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Build Your Own AI Agent Operating System: Scheduling, QA Judges, Obsidian Memory & Team Workflows (Hermes, Claude, Paperclip)
The video answers common questions about building an “agent operating system” where teams of AI agents collaborate using tools like Hermes, Claude, Obsidian, and Kanban boards. It explains how to give an agent long-term ownership of tasks (e.g., ongoing SEO) via scheduled cron jobs managed in one place, and recommends Claude over Hermes for heavier coding work while noting model/API choice affects performance. For quality control and reliable handoffs, it demonstrates adding a dedicated “judge” agent that critiques, scores output, and forces iteration until standards are met. It compares workflows across OpenClaw, Hermes (native Kanban for teams), and Paperclip (multi-tool, company-style orchestration), and argues that adding memory/context through Obsidian improves coordination and creates an auto-updated second brain. It also covers Windows options for an “infinite context engine,” and showcases a custom voice agent example, then directs viewers to the AI Profit Boardroom for the full setup and training.
00:00 Agent OS Overview
01:04 Long Running Tasks
02:56 Coding Model Choices
04:18 Quality Control Judge
07:00 Benchmarking Free vs Paid
07:48 Managing Agent Teams
10:11 Obsidian Memory Vault
11:19 Infinite Context Windows
13:00 Voice Agent Showcase
14:09 Community Setup Wrap Up
The video answers common questions about building an “agent operating system” where teams of AI agents collaborate using tools like Hermes, Claude, Obsidian, and Kanban boards. It explains how to give an agent long-term ownership of tasks (e.g., ongoing SEO) via scheduled cron jobs managed in one place, and recommends Claude over Hermes for heavier coding work while noting model/API choice affects performance. For quality control and reliable handoffs, it demonstrates adding a dedicated “judge” agent that critiques, scores output, and forces iteration until standards are met. It compares workflows across OpenClaw, Hermes (native Kanban for teams), and Paperclip (multi-tool, company-style orchestration), and argues that adding memory/context through Obsidian improves coordination and creates an auto-updated second brain. It also covers Windows options for an “infinite context engine,” and showcases a custom voice agent example, then directs viewers to the AI Profit Boardroom for the full setup and training.
00:00 Agent OS Overview
01:04 Long Running Tasks
02:56 Coding Model Choices
04:18 Quality Control Judge
07:00 Benchmarking Free vs Paid
07:48 Managing Agent Teams
10:11 Obsidian Memory Vault
11:19 Infinite Context Windows
13:00 Voice Agent Showcase
14:09 Community Setup Wrap Up
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