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wtf is wiki?

orbsh/wiki — explained in plain English

Analysis updated 2026-05-18

3Audience · researcherComplexity · 1/5Setup · easy

TL;DR

A personal Chinese language wiki collecting the author's notes and design documents on AI agents, memory systems, and infrastructure.

Mindmap

mindmap
  root((orbsh wiki))
    What it does
      Personal notes index
      Chinese language wiki
      Linked markdown docs
    Topics
      AI agent memory
      LLM cognition
      Infrastructure critiques
      Language design
    Use cases
      Reference library
      Design document archive
    Audience
      Researchers
      Technical readers

Code map

Detail Auto

An interactive map of this repo's files and how they connect — its source is parsed live in your browser. Click Visualize to build it.

filefunction / class

Why would anyone build with this?

REASON 1

Browse the author's notes on AI agent memory systems and architecture design

REASON 2

Read critique documents comparing infrastructure tools like Redis, Nginx, and MySQL

REASON 3

Explore notes on language model cognition and prompt caching behavior

REASON 4

Reference the author's own project documentation, such as a UI framework and NixOS config

What's in the stack?

Markdown

How it stacks up

orbsh/wiki0marildo/imago0xvasic/lobby-radio-player
Stars333
LanguagePythonVisual Basic .NET
Setup difficultyeasyeasyeasy
Complexity1/52/51/5
Audienceresearchergeneralgeneral

Figures from each repo's GitHub metadata at analysis time.

How do you spin it up?

Difficulty · easy Time to first run · 5min

This is a documentation wiki, not software, there is nothing to install or run.

Wtf does this do

This repository is a personal knowledge base written mostly in Chinese, organized as a wiki index of notes and design documents. The README is mostly a table of contents that links out to dozens of individual markdown files grouped under topic headings, with a few entries also offered in an English translation alongside the Chinese original. The topics covered span a wide range of the author's technical interests. There is a section on memory systems for AI agents, covering ideas like graph based memory, layered memory architecture, and how persistent memory changes what an AI tool can do over time. Another section covers AI agent architecture and usage patterns, including design principles, agent selection research, and critiques of multi-agent approaches. A large section is devoted to language models and cognition, discussing topics such as prompt caching behavior, hidden behavior patterns in model outputs, and cognitive psychology as applied to agent design. Other sections gather notes on infrastructure and architecture choices, such as comparisons between database and storage technologies, and a set of pointed critique documents examining tools like Redis, Nginx, MySQL, and cloud platforms from the author's own technical perspective. There are further sections on programming language design, workflow and skill automation, broader thinking about AI era business models and organizations, and notes on editors, operating systems, and networking tools the author has evaluated. A final section links to documentation for the author's own software projects, including a UI framework, a NixOS configuration, and a distributed systems design. Because the README is structured entirely as a linked index rather than prose, this project functions as a personal reference library or digital notebook rather than a piece of software with an install process. It does not state a license, and most of the linked content is not included in the excerpt available here, so this description reflects only the topics and structure the index itself reveals.

Yoink these prompts

Prompt 1
Summarize the main topic categories in this wiki index
Prompt 2
Translate the memory systems section of this wiki into English
Prompt 3
Explain what this wiki says about AI agent design principles
Prompt 4
List the critique documents in this wiki and what tools they cover

Frequently asked questions

wtf is wiki?

A personal Chinese language wiki collecting the author's notes and design documents on AI agents, memory systems, and infrastructure.

How hard is wiki to set up?

Setup difficulty is rated easy, with roughly 5min to a first successful run.

Who is wiki for?

Mainly researcher.

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