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supermemoryai

supermemory

Memory and context engine for AI: fact extraction, user profiles, contradiction handling and forgetting, hybrid RAG + memory search, connectors, agent plugins and a one-binary local mode.

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The most complete memory product on the map: fact extraction with temporal updates and forgetting, ~50ms user profiles, RAG and memory in one query, connectors for Drive, Gmail, Notion and GitHub, and plugins for Claude Code, Codex, Cursor, OpenCode and Hermes. `npx supermemory local` runs the same Memory API on your machine with local embeddings, so prototyping does not need their cloud; connectors are not in the local feature list, so check before planning around them. Treat the '#1 on every benchmark' banner as vendor-reported. Skip it if you want memory you can read and edit as files (acontext, okf-agent-memory) or only need session recall for one coding agent.

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README.md2 min read

Supermemory

State-of-the-art memory and context engine for AI.

Docs · Quickstart · Self-host · Dashboard · Discord

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#1 on every major AI memory benchmark — LongMemEval, LoCoMo, and ConvoMem.
95% Recall@15 with a 99.4% context reduction · ~50ms user profiles.
Read the research →

Supermemory is the memory and context layer for AI. #1 on LongMemEval, LoCoMo, and ConvoMem — the three major benchmarks for AI memory.

We are a research lab building the engine, plugins and tools around it.

Your AI forgets everything between conversations. Supermemory fixes that.

It automatically learns from conversations, extracts facts, builds user profiles, handles knowledge updates and contradictions, forgets expired information, and delivers the right context at the right time. Full RAG, connectors, file processing — the entire context stack, one system.
🧠 Memory Extracts facts from conversations. Handles temporal changes, contradictions, and automatic forgetting.
👤 User Profiles Auto-maintained user context — stable facts + recent activity. One call, ~50ms.
🔍 Hybrid Search RAG + Memory in a single query. Knowledge base docs and personalized context together.
🔌 Connectors Google Drive · Gmail · Notion · OneDrive · GitHub — auto-sync with real-time webhooks.
📄 Multi-modal Extractors PDFs, images (OCR), videos (transcription), code (AST-aware chunking). Upload and it works.

All of this is in our single memory structure and ontology.

image

Use Supermemory

🧑‍💻 I use AI tools

Give Claude Code, Muse Code, Cursor, Codex and OpenCode persistent memory across every conversation with a plugin or the MCP server.

Your AI remembers your preferences, projects, past discussions — and gets smarter over time.

→ Jump to User setup

🔧 I'm building AI products

Add memory, RAG, user profiles, and connectors to your agents and apps with a single API.

No vector DB config. No embedding pipelines. No chunking strategies.

→ Jump to developer quickstart