Serendipitously, @jeremyruston’s post about the Karpathy-style LLM Wiki coincided with work that I was doing along the same line. I thought it might be helpful to document my experience with the LLM-Wiki over the coming weeks, by posting updates and weekly snapshots of the “Second Brain.”
Week 1: https://secondbrain-week1.tiddlyhost.com
My Setup: MCP server connected to Claude Desktop and pointed at my MWS server.
Rather than designing this demo page, I decided to focus on actually using it as a second brain database and let the Wiki design the guided tour itself:
Claude’s training makes it want to be transparent about what it is and it chose and wrote the Guided Path with talk.tiddlywiki as context.
You’ll see it is calling its environment “NoteStreams” – that’s because it thinks it’s in my primary wiki.
Instead I have it partitioned in a set of agent-enabled bags in my MWS setup, which I view through a “Wiki-Live-View” Recipe.
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As part of the experiment I’ll be letting Claude manage updating the technical documentation in the wiki itself:
As you can see in the above example, the agent is first checking the knowledge base and identifying an already existing walkthrough – then updating that with the new information.
You can see in the above that the wiki has generated a wealth of logs for itself that it can access via regular or vector search.
Since I have recently finished Before the Dawn by Toson Shimazaki , it was natural to pull in all my extracted notes and begin having conversations about my reflections (please don’t judge my bad interpretations of this work if you’re familiar with it)
This book is quite long, about 1300 pages and I acquired over 100 quotes from the novel while reading it – so this has been especially useful not only for reflection but for finding quotes that support or contradict my observations. I think this could be especially useful for building out and strengthening academic arguments, but I would recommend especially strict guardrails so the agent doesn’t delude itself into seeing connections that aren’t really there.
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