Cognee is an open - source project that provides memory functions for AI agents. It builds a dynamic knowledge graph through a modular ECL pipeline, supports multiple data sources and formats, reduces hallucinations, and lowers costs.

Security Detections MCP is a server based on the Model Context Protocol that allows LLMs to query a unified security detection rule database covering Sigma, Splunk ESCU, Elastic, and KQL formats. The latest version 3.0 is upgraded to an autonomous detection engineering platform that can automatically extract TTPs from threat intelligence, analyze coverage gaps, generate SIEM-native format detection rules, run tests, and verify. The project includes over 71 tools, 11 pre-built workflow prompts, and a knowledge graph system, supporting multiple SIEM platforms.

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.

MemoryMesh is a knowledge graph server designed for AI models, focusing on text RPGs and interactive narratives, helping AI maintain structured memory across conversations.

ATLAS is an intelligent task and knowledge management system built on TypeScript and Neo4j, designed for LLM agents, providing a three - layer management architecture for projects, tasks, and knowledge.

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

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

An MCP memory server based on the Qdrant vector database, providing knowledge graph and semantic search capabilities.

The Logseq MCP Server is a model context protocol server that provides direct integration with Logseq knowledge bases, enabling LLMs to interact programmatically with Logseq graphs.

The official NervusDB MCP Server provides functions such as code knowledge graph construction, project analysis, workflow automation, and code operations, supporting cross - language code relationship analysis and GitHub integration

Hivemind is an Obsidian plugin that provides AI firewall capabilities for fictional world - building, research, and knowledge management. It ensures that AI tools collaborate based on the real information in the user's notes through timeline views, relationship graphs, and canonical workflows, preventing AI hallucinations.

A general resource management system that supports the management of multiple resource types (papers, web pages, books, etc.) and integrates with the knowledge graph, providing structured notes and status tracking functions.

CortexGraph is an MCP server that provides a human-like memory system for AI assistants. It realizes the natural decay and reinforcement use of memories by simulating the Ebbinghaus forgetting curve, including short-term memory storage, long-term memory archiving, and knowledge graph functions.

The Cyb MCP Server is a server for interacting with the Cyber decentralized knowledge graph, supporting the creation of knowledge links, content search, and retrieval of data from IPFS.

A Python hypergraph library supporting traceability and SQLite persistence, used to represent complex relationships between multiple nodes, suitable for fields such as knowledge graphs, AI agent memories, and biomedical data.

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.

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 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.

A knowledge graph server based on Neo4j, integrating AI models and the MCP protocol, supporting dynamic knowledge management and semantic search.

The Roam Research MCP Server is a tool that provides a standardized interface for AI assistants and supports in - depth interaction with the Roam Research knowledge graph.

A-MEM is a self-evolving memory system designed for coding agents. It uses a Zettelkasten-style knowledge graph structure, can automatically extract, associate, and evolve memories, supports semantic search and graph traversal, and integrates with agents such as Claude Code through the MCP protocol.

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

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.

A memory server implementing the Model Context Protocol (MCP), providing persistent memory storage and retrieval functions based on a knowledge graph for large language models.

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 memory system that enhances AI programming capabilities through multi-type database integration, including vector databases, SQLite, and knowledge graphs, for storing and retrieving code patterns, algorithms, and relationships between programming concepts.

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

The MCP Neo4j Knowledge Graph Memory Server is an enhanced memory storage system based on the Neo4j graph database, providing high-performance knowledge graph storage and retrieval capabilities for AI assistants.

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

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

RDF Explorer is a server based on the MCP protocol, providing knowledge graph exploration and analysis functions in local file or SPARQL endpoint modes, supporting natural language queries and SPARQL query conversion.

The MCP Chat Analysis Server is a service based on the Model Context Protocol (MCP), providing semantic analysis functions for chat conversations, including vector embedding search, knowledge graph construction, and conversation pattern analysis.

MCP-KG-Memory is an MCP server with a long-term memory layer based on a knowledge graph, aiming to solve the context forgetting problem of AI programming assistants. It persistently stores project goals, constraints, strategies, and user preferences through Neo4j, enabling semantic retrieval and active learning, and endowing the AI assistant with continuous memory and context awareness capabilities.

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 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.

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.

Changesets is a build tool for managing versions and releases of multi - package or single - package codebases

KIP is a graph interaction protocol designed for large language models, connecting LLMs with knowledge graphs and providing capabilities for memory persistence, knowledge evolution, and interpretable interaction.

MCP service integrating knowledge graph and vector database based on SQLite