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OpenAI Vector Memory

Bundled

by TypeWhisper

Memory macOS
Source Code
OpenAI Vector Memory settings

About

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

  1. Create an OpenAI API key at platform.openai.com
  2. Create a vector store in the OpenAI dashboard or via the API
  3. Open TypeWhisper Settings > Plugins
  4. Find the OpenAI Vector Memory plugin and click Configure
  5. Enter your API key and vector store ID
  6. The plugin will automatically store and retrieve memories as you use TypeWhisper