external-memory

External Memory Skill

This skill provides access to a persistent, searchable semantic memory system via the MCP (Model Context Protocol) server.

Tools Overview

The external-memory MCP server provides these tools:

Tool	Description
memory_store	Persist text with optional namespace/tags/metadata
memory_search	Semantic search using cosine similarity
memory_get	Retrieve a single memory by ID
memory_delete	Delete a memory by ID
memory_list	List memories with filtering and pagination
memory_stats	Get statistics (counts, namespaces)
memory_update	Update an existing memory

Storing Memories

Call memory_store to persist information:

# Basic storage
memory_store(content="Alice prefers dark mode", namespace="users")

# With tags
memory_store(
    content="The API endpoint is https://api.example.com/v1",
    namespace="config",
    tags=["api", "production"]
)

# With metadata
memory_store(
    content="Meeting with Bob at 3pm",
    namespace="meetings",
    metadata={"date": "2026-04-13", "attendees": ["alice", "bob"]}
)

Parameters:

• content (required): The text to store
• namespace: Logical collection (default: "default")
• tags: Optional list of tags for filtering
• metadata: Arbitrary JSON metadata
• id: Optional stable ID for upserts

Searching Memories

Call memory_search for semantic similarity search:

# Basic search
memory_search(query="what does Alice prefer?")

# With filters
memory_search(
    query="API configuration details",
    namespace="config",
    tags=["api"],
    top_k=10,
    min_score=0.7
)

Returns results sorted by cosine similarity score.

Retrieving Specific Memories

# By ID
memory_get(id="uuid-here")

# List with filtering
memory_list(namespace="users", tags=["alice"], limit=20, offset=0)

Updating and Deleting

# Update
memory_update(id="uuid", content="new content", tags=["updated"])

# Delete
memory_delete(id="uuid")