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XinbaoWiki — OKF Bundle for Knowledge Graphs

Draft

A bilingual academic wiki with searchable knowledge, citation-grounded LLM answers, and agent-readable OKF exports.

By XinbaoQiao 1 stars Uncategorized MIT

Best for

  • Knowledge graph and knowledge management systems
  • RAG (Retrieval Augmented Generation) pipelines

What it does

  • Builds and maintains a structured knowledge graph from markdown content
  • 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/XinbaoQiao/XinbaoWiki
cd XinbaoWiki

Step 2: Point your AI agent at the bundle directory

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

Frequently Asked Questions

Is XinbaoWiki OKF conformant?

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

How do I install XinbaoWiki?

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 XinbaoWiki?

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

What are alternatives to XinbaoWiki?

Similar bundles include OKF_Studio_EGT, okf-agents, okf-graphify. Browse these for alternative approaches and feature sets.