OpenAI Vector Memory provides semantic memory storage and retrieval for TypeWhisper using the OpenAI Vector Store API. Unlike the file-based memory plugin, this plugin uses vector embeddings for semantic search - meaning it can find relevant memories based on meaning, not just keyword matching.
Features
Semantic search using vector embeddings
Cloud-based storage via OpenAI Vector Store API
Finds contextually relevant memories even without exact keyword matches
Automatic embedding generation for stored content
Configuration
API Key - Your OpenAI API key with access to the Vector Store API.
Vector Store ID - The ID of the vector store to use. You can create one in the OpenAI dashboard.
Setup
Create an OpenAI API key at platform.openai.com
Create a vector store in the OpenAI dashboard or via the API
Open TypeWhisper Settings > Plugins
Find the OpenAI Vector Memory plugin and click Configure
Enter your API key and vector store ID
The plugin will automatically store and retrieve memories as you use TypeWhisper
