MCP Memory with Redis Graph

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MCP Memory is a server that enables storage, retrieval, and management of memories from LLM conversations, utilizing Redis Graph for long-term structured storage and relationship management.
Added on:
Created by:
Mar 06 2025
MCP Memory with Redis Graph

MCP Memory with Redis Graph

0 Reviews
2
0
MCP Memory with Redis Graph
MCP Memory is a server that enables storage, retrieval, and management of memories from LLM conversations, utilizing Redis Graph for long-term structured storage and relationship management.
Added on:
Created by:
Mar 06 2025
Sam Wang
Featured

What is MCP Memory with Redis Graph?

This MCP implements a memory system for LLM conversations, leveraging Redis Graph for creating and managing a knowledge graph of memories. It can store diverse memory types such as conversations, projects, tasks, issues, and financial data. Users can create, search, update, and delete memories, with support for establishing relationships between them, enabling complex data organization and insights. It is suitable for developers and organizations aiming to develop advanced memory management using graph databases, enhancing conversational AI and data tracking capabilities.

Who will use MCP Memory with Redis Graph?

  • Developers
  • AI researchers
  • Organizations managing large-scale conversations
  • Data analysts

How to use the MCP Memory with Redis Graph?

  • Step1: Set up Docker environment and start Redis with RedisGraph support
  • Step2: Clone the MCP Memory repository
  • Step3: Install dependencies using npm
  • Step4: Configure Redis connection in src/index.ts if needed
  • Step5: Run the application with npm start
  • Step6: Use provided memory tools to create, search, update, and delete memories

MCP Memory with Redis Graph's Core Features & Benefits

The Core Features
  • Create memory
  • Retrieve memory
  • Search memories
  • Update memory
  • Delete memory
  • Create relationships between memories
  • Get related memories
The Benefits
  • Structured long-term memory storage
  • Supports complex relationships between data
  • Flexible management of various memory types
  • Enhances AI comprehension and context retention
  • Scalable with Redis Graph backend

MCP Memory with Redis Graph's Main Use Cases & Applications

  • Storing conversation histories and context for AI chatbots
  • Managing project and task information
  • Tracking issues and bug reports
  • Financial data management
  • Building knowledge graphs for AI applications

FAQs of MCP Memory with Redis Graph

Developer

  • samwang0723

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