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kragen-knowledge-graph

Maintainer FreedomIntelligence · Last updated April 1, 2026

KRAGEN knowledge graph for biomedical entity relationships and reasoning.

OpenClawNanoClawAnalysisReproductionkragen-knowledge-graph🧠 bioos extended suiteresearch infrastructure & agentskragen

Original source

FreedomIntelligence/OpenClaw-Medical-Skills

https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/kragen-knowledge-graph

Skill Snapshot

2 min

A knowledge graph-enhanced Retrieval-Augmented Generation system for biomedical problem solving, using Graph-of-Thoughts (GoT) reasoning.
Complex Reasoning: Questions requiring multi-hop deduction (e.g., "How does gene A influence disease B via protein C?").
Hypothesis Verification: Checking if a proposed mechanism is supported by existing knowledge graphs.
Literature Synthesis: Combining facts from structured DBs and unstructured text.
Complex Reasoning: Questions requiring multi-hop deduction (e.g., "How does gene A influence disease B via protein C?"). Hypothesis Verification: Checking if a proposed mechanism is supported by existing knowledge graphs. * Literature Synthesis: Combining facts from structured DBs and unstructured text.

Source Doc

Graph Retrieval: Query biomedical knowledge graphs (e.g., PrimeKG, SPOKE).
Graph-of-Thoughts: structured reasoning over retrieved nodes.
Vector DB Integration: Combines graph data with vector embeddings for hybrid search.