This MCP server implementation provides a knowledge graph-based memory system for AI assistants. Developed by BRO3886, it offers tools for creating, managing, and querying a graph structure of entities, relations, and observations. The server supports features like custom memory file paths, timestamping, and advanced search capabilities. It's designed for use cases requiring persistent, structured memory for AI interactions, such as maintaining context in long-term conversations or building knowledge bases from user interactions.
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Fetch the current timestamp.
Specify a custom path for the memory file.
Create new entities in the memory graph. Requires parameters defining the entity details.
Establish relationships between existing entities in the memory graph.
Add observations to the memory graph, including timestamps.
Remove specified entities from the memory graph.
Remove specific observations from the memory graph.
Remove specified relations between entities in the memory graph.
Retrieve the current state of the memory graph.
Search for specific nodes within the memory graph.
Open and access specific nodes in the memory graph.