes + links to the tools 👉 https://www.skool.com/ai-profit-lab-7462/about



Get a FREE AI Course + Community + 1,000 AI Agents 👉 https://www.skool.com/ai-seo-with-julian-goldie-1553/about



Get a FREE AI SEO Strategy Session → https://go.juliangoldie.com/strategy-session?utm=julian



Get 200+ Free AI SEO Prompts → https://go.juliangoldie.com/chat-gpt-prompts



Get out SEO link building book here 👉 https://go.juliangoldie.com/opt-in?utm=julian



Build an Agent Operating System: Hermes vs OpenClaw, Local Models, Video Agents & Obsidian Memory



The video explains how to build an “agent operating system” that centralizes AI agents, tools, outputs, and memory in one dashboard so work stays organized and improves over time. It answers common builder questions: Hermes and OpenClaw don’t replace each other, but Hermes is recommended first because it’s smoother, less buggy, and includes goal-based workflows with a Kanban board; OpenClaw can be added later. For daily work, use the operating system (with agents reading and logging to an Obsidian vault), while Claude Code is better for deeply technical debugging or large system improvements. It shows how to reduce token costs by running local models via Ollama or LM Studio and highlights a free, self-run video agent using Hyperframe CLI. Finally, it covers tying everything together with an Obsidian memory system (optionally fed by OMI) so agents retain context and sound like you.



00:00 Build Your Agent OS

00:54 What Is An Agent OS

01:53 Hermes Vs OpenClaw

03:59 Do You Still Need Claude

05:50 Get The Full System

06:37 Run Local LLMs

07:38 Free Video Agent Setup

08:33 Obsidian Memory System

10:30 Wrap Up And Next Steps