Agent OS: Claude + Hermes AI = Superpowers!

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 Build a Local AI Agent OS (Claude + Hermes + OpenClaw) with Mission Control + Infinite Memory The video introduces Agent OS, a locally hosted “mission control” dashboard that connects and manages multiple AI agents (Claude, Hermes, OpenClaw/OpenClaude) in one operating-system-like interface with chat, session history, agent status, control rooms, skills/plugins, Kanban integration, and analytics. The presenter shows that the system logs every conversation across agents into an Obsidian-based memory layer containing goals, journals, and a personal knowledge base, enabling agents to retain context about the user and business and improve over time. They explain how they built the dashboard in one session by prompting Claude (using a stack like Next.js and Tailwind and a Claude CLI bridge), argue local-first is more private and usable than terminal workflows, and outline a four-layer “Goldie Mission Stack”: intelligence (Claude), execution (OpenClaw), research/orchestration (Hermes), and self (Obsidian). The episode also references community resources, prompts, a 30-day roadmap, and answers setup and architecture questions. 00:00 Agent OS Superpowers 01:26 Mission Control Tour 03:52 Terminal vs Dashboard 04:29 Building It With Claude 06:05 Obsidian Memory Vault 09:02 Automation From Context 11:15 New Features and Journals 13:31 Why Agentic OS Matters 15:28 Four Layer Mission Stack 18:04 Goals Journals Memory 19:15 Mission Operator Mindset 19:39 System Beats Tools 20:14 Simple Dashboard Control 20:37 Context