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.

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

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 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 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.

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.

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.

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.

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

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

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

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.

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

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.

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

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

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

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 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.

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.

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.

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.

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.

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.

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

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

The Neo4j MCP Server is a knowledge graph storage service that supports environment variable configuration and is compatible with the Model Context Protocol.

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

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.

MCP service integrating knowledge graph and vector database based on SQLite

MCP Klaudium is an enhanced memory server with dynamic compression, context management, and thought process integration capabilities. It realizes entity - relationship storage and retrieval based on a knowledge graph and supports temporal awareness and memory importance evaluation.

The Graphiti MCP Server is a server based on multi - project knowledge graphs, supporting the rapid construction and management of temporary knowledge graphs for AI agents to query through the model context protocol. This project extends the official getzep/graphiti MCP Server, adds support for multiple servers and a single database, and provides a CLI tool with an optimized developer experience.

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.

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.

Ummon is a code analysis tool that enhances the understanding of codebases by building a code knowledge graph. It supports multi-language code analysis, an advanced query system, and intelligent recommendation functions.