IDE Memory MCP
IDE Memory MCP gives AI coding agents a persistent memory layer that works across any IDE supporting the Model Context Protocol. Write project context once —…
Directory
IDE Memory MCP gives AI coding agents a persistent memory layer that works across any IDE supporting the Model Context Protocol. Write project context once —…
MCP server that exposes agent-memory-daemon to any MCP-compatible client — Kiro (CLI & IDE), Claude Desktop, Cursor, and others. The daemon does the thinking…
Transforms file-based memory banks into a centralized, remotely accessible service for multi-project management with consistent structure and validation.
Schema-driven memory engine that gives LLMs structured persistent memory for maintaining context, building knowledge bases, and creating meaningful connections…
Integrates with Memory Box to provide persistent, context-aware interactions through semantic memory storage and retrieval using vector embeddings and search…
Provides natural language interfaces to Neo4j graph databases for executing Cypher queries, storing knowledge graph data, and building persistent memory…
Provides persistent long-term memory capabilities through semantic indexing, retrieval, and search functions with support for multiple LLM providers and…
Integrates neural network-based memory encoding for enhanced long-term information storage and contextually-aware interactions across multiple conversations.
Integrates with SQLite to provide a persistent knowledge graph for efficient memory management and relationship modeling across conversations.
Provides a knowledge graph-based memory system using PouchDB for storing and retrieving entity relationships and observations, enabling persistent…
Memory with integrity for AI coding agents. SAME tracks provenance, flags stale knowledge, and surfaces contradictions; so your AI trusts what's current, not…
Caches data between language model queries to optimize token consumption and reduce costs in AI interactions.
Provides a knowledge graph management system for storing, retrieving, and querying information to build and maintain long-term memory across conversations.
Provides a knowledge graph-based memory system for creating, managing, and querying structured information with features like custom file paths, timestamping…
Lightweight, file-based memory storage for maintaining persistent context across conversations using simple text operations.
Provides a memory-efficient interface to the Figma API that handles large files by breaking operations into manageable chunks with pagination support…
Hindsight: Agent Memory That Works Like Human Memory
Provides persistent text memory storage with tagging capabilities for storing, retrieving, searching, and managing information across conversations using a…
Provides a pluggable knowledge graph memory server for flexible storage and retrieval within compatible systems, offering enhanced customization through…
A lightweight decentralized memory gateway that connects AI agents to Membase for persistent, verifiable multi-session memory.
Provides a Neo4j-powered knowledge graph storage solution for maintaining complex relationships between data points with persistent memory across conversations…
Provides structured memory management for project-based work through markdown file storage, enabling persistent context across chat sessions with efficient…
A Python implementation of the MCP memory server for knowledge graph storage and retrieval, using JSONL files for persistence.
An MCP server for remote memory bank management, enhanced with Supergateway for streamable-http transport. It supports multi-project management and requires…