DuckDB Knowledge Graph Memory MCP

Overview

DuckDB Knowledge Graph Memory MCP is an MCP server that implements knowledge graph-based persistent memory using DuckDB as the storage backend. This enables AI agents to store, query, and retrieve structured knowledge with graph relationships, providing enhanced context awareness and reasoning capabilities.

Features

Knowledge Graph Storage

• Entity Management: Store and manage entities with attributes
• Relationship Modeling: Define connections between entities
• Graph Queries: Navigate knowledge graphs efficiently
• Semantic Search: Find related information by meaning

Memory Operations

• Store Knowledge: Save facts, entities, and relationships
• Query Memory: Retrieve relevant information on demand
• Update Entities: Modify existing knowledge
• Delete Obsolete Data: Remove outdated information

DuckDB Backend

• Fast Queries: In-memory analytical performance
• Persistent Storage: Data survives between sessions
• SQL Interface: Powerful query capabilities
• Efficient Storage: Columnar compression

Use Cases

Conversational AI Memory

• Remember user preferences and context
• Track conversation history and topics
• Build user profiles over time
• Provide personalized responses

Knowledge Base Building

• Extract and store information from documents
• Build domain-specific knowledge graphs
• Connect related concepts and entities
• Enable semantic search over knowledge

RAG Enhancement

• Store structured facts alongside embeddings
• Combine vector search with graph traversal
• Improve retrieval accuracy
• Provide explainable answers

Agent Memory Systems

• Long-term memory for AI agents
• Remember tasks and outcomes
• Learn from interactions
• Build contextual understanding

Knowledge Graph Capabilities

Entity Types

• People, organizations, locations
• Documents, concepts, topics
• Events and timestamps
• Custom domain entities

Relationship Types

• Hierarchical (parent-child)
• Associative (related-to)
• Temporal (before-after)
• Causal (causes-effects)

Query Patterns

• Find entities by attributes
• Navigate relationships
• Discover connected entities
• Pattern matching

Integration

Works with AI assistants supporting MCP. Uses DuckDB for storage with automatic schema management. Compatible with vector databases for hybrid search approaches.

Pricing

Free and open-source. DuckDB is also free and open-source.