MalimGraph (v0.2.0)

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From documents to interactive knowledge discovery.

MalimGraph is an agentic knowledge graph engine for Claude Code and Claude Desktop. Extract entities, build graphs, and visualize discovery maps — all orchestrated by Claude using its own intelligence. No ANTHROPIC_API_KEY required.

🚀 Claude Code Integration (Native)

MalimGraph v0.2.0 is a first-class plugin for Claude Code. It features auto-discovery and a native orchestration command.

Installation

pip install malimgraph
claude mcp add malimgraph -- malimgraph-plugin

The /kg Command

Initialize a full discovery workflow by typing /kg in your Claude terminal:

1. Extract: Parses PDF text via read_pdf.
2. Analyze: Claude identifies entities and relationships with verbatim evidence.
3. Build: Generates a standard Knowledge Graph (.json, .cypher, .sql).
4. Visualize: Launches the Premium Visual Discovery Map immediately.

🎨 Visual Discovery Suite

Explore your data through high-fidelity, interactive browser visualizations.

1. Premium Visualizer (vis.js) — Recommended

A robust, self-contained explorer with a pitch-black neon aesthetic.

python skills/graph-visualizer/scripts/visualize_graph.py --input output/knowledge_graph.json

• Robust Mapping: Reliable handling of id, label, and relationship IDs.
• Physics-Powered: ForceAtlas2 layout for optimal spatial clarity.
• Detail Inspector: Click nodes to see verbatim citations and confidence.

2. High-Performance Explorer (Sigma.js)

WebGL-powered rendering for exceptionally large graphs (thousands of nodes).

python skills/graph-visualizer-sigma/scripts/visualize_sigma.py --input output/knowledge_graph.json

🕸️ Skill Triggers

MalimGraph provides specialized agentic skills. Trigger them via natural language:

• "knowledge graph" — Full extraction and export
• "visualise graph" — Launch visual explorer
• "chunk for RAG" — Prepare document for vector embeddings
• "load into Neo4j" — Import to local graph database

🛠️ Tools & Capabilities

• read_pdf: PDF → text + rule-extracted metadata.
• save_knowledge_graph: Stable CID-based graph construction.
• chunk_document: Token-aware overlapping chunks for RAG.
• manage_graph_db: Load and query Neo4j or PostgreSQL (Apache AGE).
• embed_and_store_chunks: Native pgvector integration.

☁️ MCP Server Endpoint

Deploy MalimGraph as a serverless MCP endpoint on: https://mcpserver.malim.my/mcp (Streamable HTTP)

Credits

Built by Malim AI Labs — AI-powered knowledge infrastructure. MIT License © 2026.