How To Build LLM Wiki In Obsidian? 🧠 A Memory Layer For Any Agentic AI

Perfect. There we go. It just added all of these notes. Here is the new file I just added, and here are all of the concepts that have been extracted from it. AI is only as good as the information we give it, but information is only the beginning. We need a way to transform that raw information into knowledge that can be accessed by any AI tool forever. A separate brain that AI agents build and maintain automatically. A shared memory layer, one that gets smarter and better the more information and knowledge I give it. One that actually aligns with how I like to think. The LLM Wiki, a structured system that you can build once and then use forever. Hi, my name is Callum, also known as Wander Lutes, and welcome to today's video on how to set up the LLM Wiki, a shared memory layer for AI agents and yourself. I already explained the why LLM Wiki in the first video, so today we're going to focus more on how to actually build it and get it set up. I'll include some tips on how to enable advanced features like agentic firewalls between vaults and connecting a local model for free and private building. If you find this video helpful, please like, hype, and subscribe as I appreciate your support a lot, so thank you. Now, let's get started. First, let's take a look at what we're actually building today. This system has three layers to it. The sources, the Wiki, and the schema. The first layer is the raw layer, so this is the captured source material. This is what's going to be compiled into the Wiki, where we're going to extract topics, concepts, entities, projects, whatever it is you want. You can make this your own. And the key here is that all of this is organized by the schema and agentic layer, like the agents.md file, templates, skills, command docs, all things I'm going to get into in a little bit, and that instructs the agent on how to maintain the Wiki. And as new files are created in the Wiki, as the agent uses the schema to extract concepts from the raw material into the Wiki, the Wiki will cite the raw material. That way the raw material stays unchanged, the source is preserved, the Wiki is structured in a way that aligns with how you want for both humans and agents, and the schema is what keeps that alignment consistent.