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# Supermemory GitHub Repository Source: https://github.com/supermemoryai/supermemory ## Overview Supermemory is a "memory engine and app that is extremely fast, scalable" -- "the Memory API for the AI era." Ranks #1 across three major benchmarks: LongMemEval, LoCoMo, and ConvoMem. ## Core Features ### Memory System Automatically extracts facts from conversations, handles temporal changes and contradictions, implements automatic forgetting of expired information. ### User Profiles Dual-layer context: stable facts + recent activity. Retrievable in ~50ms per query. ### Hybrid Search Combines RAG (document retrieval) with personalized memory in single queries. ### Connectors Integrates with Google Drive, Gmail, Notion, OneDrive, GitHub, and web crawlers with real-time webhook synchronization. ### Multi-modal Processing PDFs, images (OCR), videos (transcription), code (AST-aware parsing). ## Architecture Four layers: 1. Memory Engine (fact extraction and contradiction resolution) 2. User Profiles (static + dynamic context) 3. Hybrid Search (combined RAG and memory) 4. Connectors and File Processing ## Installation ```bash npm install supermemory # JavaScript/Node.js pip install supermemory # Python ``` ## Integration Frameworks Vercel AI SDK, LangChain, LangGraph, OpenAI Agents SDK, Mastra, Agno, Claude Memory Tool, n8n. ## Client Plugins - Claude Supermemory Plugin: https://github.com/supermemoryai/claude-supermemory - OpenClaw Plugin: https://github.com/supermemoryai/openclaw-supermemory - OpenCode Plugin: https://github.com/supermemoryai/opencode-supermemory - Hermes Agent: https://github.com/NousResearch/hermes-agent ## MemoryBench Open-source benchmarking framework supporting Supermemory, Mem0, and Zep providers. Includes MemScore metric for comparing quality, latency, and token efficiency. ## Tech Stack TypeScript (64%), MDX (28.9%), Python (6.2%). Built with Postgres, Remix, TailwindCSS, Vite, Cloudflare Workers/KV/Pages, Drizzle ORM. ## License MIT
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