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MemoryMesh

Provides structured memory persistence for AI models via a knowledge graph server utilizing the Model Context Protocol (MCP).

About

MemoryMesh is a local knowledge graph server designed to provide AI models with consistent, structured memory across conversations. By defining data structures with schemas, MemoryMesh automatically generates tools for adding, updating, and deleting data, making it particularly well-suited for text-based RPGs and interactive storytelling. Its adaptable design also makes it useful for various applications, including social network simulations, organizational planning, or any scenario involving structured data.

Key Features

  • Dynamic schema-based tools for managing data
  • Relationship handling to create connections between data points
  • Event system for tracking knowledge graph modifications
  • Intuitive schema design for AI guidance
  • Informative feedback for AI learning

Use Cases

  • Interactive storytelling
  • Text-based RPGs
  • Social network simulations