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Knowledge Management · AI Chatbot
Memory Knowledge Graph
okooo5km/memory-mcp-server
A Model Context Protocol server that provides knowledge graph management capabilities. This server enables LLMs to create, read, update, and delete entities and relations in a persistent knowledge graph, helping AI assistants maintain memory across conversations. This is a Swift implementation of the official TypeScript Memory MCP Server.
Install
Client configuration
{
"mcpServers": {
"memory": {
"command": "memory-mcp-server",
"env": {
"MEMORY_FILE_PATH": "<MEMORY_FILE_PATH>"
}
}
}
}Environment variables
MEMORY_FILE_PATH- GitHub stars
- 90
- Author
- @okooo5km
- Category
- Knowledge Management, AI Chatbot
- License
- MIT
- Updated
- Oct 6, 2026
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
Persistent Storage: Data persists between sessions in a simple JSON format
Tools (9)
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
Details on this page are taken from the project's README. Open README
Supported clients
Clients mentioned in this server's README:
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[!WARNING] DevDocs Status: Not publicly maintained. Enhanced internal version at CyberAGI — public release coming soon. If you have any questions please reach out to info@cyberagi.ai.