MemPalace/mempalace
MemPalace is an open-source, local-first AI memory system that stores and retrieves conversation history verbatim using semantic search, supporting pluggable backends like ChromaDB and integrating ...
Awesome MCP › Knowledge & Memory
shaneholloman/mcp-knowledge-graph
The mcp-knowledge-graph project is an MCP (Model Context Protocol) server designed to provide persistent memory for AI models by utilizing a local knowledge graph. This server enables AI models to retain user information across multiple interactions, enhancing the continuity and personalization of conversations. It is compatible with any AI platform that supports MCP or function calling capabilities, such as Claude, GPT, and Llama. The core concept of the project revolves around a knowledge graph composed of entities, relations, and observations. Entities represent primary nodes in the graph and have unique identifiers, types (like person, organization, event), and associated observations which are atomic facts about the entity. Relations define directed connections between entities, describing how they interact or relate in active voice. Observations are discrete pieces of information attached to entities and can be added or removed independently. The server exposes a comprehensive API with tools to create, read, update, and delete entities, relations, and observations. It supports operations like creating multiple entities or relations, adding or deleting observations, reading the entire graph, searching nodes by query, and retrieving specific nodes. This API design allows flexible and dynamic management of the knowledge graph memory. The project is a fork of the original Memory Server but improves on persistent memory by avoiding ephemeral memory installation methods and allowing a customizable memory file path. It integrates seamlessly with MCP-compatible AI platforms by exposing standard tools through the MCP interface. Usage instructions include configuration examples for Claude Desktop and other AI platforms, emphasizing the ability to specify a custom memory path. The project also provides guidance on system prompts to optimize memory usage during AI interactions, focusing on user identification, memory retrieval, gathering, and updating. Overall, mcp-knowledge-graph is a robust and flexible solution for persistent AI memory using knowledge graphs, enhancing AI's ability to remember and personalize user interactions across sessions.
https://github.com/shaneholloman/mcp-knowledge-graph
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