How to Build Your Own Agent Operating System

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 a No-Code Agent Operating System (Mission Control for Your AI Agents) The episode shows how to build a non-technical “agent operating system” that acts as a mission control for multiple AI agents and workflows (SEO, video, text-to-speech, images) using tools like Claude, Hermes Agent, and open-source projects such as OpenJarvis. The presenter demonstrates plugging a CLI-based agent into a cleaner UI with features like a Kanban board, shared skills, optional memory via Obsidian, and local model support via Ollama, noting it can run locally or on a VPS. They outline a repeatable “loop method”: find an agent, ask Claude for a build recipe and downsides, order it to build (with bypass permissions), and verify it works—troubleshooting with screenshots if needed—highlighting that installation can take minutes (about six) and can be rolled back. 00:00 Build Your Agent OS 00:32 Why Mission Control Wins 00:46 Pick a GitHub Agent 00:56 Hermes Mission Control Demo 01:22 Local vs VPS Setup 01:43 Ask Claude for the Recipe 03:05 Install and Configure Jarvis 03:41 Avoid Overbuilding Workflows 04:34 New Models Plug In Fast 05:07 Test and Troubleshoot 05:52 Rollback and UI Benefits 06:17 The Loop Method Framework 07:14 No Code Needed Mindset 07:35 Get the Agent OS Pack