Memento MCP Knowledge Graph

MCPOpen SourceMIT64.7

by gannonh • Search & Retrieval

Memento MCP is a scalable knowledge graph memory system for long-term data persistence and retrieval.

Example Use Cases

1
Persistent long-term memory capabilities for LLMs
2
Perform semantic searches using high-dimensional vector embeddings
3
Manage and explore temporal changes in knowledge graphs

Description

Memento MCP serves as a high-performance knowledge graph memory system that supports semantic retrieval, contextual recall, and temporal awareness. It provides long-term ontological memory to LLM clients by integrating with Neo4j for unified graph storage and vector search. This system allows for advanced features like semantic search, temporal awareness, and confidence decay in entities and relations, making it highly adaptive and resilient.

Capabilities(17 total)

Tools (17)

create_entities

Create multiple new entities in your Memento MCP knowledge graph memory system

entities:array*

create_relations

Create multiple new relations between entities in your Memento MCP knowledge graph memory. Relations should be in active voice

relations:array*

add_observations

Add new observations to existing entities in your Memento MCP knowledge graph memory

observations:array*strength:numberconfidence:numbermetadata:object

delete_entities

Delete multiple entities and their associated relations from your Memento MCP knowledge graph memory

entityNames:array*

delete_observations

Delete specific observations from entities in your Memento MCP knowledge graph memory

deletions:array*

Quick Actions

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Security

Scanned 3 month(s) ago

Risk Level

MINIMAL

Read-only data retrieval, no side effects

Trust Score

B65/100

11/17 checks passed

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Quick Stats

Service TypeMCP

Pricing ModelFree

Capabilities17 Tools / 0 Prompts / 0 Resources

Ownergannonh

CategorySearch & Retrieval

DependenciesStandalone

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