Supermemory is a universal memory API designed for the AI era—offering a modern alternative to tools like Obsidian, Notion, Google Keep, Evernote, and Roam Research. It simplifies the process of building retrieval systems and enables personalized context for LLMs to enhance AI applications.
Key features:
- Seamless Integration: Connects directly to existing stacks like Notion, Google Drive, and custom CRMs through flexible APIs and SDKs.
- Enterprise-Grade Performance: Handles billions of data points with low-latency retrieval, suitable for indexing documents, video, and structured data.
- Model-Interoperable APIs: Works with any LLM provider, preventing vendor lock-in and allowing switching between models.
- Secure and Controllable: Offers deployment options in the cloud, on-premise, or on-device, providing full control over data storage.
- SDKs: Available for Python and Javascript.
Use Cases:
- Contextual AI Agents: Enhances AI agents by providing them with long-term memory and context across conversations.
- Personalized LLMs: Allows developers to personalize LLMs for their users, improving the relevance and accuracy of AI responses.
- Efficient Data Retrieval: Simplifies the process of retrieving relevant information from large datasets, improving the performance of AI applications.