supermemory™

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Introduction:
Universal memory API for AI, personalizes LLMs, provides unlimited context, and simplifies retrieval.
Added on:
May 16 2025
Monthly Visitors:
174.2K
Social & Email:
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supermemory™ Product Information

What is 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.

How to use supermemory™?

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'`).

supermemory™'s Core 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)

supermemory™'s Use Cases

#1

Personalizing LLMs for users.

#2

Adding automatic long-term context across conversations for agentic apps.

#3

Building memory infrastructure without starting from scratch.

#4

Indexing documents, video, or structured product data at scale.

#5

Connecting to existing data sources like Notion, Google Drive, and custom CRMs.

#6

Flow uses Supermemory to build the cursor for writing.

#7

Medtech Vendors use Supermemory to search through 500k vendors.

#8

Mixus uses Supermemory to power co-intelligence Agentic platform.

FAQ from supermemory™

What is Supermemory?

How does Supermemory handle context for LLMs?

What kind of data can Supermemory handle?

Is Supermemory scalable?

Can Supermemory be deployed on-premise?

Does Supermemory work with any LLM?

How fast is Supermemory?

What integrations does Supermemory support?

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  • supermemory™ Pricing

    supermemory™ Pricing Link: https://console.supermemory.ai/

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Analytic of supermemory™

supermemory™ Website Traffic Analysis

Visit Over Time

Monthly Visits
174.2K
Avg.Visit Duration
00:01:11
Page per Visit
3.55
Bounce Rate
42.55%
Feb 2025 - May 2026 All Traffic

Geography

Top 5 Regions

United States
32.44%
India
12.72%
Nigeria
4.88%
Canada
3.84%
Thailand
3.71%
Feb 2025 - May 2026 Desktop Only

Traffic Sources

Direct
51.12%
SearchOrganic
29.23%
Referrals
8.67%
SocialOrganic
7.26%
GenAi
1.81%
DisplayAds
0.93%
Mail
0.75%
SocialPaid
0.23%
Affiliate
0.00%
SearchPaid
0.00%
Feb 2025 - May 2026 Worldwide Desktop Only

Top Keywords

Keyword
Traffic
Cost Per Click
supermemory
25.9K
$ 5.38
supermemory ai
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$ 2.27
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$ 5.25
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