Kappa Knowledge Graph System

Example Use Cases

• 1

  Persistent, grounded memory with confidence scoring.

• 2

  Validate claims against well-supported knowledge with provenance.

• 3

  Semantic search and exploration of concept relationships with contradiction awareness.

Description

This MCP server enables AI assistants to query and interact with a semantic knowledge graph that extracts concepts and relationships from documents, tracks evidence support and contradictions, and preserves provenance. It supports local operation with optional air-gapped inference, offers a FUSE filesystem for Unix integration, and provides grounding scores to measure confidence in knowledge. The system enhances agent memory with well-supported, traceable knowledge and semantic diversity signals.