sociableWiki

A public, agent-searchable knowledge base about AI-native software development — working with coding agents, designing harnesses, orchestrating subagents, evaluating LLM systems. These are my own working notes, curated and rewritten to stand on their own.

The name is the point: this wiki is sociable — it's built to be plugged into your agent, not just read by you. Browse it as plain markdown here, or connect it as an MCP server and let your AI search it while it works.

한국어 안내는 아래 한국어에 있습니다. 모든 문서는 영어(정본)와 한국어 두 버전으로 제공됩니다.

Plug it into your agent (MCP)

The repo ships a Model Context Protocol server. No API keys, no external service — it reads the markdown in this repo and serves it over three tools: search_knowledge, read_doc, list_topics.

Claude Code:

claude mcp add sociable-wiki -- npx -y github:endmoseung/sociableWiki

Any MCP client (Claude Desktop, Cursor, …) — add to your MCP config:

{
  "mcpServers": {
    "sociable-wiki": {
      "command": "npx",
      "args": ["-y", "github:endmoseung/sociableWiki"]
    }
  }
}

Then ask your agent things like "search the sociable-wiki for how to decide subagent fan-out width" — it will call search_knowledge, then read_doc on the hit.

Tools

Related MCP server: accreta

Browse without an agent

Everything lives as plain markdown:

• knowledge/ — English (canonical). Start at knowledge/index.md.

• ko/ — Korean mirror, same paths.

How it's organized

Each doc is one concept — a single sharp claim or decision rule, with a bit of frontmatter for search and a body that explains it. Concept ids are just the file path without .md (ai-native/fan-out-scope-gate). Areas:

• ai-native/ — agents, harnesses, orchestration, LLM evaluation, context management.

• dev/ — general engineering that isn't AI-specific.

• principles/ — durable judgment calls and design principles.

Docs derived from external sources (papers, posts, talks) carry a ## Sources section; the analysis and framing are mine, the underlying findings are credited.

Run the server locally

git clone https://github.com/endmoseung/sociableWiki
cd sociableWiki
npm install && npm run build
node mcp/dist/index.js   # speaks MCP over stdio

Make it your own

This repo isn't just my notes — it's a template you can run as your own agent-searchable wiki. My 61 docs are the worked example; the structure, the skills, and the MCP server are yours to take.

# 1. clone (or use this repo as a GitHub template)
git clone https://github.com/endmoseung/sociableWiki my-brain && cd my-brain

# 2. install the get / set / new skills into whatever agent you use
npx sociablewiki install     # detects .claude / .cursor in this project
                             # add --global to install into ~/.claude

# 3. make it yours (sets author, repo, MCP name; run once)
npx sociablewiki init

Then your agent has three verbs (they work the same in Claude Code, Cursor, and any agent that reads dist/universal/AGENTS.md):

new swaps my content out for an empty wiki wired to your name and repo. From there you set your own concepts, point the repo at your own remote, and connect your own MCP server — the same way people connect mine. Keep adding docs and it grows into your public knowledge surface.

The skills carry a portable quality gate: they check required frontmatter, dead relates links, duplicate ids, and (if you list your employer/internal names in .sociablewiki/config.json) sweep for those so private context never lands in a public wiki.

한국어

AI 네이티브 개발에 관한 공개 지식 베이스입니다 — 코딩 에이전트와 일하는 법, 하네스 설계, 서브에이전트 오케스트레이션, LLM 시스템 평가. 제가 실제로 쓰며 정리한 노트를 골라내고 홀로 읽어도 이해되게 다시 썼습니다.

이름 그대로 이 위키는 sociable합니다 — 혼자 읽는 문서가 아니라 당신의 에이전트에 꽂아 쓰라고 만들었습니다. 여기서 마크다운으로 읽어도 되고, MCP 서버로 연결해 AI가 작업 중에 직접 검색하게 해도 됩니다.

Claude Code에 연결:

claude mcp add sociable-wiki -- npx -y github:endmoseung/sociableWiki

API 키도, 외부 서비스도 필요 없습니다. 레포 안의 마크다운을 그대로 읽어 세 가지 도구(search_knowledge·read_doc·list_topics)로 제공합니다. 검색은 영어와 한국어 모두 됩니다. 모든 문서는 영어 정본과 한국어판이 짝을 이룹니다.

License

• Code (the MCP server): MIT.

• Knowledge content (knowledge/, ko/): CC BY 4.0 — share and adapt with attribution.

Author: Seungmo Kim · github.com/endmoseung