# Knowledge Graph

An MCP server for the AI Memory Engine Cognee, supporting the construction of knowledge graphs from text and searching.

A student knowledge graph management server that provides structured management and progress tracking of learning resources such as courses, assignments, and exams

Memento is a knowledge graph memory system based on SQLite, providing persistent memory functions, supporting full - text retrieval and semantic search, and realizing intelligent context retrieval through BGE - M3 embedding. It is suitable for technical and creative project management.

The Neo4j MCP project connects LLMs with external systems through a standardized protocol to enable natural - language operation of Neo4j databases, knowledge graph storage, and Aura cloud service management.

The GraphDB MCP Server provides read-only access to Ontotext GraphDB, supporting SPARQL queries and RDF graph exploration

An MCP server that connects AI agents with Apache Jena, providing SPARQL query functionality

Project Synapse is a revolutionary MCP server that transforms text into an interconnected knowledge network through semantic analysis and knowledge graph technology and autonomously generates insights. It combines Montague semantics and the Zettelkasten method to achieve the cognitive collaboration ability of AI.

An implementation of the MCP server based on txtai, providing semantic search, knowledge graph, and AI text processing functions.

A Python in - memory MCP server based on a knowledge graph, using SQLite as the backend to achieve cross - session persistent memory storage and management.

MemoryMesh is a knowledge graph server designed for AI models, focusing on text role - playing games and interactive narratives. It helps AI maintain consistent and structured memory in conversations through dynamic schema definition and automatic tool generation, enabling a richer and more dynamic interactive experience.

A universal resource management system that supports managing multiple types of resources (papers, web pages, books, etc.) and integrating with knowledge graphs, providing functions such as resource identification, note - taking, status tracking, and entity association.

A server for managing qualitative research knowledge graphs, providing structured representation and management tools for research projects, participants, interviews, coding, and themes

An implementation of the MCP Server based on txtai, providing semantic search, knowledge graph, and AI text processing functions.

A knowledge graph service supporting both FastAPI and FastMCP protocols, providing core operation functions of the Qdrant vector database.

A Wikidata API service implementation based on the Model Context Protocol, providing entity/property search, metadata extraction, and SPARQL query functions.

An intelligent context management system designed for development teams, persistently recording project structure, dependencies, and development progress

The Memory Custom project adds custom memory paths and timestamp functions to the Memory server of the MCP team, optimizing the management of knowledge graphs and interaction tracking.

A knowledge graph builder that uses a local AI model to convert text or web page content into structured knowledge graphs, supporting large-scale content processing, real-time visualization, and integration with Neo4j and Qdrant databases.

MCP Memory is a persistent memory system based on Elasticsearch, providing cross - session memory storage and retrieval functions for AI conversations, solving the AI forgetting problem and enabling long - term context association.

A knowledge graph memory server based on Neo4j, providing efficient storage and retrieval capabilities for AI interactions

This project adds knowledge graph management functionality to the MCP memory server, using the PouchDB database for efficient storage, supporting custom storage paths and timestamp recording.

Logseq Knowledge Graph AI Interaction Tool

A knowledge graph management server based on the MCP protocol, supporting multiple startup methods and complete knowledge graph operation functions, including experimental short story generation capabilities.

A persistent memory service implementation based on a knowledge graph that allows Claude to remember user information across chats and builds a memory network through entities, relationships, and observation data.

A knowledge graph memory server implemented in Swift, providing persistent memory functions for large - language models

An MCP server project that stores AI memories as Markdown files and integrates with Obsidian, supporting knowledge graph visualization.

Graphiti MCP Server is an enhanced knowledge graph framework specifically designed for AI agents to build and query time - aware knowledge graphs in dynamic environments. It exposes core functions through the MCP protocol, supports continuous integration of user interactions, enterprise data, and external information, and provides capabilities for incremental updates, efficient retrieval, and precise historical queries.

Repo GraphRAG MCP Server is a service based on the MCP protocol that uses LightRAG and Tree - sitter to build a knowledge graph from code and text documents and provides functions such as question - answering and implementation planning.

SmartMemory is an MCP server that provides structured memory for LLMs. It converts conversation content into knowledge graphs through natural dialogue, enabling AI assistants to learn and apply business rules.

The AI Memory Protocol is a versioned, graph - based persistent memory system designed for AI programming agents, implemented using Sphinx - Needs, supporting the creation, search, update of memories, and integration with AI clients through the MCP protocol.