aboutsummaryrefslogtreecommitdiff
path: root/packages/tools/package.json
Commit message (Collapse)AuthorAgeFilesLines
* feat(@supermemory/tools): capture assitant responses with filtered memory (#539)MaheshtheDev2025-10-281-1/+1
| | | | | | | | | | | | | | | ### 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
* fix: openai sdk packaging issue (#532)MaheshtheDev2025-10-271-1/+1
|
* feat: withSupermemory for openai sdk (#531)MaheshtheDev2025-10-271-2/+2
| | | | | | | | | | | | | | | ### 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
* add props interface exportMahesh Sanikommmu2025-10-221-1/+1
|
* fix(tools): update the docs for conversationalMahesh Sanikommmu2025-10-191-1/+1
|
* create memory adding option in vercel sdk (#484)sohamd222025-10-111-1/+1
| | | | | | | | | | | | | | | | | | | | | | | | ### TL;DR Added support for automatically saving user messages to Supermemory. ### What changed? - Added a new `addMemory` option to `wrapVercelLanguageModel` that accepts either "always" or "never" (defaults to "never") - Implemented the `addMemoryTool` function to save user messages to Supermemory - Modified the middleware to check the `addMemory` setting and save the last user message when appropriate - Initialized the Supermemory client in the middleware to enable memory storage ### How to test? 1. Set the `SUPERMEMORY_API_KEY` environment variable 2. Use the `wrapVercelLanguageModel` function with the new `addMemory: "always"` option 3. Send a user message through the model 4. Verify that the message is saved to Supermemory with the specified container tag ### Why make this change? This change enables automatic memory creation from user messages, which improves the system's ability to build a knowledge base without requiring explicit memory creation calls. This is particularly useful for applications that want to automatically capture and store user interactions for future reference.
* feat: ai sdk language model withSupermemory (#446)MaheshtheDev2025-10-101-1/+2
|
* Revert "test(ai-sdk): streamText and generateText for ai sdk" (#466)Dhravya Shah2025-10-081-5/+2
|
* test(ai-sdk): streamText and generateText for ai sdk (#451)Mahesh Sanikommu2025-10-081-2/+5
|
* fix: tools filesDhravya Shah2025-10-021-1/+4
|
* feat: Claude memory integrationDhravya Shah2025-09-291-2/+4
|
* bump versionDhravya Shah2025-09-241-1/+1
|
* feat: new tools package (#407)CodeWithShreyans2025-09-021-0/+53