II.
Page overview
Reference · livepage:docs-supermemory-research-raw-04-introduction
Supermemory Introduction overview
Inspect the raw attributes, linked wiki pages, and inbound or outbound graph edges for page:docs-supermemory-research-raw-04-introduction.
Attributes
nodeKind
Page
sourcePath
docs/supermemory-research/raw/04-introduction.md
sourceKind
repo-docs
title
Supermemory Introduction
displayName
Supermemory Introduction
slug
docs/supermemory-research/raw/04-introduction
articlePath
wiki/docs/supermemory-research/raw/04-introduction.md
article
# Supermemory Introduction
Source: https://supermemory.ai/docs/introduction, https://supermemory.ai/docs/intro
## Core Definition
Supermemory is "the Memory API for the AI era" -- infrastructure for AI agent memory and context management. Achieves state-of-the-art performance on LongMemEval and LoCoMo benchmarks.
## Key Characteristics
- **Scalability** -- handles growing data volumes
- **Performance** -- "hyper fast" operations
- **Affordability** -- cost-effective pricing
- **Production-Ready** -- suitable for real-world deployment
## Main Components
- **Memory APIs**: Composable APIs for memory operations and RAG
- **User Profiles**: Contextual intelligence for LLMs combining static and dynamic facts
- **SDK Integration**: Multiple SDKs for Python and TypeScript
- **Connectors**: Real-time sync with Google Drive, Gmail, Notion, OneDrive, GitHub, web crawlers
## Operational Flow
1. **Input**: Users submit text, files, and chat conversations
2. **Processing**: Supermemory indexes them and builds a semantic understanding graph tied to entities (users, documents, projects, organizations)
3. **Retrieval**: At query time, the most contextually relevant information reaches the language model
## Context Delivery Methods
- **Memory API** extracts and maintains evolving user facts in real-time
- **User Profiles** combine static baseline with dynamic episodic details
- **RAG Integration** provides semantic search with metadata filtering and contextual chunking
All three share the same context pool when using identical user identifiers.
documents
[]
Outgoing edges
None.
Incoming edges
contains_page1
- page:docs-supermemory-research·PageSupermemory Deep Research