AI Tools Review

Hermes Agent OS Just Changed AI Agents Forever!

Julian Goldie SEOAugust 6, 202610:00

Get the Agent OS Masterclass 👉 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 Hermes Agent OS: One Dashboard for Chat, Voice, Tasks & Memory (Goal Mode + Free Models) This episode explains the Hermes Agent OS “Command Desk,” a single dashboard that unifies chat, a voice assistant, a Kanban job board, scheduled tasks, and a shared memory system to solve the “scattered agent problem” of multiple disconnected AI tabs with no context. It shows how agents can be dispatched from tickets, monitored in the dashboard, and synced to an Obsidian vault so any model (e.g., Claude Code, Muse Spark, Qwen 3.8) can pull the same memory. The script highlights Goal Mode for running a single objective autonomously for hours, easy model swapping via the Manage tab, competitor and keyword monitoring (Hermes Oracle and Astros) via cron jobs, and guardrails for risky actions. It also notes one-click zip-file installation and using free/local models to reduce token costs, plus access to the system and tutorials through the AI Profit Boardroom community. 00:00 Hermes Agent OS Intro 00:50 Scattered Agent Problem 01:30 Command Desk Tour 02:24 Shared Memory Obsidian 03:11 Goal Mode Autonomy 03:47 Kanban Tasks Workflow 03:58 Model Switching Manager 05:43 Old Way vs New Way 06:30 Plug In New Models 06:53 Automation Guardrails Setup 08:11 Free Local Models Tokens 08:50 Extra Tools Customization 09:14 Community Training Wrap Up

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