Cipher is an open-source memory layer framework designed for programming AI agents. It integrates with various IDEs and AI coding assistants through the MCP protocol, providing core functions such as automatic memory generation, team memory sharing, and dual-system memory management.

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.

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.

The MCP Memory Service is a semantic memory storage system based on ChromaDB and sentence transformers, providing long - term memory and semantic search functions for Claude Desktop.

An intelligent task management system based on the MCP protocol, providing an efficient programming workflow framework for AI agents, with functions such as task planning, decomposition, execution, and memory.

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

PCM is a reverse engineering tool based on MCP, providing functions such as IDA integration and memory analysis.

This is an automated deployment script project for installing and configuring multiple Model Context Protocol (MCP) robot services on a Windows system, including functions such as file system, GitHub, search, and memory management, and provides detailed installation guides and troubleshooting methods.

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.

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.

This project provides multiple Model Context Protocol servers, including web search, weather query, and memory storage functions, enabling AI models to integrate external tools and data sources.

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 Frida - based game hacking MCP server that provides memory scanning, value modification, function hooking, and code injection capabilities similar to Cheat Engine, supporting AI assistants for game modification and reverse engineering analysis.

This project is an MCP server for managing memory text files, helping AI models like Claude maintain context between conversations. It provides functions to add, search, delete, and list memories, supporting exact matching operations based on substrings. It is designed to store memories in simple text files, similar to ChatGPT's memory mechanism, and triggers memory storage through prompts and training.

An MCP server for the Figma API, with memory - efficient chunking and pagination functions, designed specifically for processing large Figma files.

Cline Memory Bank is a persistent project context management server designed for AI-assisted development. By integrating with the Cline extension in VSCode, it enables project memory functions across sessions, including context maintenance, progress tracking, and technical decision recording.

This project is an implementation of an MCP server based on OpenSearch, providing semantic memory storage and retrieval functions for LLM applications such as Claude, and supporting the connection of AI tools and data sources through a standard protocol.

A locally prioritized and agent-agnostic model context protocol server based on the Auggie SDK, providing codebase semantic search, file retrieval, intelligent planning, code review, and cross-session memory functions. It supports integration with multiple MCP clients.

An MCP server implementation designed for the Claude desktop application, providing persistent memory functions for large language models, including a tiered memory architecture, multiple memory types, and semantic search features.

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

An MCP server for extending the context window/memory of AI agents, supporting the storage, retrieval, and management of memory content, including semantic search functionality.

The Claudesidian MCP Server is a service project that interacts with the Obsidian knowledge base. It provides functions such as note management, web scraping, and memory retrieval, and supports local deployment and extended development.

An MCP server that adds persistent task management functionality to the AI programming assistant, supporting multi-step task tracking across sessions and maintaining project progress memory.

The Chroma MCP Server is a model context protocol server designed for the Chroma vector database, aiming to provide persistent working memory functions for AI-assisted development, supporting cross-session context storage and semantic retrieval.

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.

The Memvid MCP Server is an AI service interface based on video memory technology, supporting encoding content such as text and PDFs into video formats and providing semantic search and conversation functions.

An MCP server implementation based on the LanceDB vector database, providing semantic memory storage and retrieval functions.

This project includes two servers based on the Model Context Protocol (MCP): an IoT device control server and a memory management server. The IoT server provides device control, status query, and real-time update functions, suitable for scenarios such as smart homes and industrial IoT; the memory management server provides long-term memory storage and semantic search functions, suitable for fields such as conversation history and knowledge management.

The Advanced Reasoning MCP Server is a self - contained server based on the sequential thinking mode, with advanced cognitive functions such as meta - cognitive assessment, hypothesis testing, integrated memory libraries, and structured data storage. It supports a dual - storage architecture (graph - based memory and document storage) and enhanced visualization.

Nowledge Mem Claude Desktop Extension provides memory storage and search functions for Claude AI, supporting users to save and retrieve conversation memories

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

This is a project memory library management service based on SQLite, providing storage and retrieval functions for project background, decision records, progress updates, etc. through the MCP protocol, and supporting independent data management by project path.

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.

A distributed memory bank MCP implementation based on the KùzuDB graph database, supporting repository and branch isolation, and providing AI-driven memory optimization, secure snapshots, and intelligent analysis functions

A TypeScript - based MCP server that helps LLMs build mind maps for structured thinking, including quality scoring, stage management, branch exploration, and memory management functions.

An MCP server for expanding the context window/memory of AI agents, supporting storage, retrieval, and management of memories, including semantic search functionality.

The Local MCP Tools Collection aims to simplify the integration of multi - functional tools for local large language models, supporting multiple MCP servers through a single virtual environment, including web search, Python sandbox, and long - term memory functions.

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.

The MCP Development Framework is a powerful toolset for interacting with large language models, providing functions such as file processing (PDF/Word/Excel) and web content retrieval. It supports Cursor IDE extension and has technical features such as intelligent file identification, efficient processing, and memory optimization.