supermemory™
A universal memory API that gives LLM apps long-term context and personalization.
Introduction
supermemory is a memory API for AI applications. It stores content such as text, URLs, PDFs, and documents, and returns relevant context to a model so an app can personalize responses across conversations. It works with any LLM provider and offers cloud, on-prem, and on-device deployment options. The company cites sub-400ms latency.
- Added on
- Nov 2, 2026
- Website
- supermemory.ai
Product information
What is supermemory™?
A memory API that adds long-term context and personalization to LLM applications.
How to use supermemory™?
Add memories by sending content to the memories endpoint, and search them with a query. For OpenAI, you can point the client's base URL at the supermemory endpoint for automatic context. SDKs are available for Python and JavaScript.
Core features of supermemory™
- Universal memory API
- Unlimited context API for LLMs
- Model-agnostic design
- Cloud, on-prem, or on-device deployment
- Python and JavaScript SDKs
- Connectors for Notion and Google Drive
Use cases of supermemory™
- 1Personalizing LLM responses for users
- 2Adding long-term context to agent apps
- 3Indexing documents and structured product data
- 4Connecting Notion, Google Drive, and custom CRMs
Frequently asked questions about supermemory™
What is supermemory?+
It is a universal memory API that helps developers personalize LLMs and manage long-term context without building retrieval from scratch.
Does supermemory work with any LLM?+
Yes. Its APIs are model-agnostic and work with any LLM provider.
What integrations does supermemory support?+
It works with Notion, Google Drive, custom CRMs, the AI SDK, and LangChain, and offers SDKs for Python and JavaScript.
Which category is supermemory™ in?+
supermemory™ is listed under AI Code Editor.