Graphs that teach > graphs that impress. Turn any code into an interactive knowledge graph you can explore, search, and ask questions about. Works with Claude Code, Codex, Cursor, Copilot, Gemini CLI, and more.

Self-organizing AI second brain for Obsidian + Claude Code. Drop any source and Claude reads, links, and files it into one connected knowledge graph of plain Markdown you own. AI note-taking, personal knowledge management (PKM), and an open-source Notion alternative. Based on Karpathy's LLM Wiki pattern.

Persistent memory for Claude Code and 6 other CLI agents, stored as plain markdown in your Obsidian vault. Stop re-explaining your projects, decisions and people every session. 45 commands: hybrid semantic search, self-rewriting notes, key-less web research, and scheduled agents that maintain the vault while you sleep.

Build your own LLM-native WIKI (knowledge library). Search, extract, summarize, Q&A with contextual RAG, layered knowledge graph, and reinforced memory. Importantly use selected context to automatically generate skills, empowered by Claude subagents + CodeAct pipeline and gated by human review. **Try Live Demo**: https://byo-wiki-demo.vercel.app

A git-native, review-gated knowledge base for AI agents: they propose writes, you approve them. Every claim cites a source, every change is a diff in your repo. MCP + CLI.

Персональна база знань, що наповнюється та структурується за допомогою LLM-агентів. Проєкт побудовано на патерні LLM Wiki, створеному Андреєм КАРПАТИ (одним зі співзасновників OpenAI), та адаптовано під українську мову.

A minimal CLAUDE.md template that turns any LLM CLI into a personal knowledge base. Drop in one file, start ingesting articles. Karpathy's LLM Wiki pattern.

Canonical, LLM-maintainable knowledge base of every Inner Circle Trader (ICT) concept 2016–2026. 226 concept files, machine-readable JSON blocks, follows Karpathy's LLM Wiki pattern.

Claude Code의 영구 기억 시스템 — 4-layer 파이프라인 (세션 검색 + 메모리 회수 + Memory Compiler). Karpathy LLM-as-Compiler 패턴 실증판.

An autonomous research agent built on Karpathy's LLM Wiki— give it a topic, it researches the internet and builds a structured wiki automatically.

Agent-native knowledge OS built on Markdown. A shared vault for AI agents and humans, backed by a typed knowledge graph, full-text search, and an LLM-powered compiler, all accessible through MCP. Drop files in, let agents read, write, search, link, and compile knowledge. No database required.

LLM-Wiki: A Copilot-native personal knowledge graph. Inspired by Karpathy’s compounding knowledge pattern. Ingest, query, and interlink your second brain with AI.

The local system that remembers your projects, maintains itself, and is ready in 5 minutes. But, most of all, a Second Brain that doesn't become a Second Job.

Productized LLM Wiki pattern + typed pack registry + proposal-only governance — UNESCO Memory of the World Triple Anchor

Initialize and maintain Karpathy-style LLM wikis in any project (CLI)

Everyone is building AI second-brains. Some are self-hostable, some are cloud-based. But, which one is actually worth your time & costs?

A boilerplate for an LLM-maintained personal knowledge wiki — ingest articles, query, synthesize, and lint, fully agent-operated.

一套将 PDF/LaTeX 自动转化为 Obsidian 结构化 Markdown 知识图谱的 AI 智能体技能。

A spec driven development framework that maintains an LLM wiki

9-verb knowledge engine for Obsidian vaults — Karpathy LLM Wiki pattern. Works with Claude Code, Antigravity, Codex, Gemini CLI, Cursor via symlink distribution.