# AI Memory

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.

The Knowledge Graph Memory Server implements a persistent memory function and supports cross - session storage of user information

An AI memory storage server based on knowledge graphs, providing persistent memory functions across interactions for AI models.

A Python memory server based on a knowledge graph for implementing the persistent memory function of Claude AI

The MCP Memory Server provides long-term memory functions for AI assistants and implements efficient vector similarity search based on PostgreSQL and pgvector.

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.

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

MCP-Mem0 is a template implementation that provides long-term memory functions for AI agents, integrating the Model Context Protocol (MCP) server and Mem0, supporting memory storage, retrieval, and semantic search.

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

The Pippa MCP Memory Manager is an AI memory system designed for Cursor IDE, which implements cross - session persistent memory functions based on the MCP protocol.

ZenMemory MCP Server is a decentralized AI memory infrastructure project built on the MCP protocol and Solana Agent Kit, providing memory storage, retrieval, and on - chain memory context functions.

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

The Mem0 MCP server is a model context protocol service that provides persistent memory capabilities for LLMs. It supports both cloud and local storage modes, enabling cross - session information storage and retrieval.

This project implements a personal context management server based on the MCP protocol, which is used to store and update users' personalized data, enabling AI assistants to maintain memory across sessions and provide personalized services.