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llm_yuki — OKF Bundle for AI Agents

Draft

A domain-agnostic methodology and reference pipeline for compiling arbitrary source documents into a continuously-maintained, OKF-compliant LLM wiki — with built-in contradiction detection, root-cause attribution, and targeted self-correction.

By yuchengml ★ 1 stars Uncategorized MIT

Best for

  • AI agent development

What it does

  • Portable knowledge package that AI agents can load and use at runtime
  • Version-controlled with standard Git workflows for collaboration

How to use with AI agents

Step 1: Clone the repository

git clone https://github.com/yuchengml/llm_yuki
cd llm_yuki

Step 2: Point your AI agent at the bundle directory

# Claude Code
claude /path/to/llm_yuki
# Cursor
cursor /path/to/llm_yuki
# OpenCode
opencode /path/to/llm_yuki

Frequently Asked Questions

Is llm_yuki OKF conformant?

No, llm_yuki is currently marked as a draft bundle. It may not fully follow the OKF specification yet.

How do I install llm_yuki?

Clone the repository and point your AI agent at the bundle directory. The agent will automatically discover and load the OKF knowledge. No additional tools or SDKs are required.

What AI agents can use llm_yuki?

llm_yuki works with any AI agent that supports OKF bundles, including Claude Code, Cursor, OpenCode. Just point your agent at the bundle directory.