Making an AI-maintained wiki run on a free local model: what actually worked
Article summary
Quick briefing — cleaned from the original RSS feed
I've been building MindBase — Karpathy's "LLM-maintained wiki" pattern as an app. You write notes and drop in sources; the AI maintains a persistent wiki (writes and updates actual markdown pages, not RAG). When I launched in July , you needed an AI editor and an API key to use it. The last three weeks were about removing both. Here's what I learned making the whole thing run on a free local model, with a real UI. 1. Small models can't chain tool calls — so stop asking them to My first…
1Key Takeaways
- I've been building MindBase — Karpathy's "LLM-maintained wiki" pattern as an app.
- You write notes and drop in sources; the AI maintains a persistent wiki (writes and updates actual markdown pages, not RAG).
- When I launched in July , you needed an AI editor and an API key to use it.
- The last three weeks were about removing both.
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — AI reports that i've been building MindBase — Karpathy's "LLM-maintained wiki" pattern as an app.
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