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LLM Wiki

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.

The core idea

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.

@roman-rr
roman-rr / ruflo-audit-gist.md
Last active May 9, 2026 02:50
Ruflo / Claude-Flow Audit: 300+ MCP Tools — 99% Theater, 1% Real, 5x Token Waste

Ruflo / Claude-Flow: 300+ MCP Tools Exposed — 99% Theater, 1% Real, 5x Token Waste

A deep technical audit of the ruflo (@claude-flow/cli) ecosystem — what it claims vs what it actually does.

Investigated 2026-04-04 by spawning 8 research agents across two analysis phases, reading source code from the ruflo GitHub repo, tracing local process execution, and testing every major tool category hands-on.


TL;DR