memory-mcp-server
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A Model Context Protocol server that provides knowledge graph management capabilities, enabling LLMs to maintain memory across conversations.
The Memory MCP Server is a Swift implementation of a Model Context Protocol server designed to manage knowledge graphs. It allows large language models (LLMs) to create, read, update, and delete entities and relations within a persistent knowledge graph. This capability is crucial for AI assistants to maintain memory across conversations, ensuring continuity and context retention. The server supports macOS 14.0 or later, with a Go language implementation available for broader platform support. It features a robust system for managing entities and their relationships, tracking observations over time, and performing powerful searches within the knowledge graph. The data is stored persistently in a JSON format, allowing for easy retrieval and management.
Features
- Knowledge Graph Storage: Maintain a persistent graph of entities and their relationships.
- Entity Management: Create, retrieve, update, and delete entities with custom types.
- Relation Tracking: Define and manage relationships between entities in active voice.
- Observation System: Add and remove observations about entities over time.
- Powerful Search: Find relevant nodes by name, type, or observation content.
Tools
create_entities
Create multiple new entities in the knowledge graph.
create_relations
Create multiple new relations between entities.
add_observations
Add new observations to existing entities.
delete_entities
Delete multiple entities and their associated relations.
delete_observations
Delete specific observations from entities.
delete_relations
Delete multiple relations from the knowledge graph.
read_graph
Read the entire knowledge graph.
search_nodes
Search for nodes in the knowledge graph based on a query.
open_nodes
Open specific nodes in the knowledge graph by their names.
