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@harshitpadha/kb-wiki

v1.0.1

Published

Next-generation implementation of Karpathy's LLM Wiki with MCP and local semantic search.

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Links

Git

Maintainers

harshitpadhaharshitpadha

Keywords

mcpllmwikiknowledge-basesemantic-searchsqlite-vec

Readme

🧠 Knowledge Base Wiki

A next-generation implementation of the LLM Wiki concept proposed by Andrej Karpathy, designed to turn your local Markdown files into a dynamic, semantically searchable knowledge base maintained by an AI.

License: MIT MCP npm version

🚀 Features

  • 📁 Local-First Markdown: Your knowledge base lives as plain Markdown files in your filesystem. No lock-in, fully version-controllable.
  • 🔍 Semantic Search: Powered by sqlite-vec, files are chunked and embedded in a local SQLite database for lightning-fast semantic queries.
  • 🤖 MCP Server Integration: Exposes your knowledge base directly to MCP-compatible AI assistants (like Claude Desktop or Cursor).
  • 👷 Dynamic YAML Subagents: Define specific roles (e.g., Librarian, Archivist) using simple .yaml files.
  • 🛠️ Auto-Registration: The CLI automatically connects the MCP server to Claude Desktop, Gemini CLI, and Claude Code.

📦 Quickstart

1. Installation

You can install the Knowledge Base Wiki globally using npm:

npm install -g @harshitpadha/kb-wiki

Or run it directly using npx:

npx @harshitpadha/kb-wiki init

2. Initialize a Knowledge Base

Navigate to any directory where you want to manage your Markdown vault and run:

kb init

3. Start Chatting

Open Claude Desktop, Gemini CLI, or Claude Code. The /kb slash commands will be ready to use!

📚 Documentation

Check out the full wiki for in-depth guides:

📜 License

This project is licensed under the MIT License - see the LICENSE file for details.