Knowledge Graph Memory Server

MCPOpen SourceMIT17.5

by s2005 • Search & Retrieval

This server manages persistent memory using a local knowledge graph, enabling memory retention across user interactions.

Example Use Cases

1
Remember and retrieve user-specific information across chats.
2
Manage and query knowledge graphs representing user data.
3
Personalize responses based on previous interactions and stored memory.

Description

The Knowledge Graph Memory Server implements a persistent memory system via a local knowledge graph to help models like Claude retain user information over multiple interactions. It allows for the creation, relation, and observation of entities, enhancing personalized chat experiences. It offers an API for managing entities, relations, and observations, thus facilitating dynamic memory updates and retrievals in AI applications.

Capabilities(9 total)

Tools (9)

create_entities

Create multiple new entities in the knowledge graph

entities:array*

create_relations

Create multiple new relations between entities in the knowledge graph. Relations should be in active voice

relations:array*

add_observations

Add new observations to existing entities in the knowledge graph

observations:array*

delete_entities

Delete multiple entities and their associated relations from the knowledge graph

entityNames:array*

delete_observations

Delete specific observations from entities in the knowledge graph

deletions:array*

Quick Actions

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Security

Scanned 2 month(s) ago

Risk Level

MINIMAL

Read-only data retrieval, no side effects

Trust Score

C56/100

6/17 checks passed

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Quick Stats

Service TypeMCP

Pricing ModelFree

Capabilities9 Tools / 0 Prompts / 0 Resources

Owners2005

CategorySearch & Retrieval

DependenciesStandalone

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