Supermemory™
Universal memory API for AI, personalizes LLMs, provides unlimited context, and simplifies retrieval.
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Supermemory is a universal memory API for the AI era, designed to help developers stop building retrieval from scratch and personalize LLMs for their users. It provides an unlimited context API that offers automatic long-term context across conversations. Built for developers who ship, it handles enterprise-grade performance at any scale, seamlessly integrates across teams and tools, and allows users to own their data while maintaining compliance with secure and controllable deployment options (cloud, on-prem, on-device). It is model-agnostic, works with any LLM provider, and delivers sub-400ms latency with best-in-class precision and recall.
Supermemory can be used by integrating its API or SDKs into your applications. To add memories, make a POST request to `https://api.supermemory.ai/v3/memories` with content (text, URL, or PDF) and optional metadata. To search memories, make a GET request to the same endpoint with a query `q`. To connect apps like OneDrive, use specific connection endpoints (e.g., `https://api.supermemory.ai/v3/connections/onedrive`). For OpenAI integration, simply change your OpenAI client's `baseUrl` to `https://api.supermemory.ai/v3/https://api.openai.com/v1/` for automatic long-term context. SDKs are available for Python (`pip install 'supermemory'`) and Javascript (`npm install 'supermemory'`).
Choose this if you want an AI that boosts your memory and learning skills, making it easier to retain info and recall it when you need it most.
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