@adamstewartmarketing: Most people build AI agents backwards. They start with the flashy part. The agent that works while you sleep. But the agent is only as good as the memory underneath it. That is why the real stack is: 1. Obsidian for the knowledge base 2. Claude Code to build and maintain the LLM Wiki 3. Hermes to run repeatable work from that memory The wiki comes first. You drop sources into a raw folder. Claude Code reads them, summarises them, links them to related pages, and keeps the system updated. Then Obsidian turns that knowledge into a connected graph. Only after that do you add the agent. Because now it is not just guessing from scattered files. It is working from a living memory system that gets sharper every time you add something new. Build the memory first. Then let the agent run on top of it.