T1nker-1220_memories-with-lessons-mcp-server
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The Knowledge Graph Memory Server is a basic implementation of persistent memory using a local knowledge graph, allowing Claude to remember user information across chats and learn from past errors through a lesson system.
The Knowledge Graph Memory Server is designed to provide a persistent memory solution using a local knowledge graph. It enables the storage and retrieval of user information across different interactions, allowing for a more personalized and informed user experience. The server supports the creation and management of entities, relations, and observations, which are the building blocks of the knowledge graph. Additionally, it includes a lesson system that captures knowledge about errors and their solutions, helping to improve the system's performance over time. The server is integrated with various tools and platforms, making it versatile and adaptable to different use cases.
Features
- Entity Management: Create, read, update, and delete entities in the knowledge graph.
- Relation Management: Define and manage directed connections between entities.
- Observation Handling: Add and remove discrete pieces of information about entities.
- Lesson System: Capture and manage knowledge about errors and their solutions.
- File Management: Automatically split files to maintain performance and store data efficiently.
Tools
create_entities
Create a new entity
create_relations
Create relationships between entities
add_observations
Add observations to entities
delete_entities
Delete entities and their relationships
delete_observations
Observation of deleting entities
delete_relations
Delete relationships
read_graph
Read the entire knowledge graph
search_nodes
Search for nodes
open_nodes
Search nodes by name
create_lesson
Create a new course
find_similar_errors
Find similar errors
update_lesson_success
Update course success rate
get_lesson_recommendations
Get relevant course recommendations
