MemoryIndependent

Supermemory

Universal Memory API for AI apps

Supermemory gives your agents state-of-the-art memory, RAG, user profiles, connectors, and extractors — all built in. Extremely low latency. Works with any model. Built on Postgres and Cloudflare Durable Objects, it scales to 50 million tokens per user and handles over 5 billion tokens daily.

Use Cases

  • Long-running autonomous company operations: CFO agents that remember every financial decision across quarters
  • Multi-agent coordination: Shared memory graph so sales agents know what support already told the customer
  • Customer-facing agents: Support agents that remember every conversation and never ask the same question twice
  • Content operations: Agents that maintain brand voice and campaign history across months of execution
  • Healthcare and legal compliance: Persistent patient records and case history with HIPAA-ready security
  • Education AI: Tutors that adapt to each student's knowledge graph over time

Key Features

Hybrid Memory + RAG

Combines memory and retrieval-augmented generation for better context and reduced latency

50M Tokens Per User

Scale far beyond context window limits — 50 million tokens per user with sub-100ms response times

Persistent User Profiles

Agents remember roles, preferences, past actions, and user state across sessions and restarts

Auto-Sync Connectors

Connect Google Drive, Notion, OneDrive, S3, web pages — automatic ingestion, chunking, embedding

Graph-Based Memory

Builds long-term adaptive memory graphs that infer relationships and user intent

Self-Hosted Option

Enterprise deployment with SOC 2 compliance, HIPAA-ready, GDPR-compliant data handling

Integrations

Google DriveNotionOneDriveAWS S3Web pagesCustom APIs