Supermemory
Universal Memory API for AI apps that remembers and evolves with users
What is Supermemory? Complete Overview
Supermemory is a scalable memory API designed to enhance AI applications with long-term, adaptive memory capabilities. It solves key challenges in AI development, such as context loss, vector database limitations, and the inability of RAG systems to remember user interactions. The platform is built for developers and enterprises looking to create AI agents that retain and evolve user context over time. Supermemory integrates seamlessly with existing AI stacks, offering sub-300ms recall times and handling up to 50 million tokens per user. Its graph-based memory system adapts to user behavior, making it ideal for AI assistants, education platforms, healthcare applications, and enterprise knowledge hubs.
Supermemory Interface & Screenshots
Supermemory Official screenshot of the tool interface
What Can Supermemory Do? Key Features
Adaptive Memory Graph
Supermemory's graph-based memory system dynamically updates user profiles, relationships, and context as data changes. This allows AI agents to maintain accurate, evolving representations of users over time, improving personalization and recall accuracy.
Multi-modal Ingestion
The platform can process and index diverse data types including documents, chats, emails, PDFs, and structured data streams. Automatic cleaning and chunking ensure optimal processing of long-form content.
Blazing Fast Recall
With sub-300ms retrieval times, Supermemory delivers memories up to 25× faster than competitors. The dual-index system (vector + graph database) ensures both semantic understanding and precise keyword matching.
Enterprise-Grade Security
SOC 2 compliant with encryption at rest and in transit. Offers fine-grained access controls and supports on-prem, hybrid, or cloud deployments to meet strict compliance requirements.
Pre-built Connectors
Out-of-the-box integrations with Google Drive, Notion, OneDrive and other popular platforms eliminate custom infrastructure needs. Developers can also build custom connectors for specialized use cases.
Best Supermemory Use Cases & Applications
AI Education Assistants
Learning platforms use Supermemory to create personalized study paths. The system remembers each student's lecture notes, test results, and knowledge gaps to generate adaptive flashcards and quizzes.
Healthcare AI Coordination
Medical practices deploy Supermemory to securely summarize patient records across systems. AI agents can extract key information from medical histories and support clinical decisions with contextual awareness.
Enterprise Knowledge Management
Companies unify wikis, policies, and communications into a single memory layer. New employees ramp up faster with contextual insights, while teams find information across previously siloed systems.
Customer Support Automation
Support chatbots powered by Supermemory remember every conversation history. They learn from user feedback to deliver consistent, personalized assistance across email, chat, and other channels.
How to Use Supermemory: Step-by-Step Guide
Connect to Supermemory using one of the provided SDKs (TypeScript, Python, cURL). The API integrates seamlessly with popular AI platforms like OpenAI and Anthropic.
Ingest data from connected sources or direct uploads. The system automatically processes files, documents, chats, and other unstructured data into clean, indexed memories.
Let Supermemory embed and enrich your data. The platform applies advanced embeddings for semantic understanding and builds relationships across different data points.
Query memories through the API. Retrieve relevant context with sub-300ms latency using semantic search, keyword matching, or hybrid approaches.
Monitor and evolve memories through the admin dashboard. Track usage, recall accuracy, and let the system automatically update or expire outdated information.
Supermemory Pros and Cons: Honest Review
Pros
Considerations
Is Supermemory Worth It? FAQ & Reviews
Supermemory combines vector search with a dynamic graph database, enabling relationship tracking and memory evolution that pure vector solutions can't provide. This results in more human-like understanding and recall.
Yes, Supermemory offers on-prem and hybrid deployment options for enterprises with strict data residency or security requirements, alongside standard cloud hosting.
The platform handles diverse formats including PDFs, documents, chat logs, emails, and structured data streams. It automatically cleans and chunks long-form content for optimal processing.
Most developers implement basic functionality in under 5 minutes using our SDKs. Full integration typically takes less than a day thanks to pre-built connectors and comprehensive documentation.
Yes, the platform is SOC 2 compliant with encryption at rest and in transit. Healthcare customers can deploy on-premises for additional HIPAA compliance when required.