Vector Memory Skill

This skill provides vector-based semantic memory storage using embeddings for intelligent recall by meaning.

When to Use

• You need semantic search (find memories by meaning, not keywords)
• You want to retrieve similar documents or conversations
• You're building an agent that needs context-aware memory
• You need to cluster or group related memories

Capabilities

• vstore: Store text with automatic embedding generation
• vsearch: Search memories by semantic similarity
• vdelete: Remove a memory by ID
• vlist: List all stored memories
• vsimilar: Find memories similar to a given ID
• vclear: Clear all memories