MemoryMeshA knowledge graph server that uses the Model Context Protocol (MCP) to provide structured memory persistence for AI models. v0.2.8

MemoryMesh is a knowledge graph server designed for AI models, with a focus on text-based RPGs and interactive storytelling. It helps AI maintain consistent, structured memory across conversations, enabling richer and more dynamic interactions. The project is based on the Knowledge Graph Memory Server from the MCP servers repository and retains its core functionality. MemoryMesh empowers users to build and manage structured information for AI models. MemoryMesh is a local knowledge graph server that is particularly well-suited for text-based RPGs but can also be used for social network simulations, organizational planning, or any scenario involving structured data. Key Features Dynamic Schema-Based Tools: Define your data structure with schemas, and MemoryMesh automatically generates tools for adding, updating, and deleting data. Intuitive Schema Design: Create schemas that guide the AI in generating and connecting nodes, using required fields, enumerated types, and relationship definitions. Metadata for AI Guidance: Use metadata to provide context and structure, helping the AI understand the meaning and relationships within your data. Relationship Handling: Define relationships within your schemas to encourage the AI to create connections between related data points. Informative Feedback: Provides error feedback to the AI, enabling it to learn from mistakes and improve its interactions with the knowledge graph. Event Support: An event system tracks operations, providing insights into how the knowledge graph is being modified. Nodes represent entities or concepts within the knowledge graph, each having a name, nodeType, metadata, and weight.Edges represent relationships between nodes, each having a source node, target node, and edgeType. Schemas are the heart of MemoryMesh and define the data structure with automatically generated tools.