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by bashiraziz · Agent Tool · ★ 50
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LLM Wiki Template A personal knowledge base that compounds over time — maintained entirely by an LLM agent. Inspired by Andrej Karpathy's LLM Wiki pattern (April 2026). Implementation by Bashir Aziz · 2026. The idea in one paragraph Most people use LLMs like a search engine — ask a question, get an answer, move on. Nothing accumulates. This template gives your LLM agent a persistent wiki: a directory of markdown files it reads, writes, and cross-references across every session. When you add a new source, the agent doesn't just answer a question — it updates entity pages, revises concept summaries, flags contradictions, and files the knowledge permanently. Every session makes the wiki richer. Every question you ask can become a new wiki page. The knowledge compounds instead of evaporating. How it works ┌─────────────────────────────────────────────────────────┐ │ YOU │ │ source documents · questions · direction │ └──────────────────────────┬──────────────────────────────┘ │ ▼ ┌─────────────────────────────────────────────────────────┐ │ LLM AGENT │ │ reads · writes · cross-references · maintains │ └──────────┬────────────────────────────┬─────────────────┘ │
| Stars | 50 |
| Forks | 11 |
| Language | Python |
| Category | Agent Tool |
| Quality Score | 69.371319089726/100 |
| Last Updated | 2026-04-25 |
| Created | 2026-04-04 |
| Platforms | python |
| Est. Tokens | ~10k |
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llm-wiki-template is A reusable template for building personal LLM-maintained knowledge bases. Implements Karpathy's LLM Wiki pattern.. It is categorized as a Agent Tool with 50 GitHub stars.
llm-wiki-template is primarily written in Python. It covers topics such as ai-tools, markdown, obsidian.
You can find installation instructions and usage details in the llm-wiki-template GitHub repository at github.com/bashiraziz/llm-wiki-template. The project has 50 stars and 11 forks, indicating an active community.
The top alternatives to llm-wiki-template on Agent Skills Hub include jarvis-dashboard, obsidian-md2wechat, claude-code-obsidian-starter. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.