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357M visits/mo+1%#2 Coding & Development
Supermemory
A memory layer and context engineering platform that provides long-term AI agent memory, retrieval, and connectors via a universal API.
$19Starting price
170KMonthly visits
37Popularity
About Supermemory
Supermemory is a memory layer and context engineering platform designed for developers, teams, and enterprises building AI agents and applications that require persistent, cross-session context. It offers a universal memory API that handles storage, chunking, retrieval, and context injection, enabling agents to maintain long-term memory across interactions. The platform features a five-layer context stack tailored for production use cases, including user profiles, a memory graph, hybrid retrieval (vector + keyword) with sub-300ms recall, multi-modal extractors for PDFs, web pages, images, and audio, and connectors to popular services like Notion, Slack, Google Drive, S3, and Gmail, as well as custom data sources. Supermemory supports model-agnostic integration through OpenAI-compatible clients and SDKs in TypeScript, Python, and REST, with compatibility for tools and frameworks such as LangChain, LangGraph, Vercel AI SDK, CrewAI, Zapier, and n8n. Enterprise deployment options include self-hosting, SOC 2 compliance, and data export controls, with no training on customer data. The platform processes over 100 billion tokens monthly and offers a personal app and plugins that share a unified memory across tools.
Key features
- Universal memory API for storage, chunking, retrieval, and context injection
- Five-layer context stack for production use cases
- Hybrid retrieval (vector + keyword) with sub-300ms recall
- Multi-modal extractors for PDFs, web pages, images, and audio
- Connectors for Notion, Slack, Google Drive, S3, Gmail, and custom sources
- OpenAI-compatible clients and SDKs (TypeScript, Python, REST)
- Integrations with LangChain, LangGraph, Vercel AI SDK, CrewAI, Zapier, and n8n
- Enterprise deployment with self-hosting, SOC 2 support, and data export controls
- Personal app and plugins sharing unified memory across tools
- Model-agnostic integration
Use cases
- Building AI agents requiring long-term, cross-session memory
- Enterprise applications needing persistent context and retrieval
- Multi-modal data processing with connectors to cloud services
Pros
- State-of-the-art memory and retrieval with sub-300ms latency for real-time agent interactions
- Unified memory graph combining user profiles, RAG, and structured context for coherent long-term memory
- Multi-modal data ingestion and extraction from PDFs, web pages, images, audio, and custom sources
- Model-agnostic integration via OpenAI-compatible clients and SDKs in TypeScript, Python, and REST
- Enterprise-grade features including SOC 2 compliance, self-hosting, and data export controls
Cons
- Complexity for small projects or teams without dedicated AI infrastructure
- Potential learning curve for configuring advanced features like the memory graph or custom connectors
Supermemory videos
Frequently asked questions about Supermemory
What is Supermemory and what does it do?
Supermemory is a context engineering platform that provides persistent, cross-session memory for AI agents and applications. It handles storage, retrieval, and context injection through a universal memory API, enabling agents to maintain long-term context across interactions.
Who is Supermemory designed for?
Supermemory is designed for developers, teams, and enterprises building AI agents and applications that require persistent context. It suits use cases ranging from AI assistants and research assistants to enterprise knowledge management.
How does Supermemory integrate with existing tools and frameworks?
Supermemory offers connectors to popular services like Notion, Slack, Google Drive, S3, and Gmail, as well as custom data sources. It supports model-agnostic integration through OpenAI-compatible clients and SDKs in TypeScript, Python, and REST, with compatibility for tools such as LangChain, LangGraph, Vercel AI SDK, CrewAI, Zapier, and n8n.
Can Supermemory be self-hosted?
Yes, Supermemory offers enterprise deployment options including self-hosting, SOC 2 compliance, and data export controls. It processes over 100 billion tokens monthly and does not train on customer data.
What types of data can Supermemory extract and process?
Supermemory supports multi-modal extractors for PDFs, web pages, images, and audio. It also provides a real filesystem mount for agents, enabling semantic search and automatic indexing of various file formats.
How do I get started with Supermemory?
Getting started with Supermemory involves installing the SDK, initializing the client, ingesting data, and configuring retrieval. The platform provides quickstart guides in TypeScript, Python, and cURL, allowing users to begin building in minutes.
Supermemory traffic & engagement
supermemory.ai · third-party estimates from Similarweb
Data as of Sep 2026Full AI website ranking →
Monthly visits · Sep 2026170K-18.5% MoM12-month high 244K (Jul 2026)
Rank among AI websites#1,509▼ 160 vs last monthof 8,652 tools on aitoolnavio™
Top marketUnited States44.8%Top 5 countries bring 73% of visits
Average visit2m 13sLonger than 79% of AI sites
Pages per visit3.44More than 82% of AI sites
Bounce rate40%Leave after one page · lower is better
Similarweb global rank#219,950#127,673 in United States
Traffic trend
Last 4 months · grows by one month every month
- Jun 2026240K
- Jul 2026244K+1.9%
- Aug 2026208K−14.8%
- Sep 2026170K−18.5%
Top countries
Share of visits · estimated visits
Other countries: 27.3%
Visits sent by AI assistants
How people reach this site from other AI tools
1.6K a month · 1% of all visits
Compared with similar tools
Coding & Development · Sep 2026
Traffic figures are third-party estimates, good for scale and trends; they can differ from a company's own numbers. Updated monthly.
