okf-loremaster — OKF Bundle for RAG Pipelines
OKF ✓ v0.1Multi-agentic biomedical literature evidence extraction, curation, and summarization from PubMed/PMC in Open Knowledge Format (OKF) for downstream machine learning, feature selection, and agentic applications.
Best for
- RAG (Retrieval Augmented Generation) pipelines
What it does
- Fully OKF-conformant — works with any OKF-compatible agent framework
- 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/PFreda-Lab/okf-loremaster
cd okf-loremasterStep 2: Point your AI agent at the bundle directory
# Claude Code
claude /path/to/okf-loremaster# Cursor
cursor /path/to/okf-loremaster# OpenCode
opencode /path/to/okf-loremasterFrequently Asked Questions
Is okf-loremaster OKF conformant?
Yes, okf-loremaster is OKF conformant (version 0.1). This means it follows the Open Knowledge Format specification.
How do I install okf-loremaster?
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 okf-loremaster?
okf-loremaster 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 okf-loremaster?
Similar bundles include okf-agents, okf-ingest, okf-tools. Browse these for alternative approaches and feature sets.