supermemory™

Paid

The context cloud for agents

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Type

Saas

Company

supermemory™

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About 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? supermemory™

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)

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.

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

State-of-the-art memory with knowledge graph for evolving context
Sub-300ms recall latency at scale
Works with any LLM provider, model-agnostic
Self-hostable and SOC 2 Type II compliant for enterprise security
Automatic real-time sync with popular tools via connectors
Handles multiple data types including text, images, audio, PDFs
Pre-built plugins for Claude, Cursor, Codex, and other AI tools
Simple usage-based pricing with a free tier

Best For

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.