supermemory™
Supermemory offers a universal memory API for AI applications, enabling personalized large language models, unlimited context management, and simplified information retrieval.
About supermemory™
Supermemory is a versatile memory API designed for the AI era, allowing developers to integrate automatic long-term context into applications. It eliminates the need to build retrieval systems from scratch by providing an API that supports unlimited context for large language models. Built for enterprise use, it ensures high performance at any scale, seamless team collaboration, and data ownership with flexible deployment options including cloud, on-premises, or on-device. Compatible with any LLM provider, Supermemory maintains sub-400ms latency while delivering exceptional accuracy and recall.
How to Use
Integrate Supermemory's API or SDKs into your applications to enhance functionality. To add memories, send a POST request to https://api.supermemory.ai/v3/memories with your data (text, URL, PDF). Search memories by making a GET request with your query. Connect external tools like OneDrive via dedicated endpoints. For OpenAI integration, update your API base URL to connect through Supermemory for unified long-term context. SDKs for Python and JavaScript simplify implementation, with commands like 'pip install supermemory' and 'npm install supermemory'.
Features
- Universal memory API tailored for AI applications
- Seamless integration with tools like Notion, Google Drive, and CRMs
- Supports unlimited context for large language models
- Compatible with AI SDKs, Langchain, and other frameworks
- Language-agnostic SDKs for Python and JavaScript
- Achieves sub-400ms latency at enterprise scale
- Model-agnostic API compatible with any LLM provider
- Delivers high-precision retrieval performance
- Secure, flexible deployment options including cloud, on-premises, and on-device
- Handles billions of data points with low-latency access
Use Cases
- Implementing long-term conversation context in AI chatbots
- Building scalable memory infrastructure without starting from scratch
- Personalizing LLMs for individual users
- Creating writing assistants with persistent memory
- Indexing large volumes of documents, videos, or product data
- Powering co-intelligent platforms for enterprise clients
- Integrating with existing data sources like Notion and Google Drive
- Enabling search across extensive vendor databases in Medtech
Best For
Pros
- Quick deployment with SDKs for Python and JavaScript, enabling setup within days.
- Provides superior precision and recall compared to competitors.
- Ensures enterprise-grade scalability and low latency for billions of data points.
- Full control over data with secure, flexible deployment options.
- Enables personalized LLMs for improved user experiences.
- Supports automatic long-term context across conversations.
- Vendor-neutral APIs facilitate easy switching between LLM providers.
- Addresses common challenges like slow vector searches and format issues.
- Reduces development time by eliminating the need to build retrieval systems.
- Integrates effortlessly with existing tools and data sources.
- Offers unlimited context for richer AI interactions.
- Delivers fast, scalable retrieval with optimized RAG techniques.