mwasa

LLM Wiki v2

A pattern for building personal knowledge bases using LLMs. Extended with lessons from building agentmemory, a persistent memory engine for AI coding agents.

This builds on Andrej Karpathy's original LLM Wiki idea file. Everything in the original still applies. This document adds what we learned running the pattern in production: what breaks at scale, what's missing, and what separates a wiki that stays useful from one that rots.

What the original gets right

The core insight is correct: stop re-deriving, start compiling. RAG retrieves and forgets. A wiki accumulates and compounds. The three-layer architecture (raw sources, wiki, schema) works. The operations (ingest, query, lint) cover the basics. If you haven't read the original, start there.

mwasa

📗 문서 주소가 https://sce-tts.github.io/ 으로 변경되었습니다.

SCE-TTS와 관련한 최신 정보는 위 주소를 참고해주세요!

아래의 내용은 이전 문서 내용입니다.

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SCE-TTS: 내 목소리로 TTS 만들기

mwasa

#include <stdio.h>
#include <stdlib.h>

struct closure {
  void (* call)(struct closure *);

  int x;
};