### Added streaming support to the Supermemory middleware and improved memory handling in the AI SDK integration.
### What changed?
- Refactored the middleware architecture to support both streaming and non-streaming responses
- Extracted memory prompt functionality into a separate module (`memory-prompt.ts`)
- Added memory saving capability for streaming responses
- Improved the formatting of memory content with a "User Supermemories:" prefix
- Added utility function to filter out supermemories from content
- Created a new streaming example in the test app with a dedicated route and page
- Updated version from 1.3.0 to 1.3.1 in package.json
- Simplified installation instructions in [README.m](http://README.md)d
### TL;DR
Added OpenAI SDK middleware support for SuperMemory integration, allowing direct memory injection without AI SDK dependency.
### What changed?
- Added `withSupermemory` middleware for OpenAI SDK that automatically injects relevant memories into chat completions
- Implemented memory search and injection functionality for OpenAI clients
- Restructured the OpenAI module to separate tools and middleware functionality
- Updated README with comprehensive documentation and examples for the new OpenAI middleware
- Added test implementation with a Next.js API route example
- Reorganized package exports to support the new structure
- Changed the logo image source in App.tsx to use a file based svg rather than url one.
- Enhanced the loading indicator with an animated SVG.
- Adjusted styles for better alignment and spacing in the loading section.
- Added the dark-transparent.svg file to the public directory.
### TL;DR
Added support for conversation grouping in Supermemory middleware through a new `conversationId` parameter.
### What changed?
- Added a new `conversationId` option to the `withSupermemory` function to group messages into a single document for contextual memory generation
- Updated the middleware to use this conversation ID when adding memories, using a `customId` format of `conversation:{conversationId}`
- Created a new `getConversationContent` function that extracts the full conversation content from the prompt parameters
- Enhanced memory storage to save entire conversations rather than just the last user message
- Updated documentation and examples to demonstrate the new parameter usage
### How to test?
1. Import the `withSupermemory` function from the package
2. Create a model with memory using the new `conversationId` parameter:
```typescript
const modelWithMemory = withSupermemory(openai("gpt-4"), "user-123", {
conversationId: "conversation-456",
mode: "full",
addMemory: "always"
})
```
3. Use the model in a conversation and verify that messages are grouped by the conversation ID
4. Check that memories are being stored with the custom ID format `conversation:{conversationId}`
### Why make this change?
This enhancement improves the contextual understanding of the AI by allowing related messages to be grouped together as a single conversation document. By using a conversation ID, the system can maintain coherent memory across multiple interactions within the same conversation thread, providing better context retrieval and more relevant responses.
The issue is whenever a user is trying to log in with an email and a one-time code, the Chrome extension is not able to authenticate. The fix is to add a callback URL with a query parameter of `extension-auth-success` equal to `true`, which will allow the Chrome extension to identify and verify the auth whenever a user is trying to log in into the Chrome extension.
