llm-wiki — MCP Server by Pratiyush

by Pratiyush · MCP Server · ★ 301

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

About llm-wiki

llmwiki LLM-powered knowledge base from your Claude Code, Codex CLI, Cursor, Gemini CLI, and Obsidian sessions. Built on Andrej Karpathy's LLM Wiki pattern. 👉 Live demo: pratiyush.github.io/llm-wiki Rebuilt on every push from the synthetic sessions in . No personal data. Shows every feature of the real tool (activity heatmap, tool charts, token usage, model info cards, vs-comparisons, project topics) running against safe reference data.

aiclaude-codeclicodex-clicopilotcursordeveloper-toolsgemini-clikarpathyknowledge-base

Quick Facts

Stars301
Forks49
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score46.524/100
Open Issues9
Last Updated2026-06-14
Created2026-04-08
Platformsclaude-code, cli, codex, gemini, mcp, python
Est. Tokens~22k

llm-wiki alternative? Top 6 similar tools

Looking for a llm-wiki alternative? If you're comparing llm-wiki with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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Frequently Asked Questions

What is llm-wiki?

llm-wiki is LLM-powered knowledge base from your Claude Code, Codex CLI, Copilot, Cursor & Gemini sessions. Karpathy's LLM Wiki pattern — implemented and shipped.. It is categorized as a MCP Server with 301 GitHub stars.

What programming language is llm-wiki written in?

llm-wiki is primarily written in Python. It covers topics such as ai, claude-code, cli.

How do I install or use llm-wiki?

You can find installation instructions and usage details in the llm-wiki GitHub repository at github.com/Pratiyush/llm-wiki. The project has 301 stars and 49 forks, indicating an active community.

What license does llm-wiki use?

llm-wiki is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to llm-wiki?

The top alternatives to llm-wiki on Agent Skills Hub include antigravity-workspace-template, ai-devkit, karpathy-llm-wiki. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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