Instantly share code, notes, and snippets. Path inventory: 2026-01-21. Table inventories: 2026-06-10. macOS build was not recorded in the original inventory. ~ denotes the user's home directory. Paths and schemas vary by macOS version, account configuration, and library location. Listed columns are schema examples; their presence does not establish populated values or retention periods. A pattern for building personal knowledge bases using LLMs. This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you. Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way. Apple is working on a Solar wallpaper engine for macOS 27 that groups aerial Landscape wallpapers and automatically switches variants based on the sun's position during the day. When properly configured, the four Tahoe and Golden Gate landscape wallpapers appear under one entry each in Settings, and a new Automatic display option appears. Here's how to enable it.

I’ve written a newer optimized 2026 version of this guide with a faster setup using Zinit + Starship and improved plugin loading. This version avoids slow shell startups and works better with modern Zsh setups. Updated guide: https://gist.github.com/n1snt/2cccc8aa5f7b645a7628d3512c70deb6 slmgr /ipk W269N-WFGWX-YVC9B-4J6C9-T83GX slmgr /skms zh.us.to Please make me a rich, interactive explanation of the specified code change. It should have these sections: