Knowledge Graph Engine — AI skill for Claude Code
Knowledge graph engine for modeling relationships across code, documents, and AI workflows.
How to install Knowledge Graph Engine
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open 2233admin/knowledge-graph-engine and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What Knowledge Graph Engine does
Knowledge graph engine for modeling relationships across code, documents, and AI workflows.
Alternatives in AI
- WeKnora — Open-source LLM knowledge platform: turn raw documents into a queryable RAG, an autonomous reasoning agent, an 26.9k ★
- Wiki Graph — Build the LLM Wiki knowledge graph 2.3k ★
- Iwe — Markdown knowledge graph — LSP for your editor, CLI + MCP memory for your AI agents 1.8k ★
README
Knowledge Graph Engine (KGE)
**Typed knowledge graph + causal inference engine for structured agent memory and composable skills.**
Enhanced with causal reasoning, root cause analysis (5 Whys), and success attribution.
Features
- Typed Knowledge Graph: Entities, relations, properties with validation
- Causal Inference Engine: Root cause analysis (5 Whys), success attribution, decision simulation
- Composable Skills: Cross-skill state sharing via knowledge graph
- Validation: Type constraints, relation cardinality, acyclic checks
Quick Start
# Initialize KGE storage
mkdir -p memory/knowledge-graph-engine
touch memory/knowledge-graph-engine/graph.jsonl
touch memory/knowledge-graph-engine/causal.jsonl
# Start using
python3 scripts/ontocausal.py create --type Person --props '{"name":"Alice"}'
GitHub Repository
https://github.com/2233admin/knowledge-graph-engine
License
MIT
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