edobez/mcp-memory-py
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A basic implementation of persistent memory using a local knowledge graph, allowing Claude to remember information about the user across chats.
Tools
Functions exposed to the LLM to take actions
create_entities
Create multiple new entities in the knowledge graph.
Args: entities: List of entities to create, each with name, type and observations
Returns: List of newly created entities (excluding any that already existed)
create_relations
Create new relations between entities in the knowledge graph.
Args: relations: List of relations to create, each with from_, to and relationType
Returns: List of newly created relations (excluding any duplicates)
add_observations
Add new observations to existing entities.
Args: observations: List of observations to add, each with entityName and contents
Returns: List of results showing which observations were added to which entities
delete_entities
Delete entities and their associated relations from the graph.
Args: entity_names: List of entity names to delete
delete_observations
Delete specific observations from entities.
Args: deletions: List of deletions, each with entityName and observations to remove
delete_relations
Delete specific relations from the graph.
Args: relations: List of relations to delete
read_graph
Read the entire knowledge graph.
Returns: The complete knowledge graph with all entities and relations
search_nodes
Search for nodes and their relations matching a query string.
Args: query: Search string to match against node names, types and observations
Returns: Subgraph containing matching entities and their interconnecting relations
open_nodes
Get a subgraph containing specific nodes and their interconnecting relations.
Args: names: List of entity names to include
Returns: Subgraph containing the specified entities and relations between them
Prompts
Interactive templates invoked by user choice
No prompts
Resources
Contextual data attached and managed by the client
