Supermemory

Intelligent Memory Infrastructure for AI Agents Supermemory is a context infrastructure platform that enables AI agents and applications to maintain sophisticated, evolving memory and understanding of users and data. Rather than simple vector storage, Supermemory provides a complete memory stack with five integrated layers: user profiles, memory graphs, intelligent retrieval, smart extractors, and data connectors. One API, Multiple Capabilities: Unified interface for RAG, memory management, and data extraction Lightning-Fast Retrieval: Sub-300ms latency with hybrid vector and keyword search Memory Graph Engine: Custom vector graph that understands relationships between memories, not just similarity scores—knowledge evolves, merges, and infers rather than simply accumulating Universal Data Integration: Connectors for Notion, Slack, Google Drive, S3, Gmail, and custom sources with automatic syncing Smart Extraction: Processes PDFs, web pages, images, and audio with semantic chunking that preserves meaning User Profiles: Builds deep contextual understanding of user intent, preferences, and behavior Developer-Friendly: TypeScript and Python SDKs, self-hostable option, SOC 2 compliant Perfect for developers building AI agents, teams implementing enterprise AI solutions, and individuals seeking unified memory across multiple AI tools and applications. Status: #1 on MemoryBench for latency, quality, and cost. 10,000+ users. Free tier available with enterprise options.