asakin

asakin / llm-context-base

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A git template for building your own LLM-powered personal wiki. Training period, metadata standard, lint system included. Clone and go.

ai claude karpathy knowledge-base knowledge-management
22
2
100% credibility
Found Apr 09, 2026 at 22 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
AI Summary

A ready-to-use folder template for a personal wiki that an AI assistant populates, organizes, and maintains through natural conversations.

How It Works

1
🔍 Discover the wiki template

You stumble upon this simple template for creating a personal knowledge wiki that an AI helper manages for you.

2
📋 Create your private copy

Click a button to make your own version of the template and keep it just for you.

3
📱 Open in your note app

Load your copy into a friendly note-taking app next to your AI chat window.

4
✏️ Share about yourself

Jot down a quick note about who you are and what you do to help your AI understand you.

5
🗣️ Start talking to your AI

Chat with your AI by saying things like 'capture this idea' or 'note our decision' – it saves everything effortlessly.

6
📂 Watch it sort and grow

Your AI quietly organizes your notes into helpful folders, keeping everything tidy as you add more.

🎉 Enjoy your smart wiki

Now you have a living knowledge base that answers questions, tracks projects, and adapts to your way of working.

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Star Growth

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AI-Generated Review

What is llm-context-base?

llm-context-base is a Git template repo you clone to spin up your own LLM-powered personal wiki, turning raw notes into a structured knowledge base that an AI maintains for you. It implements context based learning llm patterns inspired by Karpathy's wiki gist, adding metadata for quick scans, an inbox for frictionless capture, and a training phase where the LLM adapts to your workflow over 30 days. Point tools like Claude, Cursor, or Obsidian at it, chat commands like "capture this" or "lint the wiki," and it handles filing, querying, and cleanup—no upfront taxonomy design needed.

Why is it gaining traction?

Unlike bare Karpathy gists or generic note apps, this git template project bootstraps a full context based llm chatbot system with multi-LLM shims, scaling to hundreds of docs via queryable summaries and a 7-day inbox TTL that nudges organization without forcing it. Developers dig the self-maintaining lint for stale files and emergent structure from your chats, plus git-friendly hooks for commit messages that preserve AI-learned patterns. It's a git github tutorial in action for context engineering in llm based agents, solving git github repo sprawl in one clone.

Who should use this?

Solo founders tracking decisions and processes, engineering leads building team handoffs, or indie devs ditching scattered Markdown for a queryable brain. Ideal if you're wrestling git github authentication issues across tools or want a git template directory for onboarding rituals, deployment notes, and initiative tracking without Obsidian plugins from scratch.

Verdict

Clone it if you live in AI chats and need a personal wiki that grows with you—docs are thorough, Apache 2.0 licensed, but at 22 stars and 1.0% credibility, it's early-stage niche; test on a side git github desktop repo first before betting the farm.

(198 words)

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