{"repo":"gannonh/memento-mcp","free":true,"listed":false,"github":"https://github.com/gannonh/memento-mcp","clone":"git clone https://github.com/gannonh/memento-mcp.git","description":"Memento MCP: A Knowledge Graph Memory System for LLMs","language":"TypeScript","stars":426,"topics":["claude-desktop","cursor","knowledge-graph","modelcontextprotocol","neo4j","vector-database"],"license":"MIT","category":"databases-storage","readme_excerpt":"Memento MCP: A Knowledge Graph Memory System for LLMs Scalable, high performance knowledge graph memory system with semantic retrieval, contextual recall, and temporal awareness. Provides any LLM client that supports the model context protocol (e.g., Claude Desktop, Cursor, Github Copilot) with resilient, adaptive, and persistent long-term ontological memory. Core Concepts Entities Entities are the primary nodes in the knowledge graph. Each entity has: - A unique name (identifier) - An entity type (e.g., \"person\", \"organization\", \"event\") - A list of observations - Vector embeddings (for semantic search) - Complete version history Example: Relations Relations define directed connections between entities with enhanced properties: - Strength indicators (0.0-1.0) - Confidence levels (0.0-1.0) - Rich metadata (source, timestamps, tags) - Temporal awareness with version history - Time-based confidence decay Example: Storage Backend Memento MCP uses Neo4j as its storage backend, providing a unified solution for both graph storage and vector search capabilities. Why Neo4j? - Unified Storage : Consolidates both graph and vector storage into a single database - Native Graph Operations : Built specifically for graph traversal and queries - Integrated Vector Search : Vector similarity search for embeddings built directly into Neo4j - Scalability : Better performance with large knowledge graphs - Simplified Architecture : Clean design with a single database for all operations Prerequisit","default_branch":null,"files":null,"tree":[],"storefront":"/r/gannonh","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/gannonh/memento-mcp/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}