start new:
tmux
start new with session name:
tmux new -s myname
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| ## | |
| ## 32-bit Mingw-w64 repository mirrorlist | |
| ## Changed on 2014-11-15 | |
| ## | |
| ##中国科学技术大学开源软件镜像 | |
| Server = http://mirrors.ustc.edu.cn/msys2/mingw/i686 | |
| ##北京理工大学镜像 | |
| Server = http://mirror.bit.edu.cn/msys2/REPOS/MINGW/i686 | |
| ##日本北陆先端科学技术大学院大学 sourceforge 镜像 | |
| Server = http://jaist.dl.sourceforge.net/project/msys2/REPOS/MINGW/i686 |
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.