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XinbaoWiki — OKF Bundle for Knowledge Graphs
DraftA bilingual academic wiki with searchable knowledge, citation-grounded LLM answers, and agent-readable OKF exports.
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.