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Running Hermes on a VPS? Here's exactly how to connect it to Agent OS, link multiple devices with Tailscale, and sync Hermes Desktop — all in one clean walkthrough.00:00 Intro – Setting up Agent OS on a Hermes VPS00:25 Agent OS Setup – Ask your agent to connect it01:11 Multi-Device Access – Using Tailscale (free, ~10 min)02:01 Hermes Desktop + VPS – Connect via Hermes Cloud02:43 Manage Gateways – Linking Hermes Cloud in settings03:13 Agent OS vs Hermes Cloud – Why Agent OS is more flexible
Why does running Agent OS locally beat VPS hosting? This Q&A breaks down agent harness picks (Hermes vs Claude Code vs DeepSeek), the Obsidian memory system that gives every AI agent instant context, and how a single custom Agent OS grew into a full toolkit — straight from real user questions.00:00 Intro – Live AI agent Q&A begins00:14 VPS vs Local – why local hosting wins for Agent OS security02:46 Best Harness – Hermes vs Claude Code vs DeepSeek compared03:57 Design Workflows – custom image tools vs ChatGPT04:53 Obsidian Setup – the infinite context engine explained08:31 Hermes vs OpenClaw – why a custom Agent OS wins09:45 Building Agent OS – from side project to full toolkit11:21 Real or AI? – confirming it's a real person
Grokbot AI Masterclass: Build Your Own AI Agent TeamUnlock the full potential of Grokbot AI to build, manage, and automate a team of digital employees that handle your inbox and calendar. This complete guide walks you through setting up roles, automating routines, and teaching bots new skills through screen recordings.
Deepseek Harness Full Course: Free AI Employee, Custom Plugins & Agentic Operating SystemsThis course walks through Deepseek's brand new open-source AI harness, released August 13th as an MIT-licensed alternative to Claude Code and Codex. It covers installing the tool in under five minutes, connecting a free brain via OpenRouter or OpenCode, and setting up a clean workspace for real tasks. It then explores the "everything is a plugin" architecture, including Creator Mode for building custom tools by simply describing them, the trajectory view for full transparency into every agent action, and how MCP and agents.md files let it share context with other agents. It closes by building a full agentic operating system with Obsidian as shared memory, running multiple agents in parallel, and plugging free models directly into the dashboard.
GLM 5.3 Full Course: Build & Automate Anything with AIMaster GLM 5.3, the powerful AI model designed for long-horizon tasks and professional automation. Learn how to build websites, mobile apps, and scheduled workflows using unique features like Goal Mode and Obsidian memory integration.
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