About supermemory™
supermemory™ — 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.
Top use cases
- Personalizing LLMs for users.
- Adding automatic long-term context across conversations for agentic apps.
- Building memory infrastructure without starting from scratch.
- Indexing documents, video, or structured product data at scale.
- Connecting to existing data sources like Notion, Google Drive, and custom CRMs.
- Flow uses Supermemory to build the cursor for writing.
- Medtech Vendors use Supermemory to search through 500k vendors.
- Mixus uses Supermemory to power co-intelligence Agentic platform.
Built for
Key features
- Universal memory API for the AI era
- Unlimited context API for LLMs
- Enterprise-Grade Performance at Any Scale (billions of data points, low-latency retrieval)
- Seamless Integration Across Teams & Tools (Notion, Google Drive, CRMs)
- Secure by Design, Fully Controllable deployment (cloud, on-prem, on-device)
- Model-agnostic APIs (works with any LLM provider)
- Sub-400ms latency at scale
- Best in class performance (stronger precision and recall)
- Works with AI SDK, Langchain, and more
- Language Agnostic SDKs (Python, Javascript)
Pros & cons
Pros
- Eliminates the need to build retrieval from scratch, saving time and resources.
- Enables personalization of LLMs for enhanced user experiences.
- Provides unlimited context for AI applications, improving conversation depth.
- Offers automatic long-term context across conversations.
- Ensures enterprise-grade performance and scalability for billions of data points with low latency.
- Seamlessly integrates with existing tools and data sources (e.g., Notion, Google Drive, CRMs).
- Secure by design with full control over data storage and compliance (cloud, on-prem, on-device).
- Model-agnostic APIs prevent vendor lock-in, allowing flexibility with LLM providers.
- Achieves sub-400ms latency at scale with re-imagined RAG for faster and more efficient performance.
- Delivers stronger precision and recall at every benchmark.
- Easy to start and deploy, with SDKs for Python and Javascript, enabling deployment in days, not months.
- Addresses common pain points like expensive/slow vector databases, complex embedding model choices, format parsing issues, exploding scaling costs, connection sync failures, and multimodal support challenges.
Company information
- supermemory™ Support Email & Customer service contact & Refund contact etc. More Contact, visit the contact us page()
- supermemory™ Company supermemory™ Company name: . supermemory™ Company address: . More about supermemory™, Please visit the about us page() .
- supermemory™ Login supermemory™ Login Link:
- supermemory™ Sign up supermemory™ Sign up Link:
- supermemory™ Pricing supermemory™ Pricing Link: https://console.supermemory.ai/
Frequently asked questions
What is Supermemory?
Supermemory is a universal memory API for the AI era that helps developers personalize LLMs and manage long-term context without building retrieval from scratch.
How does Supermemory handle context for LLMs?
It provides an unlimited context API that offers automatic long-term context across conversations, integrating directly with LLM providers like OpenAI by changing the base URL.
What kind of data can Supermemory handle?
Supermemory can index documents, video, structured product data, and supports various formats like Markdown, HTML, PDF, and Word docs, as well as images and audio/video.
Is Supermemory scalable?
Yes, it's built for enterprise-grade performance, handling billions of data points with low-latency retrieval and designed to prevent performance degradation as data grows.
Can Supermemory be deployed on-premise?
Yes, Supermemory offers full control over data storage and can be deployed in the cloud, on-prem, or directly on-device.
Does Supermemory work with any LLM?
Yes, it features model-agnostic APIs, allowing it to work with any LLM provider without lock-in.
How fast is Supermemory?
It's built for speed and scale, achieving sub-400ms latency at scale and delivering best-in-class precision and recall.
What integrations does Supermemory support?
It integrates with existing stacks like Notion, Google Drive, custom CRMs, and works with AI SDK, Langchain, and more. SDKs are available for Python and Javascript.
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