@DataChaz: @Karpathy's LLM wiki concept just became a real Mac app. It is called Tolaria, a free desktop app for Mac and Linux. Th…

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Summary

Tolaria is a free, open-source desktop app for Mac and Linux that implements Karpathy's LLM wiki concept, providing a native environment for humans and AI agents to build knowledge using plain markdown and Git versioning.

@Karpathy's LLM wiki concept just became a real Mac app. It is called Tolaria, a free desktop app for Mac and Linux. The goal is simple: give humans and AI agents a shared, native environment to build knowledge. It writes like a modern block editor, but saves everything as plain markdown. No databases, no proprietary formats, no vendor lock-in. And because every vault is a Git repo, you get visual version history built right into the app. The project is also a massive showcase of what AI-assisted engineering can do: → Built with Tauri, React, and Rust → 100K+ lines of code shipped → 3,000+ tests at 85% coverage → 9.9/10 code health score → 70+ architecture decision records It includes an out-of-the-box MCP server so tools like Claude Code can read and edit your vault natively. The Tolaria name and logo remain covered by the project trademark policy. Best part? Open source, free forever, no account required License: AGPL-3.0-or-later. repo link in ↓
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A new open-source tool called Graphify was built within 48 hours of Andrej Karpathy describing an LLM knowledge base workflow, enabling users to generate navigable knowledge graphs, Obsidian vaults, and wikis from any folder with 71.5x fewer tokens per query compared to reading raw files. It integrates with Claude Code and supports 13 programming languages, PDFs, images, and Markdown.