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mcp-knowledge-graph

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mcp-knowledge-graph - npm Package Compare versions

Comparing version
1.3.0
 to
1.3.1
+18
-18
dist/index.js

@@ -320,7 +320,7 @@ #!/usr/bin/env node

name: "aim_memory_store",
description: `Create multiple new entities in the knowledge graph.
description: `Store new memories. Use this to remember people, projects, concepts, or any information worth persisting.
AIM (AI Memory) provides persistent memory for AI assistants using a local knowledge graph. The 'aim_' prefix groups all memory tools together.
AIM (AI Memory) provides persistent memory for AI assistants. The 'aim_memory_' prefix groups all memory tools together.
WHAT'S STORED: Entities (people, projects, concepts), relations between them, and observations (facts about entities).
WHAT'S STORED: Memories have a name, type (person/project/concept/etc.), and observations (facts about them).

@@ -379,5 +379,5 @@ DATABASES: Use the 'context' parameter to organize memories into separate graphs:

name: "aim_memory_link",
description: `Create relations (edges) between entities in the knowledge graph.
description: `Link two memories together with a relationship. Use this to connect related information.
RELATION STRUCTURE: Each relation has 'from' (subject), 'relationType' (verb), and 'to' (object).
RELATION STRUCTURE: Each link has 'from' (subject), 'relationType' (verb), and 'to' (object).
- Use active voice verbs: "manages", "works_at", "knows", "attended", "created"

@@ -427,5 +427,5 @@ - Read as: "from relationType to" (e.g., "Alice manages Q4_Project")

name: "aim_memory_add_facts",
description: `Add new observations (facts) to existing entities.
description: `Add new facts to an existing memory. Use this to append information to something already stored.
IMPORTANT: Entity must already exist - use aim_memory_store first. Throws error if entity not found.
IMPORTANT: Memory must already exist - use aim_memory_store first. Throws error if not found.

@@ -472,3 +472,3 @@ RETURNS: Array of {entityName, addedObservations} showing what was added (duplicates are ignored).

name: "aim_memory_forget",
description: `Delete multiple entities and their associated relations from the knowledge graph.
description: `Forget memories. Removes memories and their associated links.

@@ -507,3 +507,3 @@ DATABASE SELECTION: Entities are deleted from the specified database's knowledge graph.

name: "aim_memory_remove_facts",
description: `Delete specific observations from entities in the knowledge graph.
description: `Remove specific facts from a memory. Keeps the memory but removes selected observations.

@@ -552,3 +552,3 @@ DATABASE SELECTION: Observations are deleted from entities within the specified database's knowledge graph.

name: "aim_memory_unlink",
description: `Delete multiple relations from the knowledge graph.
description: `Remove links between memories. Keeps the memories but removes their connections.

@@ -595,3 +595,3 @@ DATABASE SELECTION: Relations are deleted from the specified database's knowledge graph.

name: "aim_memory_read_all",
description: `Read the entire knowledge graph.
description: `Read all memories in a database. Returns every stored memory and their links.

@@ -630,10 +630,10 @@ FORMAT OPTIONS:

name: "aim_memory_search",
description: `Fuzzy search for entities in the knowledge graph. Use this when you don't know exact entity names.
description: `Search memories by keyword. Use this when you don't know the exact name of what you're looking for.
WHAT IT SEARCHES: Matches query (case-insensitive) against:
- Entity names (e.g., "John" matches "John_Smith")
- Entity types (e.g., "person" matches all person entities)
- Observation content (e.g., "Seattle" matches entities with Seattle in their observations)
- Memory names (e.g., "John" matches "John_Smith")
- Memory types (e.g., "person" matches all person memories)
- Facts/observations (e.g., "Seattle" matches memories mentioning Seattle)
VS aim_memory_get: Use search when you need fuzzy matching. Use open_nodes when you know exact entity names.
VS aim_memory_get: Use aim_memory_search for fuzzy matching. Use aim_memory_get when you know exact names.

@@ -672,5 +672,5 @@ FORMAT OPTIONS:

name: "aim_memory_get",
description: `Retrieve specific entities by exact name. Use this when you know the exact entity names you want.
description: `Retrieve specific memories by exact name. Use this when you know exactly what you're looking for.
VS aim_memory_search: Use open_nodes for exact name lookup. Use search_nodes when you need fuzzy matching or don't know exact names.
VS aim_memory_search: Use aim_memory_get for exact name lookup. Use aim_memory_search for fuzzy matching or when you don't know exact names.

@@ -677,0 +677,0 @@ RETURNS: Requested entities and relations between them. Non-existent names are silently ignored.

+1
-1
package.json
{
"name": "mcp-knowledge-graph",
"version": "1.3.0",
"version": "1.3.1",
"description": "MCP server enabling persistent memory for AI models through a local knowledge graph",

@@ -5,0 +5,0 @@ "license": "MIT",