# Knowledge Graph

An MCP server project for threat information collection, supporting the collection of threat intelligence within a specified time range through command - line tools and integration with the Neo4j knowledge graph.

An enhanced MCP memory server with functions of dynamic compression, context management, and integration of thinking processes

MCP Server Knowledge Graph Memory Project

An MCP server designed for quantitative research, used to manage the research knowledge graph and support the structured representation of research projects, datasets, variables, hypotheses, statistical tests, models, and results.

The knowledge graph memory server is a persistent memory system based on a local knowledge graph that supports remembering user information across chat sessions.

A Python - based code review system that integrates the programming principles of Martin Fowler and Robert C. Martin and provides AI - assisted code review services.

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

A memory-based knowledge graph management MCP server that provides strict validation and management functions for entities, relationships, and observations

An implementation of a persistent memory server based on knowledge graphs, allowing Claude to remember user information across different chats. It provides functions for creating, querying, updating, and deleting entities, relationships, and observations, and supports local JSON storage.

A knowledge graph memory server implemented in Go, providing persistent memory management capabilities across conversations for AI assistants

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.

A flexible resource management system that supports managing multiple types of resources (papers, web pages, books, etc.) and integrating with knowledge graphs, providing functions such as unified identification, structured notes, and status tracking.

SourceSage is an efficient MCP server designed for LLMs, used to remember key aspects of codebases, such as logic, style, and standards, and supports dynamic updates and fast retrieval.

An MCP server integrating the Vibe Coding method and knowledge graph technology, using the Kuzu graph database for AI-assisted software development, supporting multi-language code analysis and enterprise-level security performance.

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

The Project MCP Server is a tool for managing project knowledge graphs, providing structured representations of projects, tasks, milestones, resources, and team members to help project managers track progress, manage risks, allocate resources, and make decisions.

An implementation of a knowledge graph management MCP server based on Neo4j, providing standard interfaces for the storage and retrieval of graph databases.

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

An implementation of a persistent memory server based on knowledge graphs, supporting cross - session memory of user information and an error learning system, including core functions such as entity management, relationship establishment, observation recording, and error lessons.

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

This project adds custom memory paths and timestamp functions to the MCP team's Memory server, supporting the construction of a knowledge graph through LLM to manage interaction memory.

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

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

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.

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 knowledge graph storage and retrieval service based on Neo4j, implemented as a server for the MCP protocol, supporting database connection configuration through environment variables and providing project - specific knowledge graph management functions.

A persistent memory server based on a knowledge graph, supporting cross - session storage and retrieval of user information