supermemoryai / supermemory
git clone https://github.com/supermemoryai/supermemory.git
server-v0.0.9 · 9d ago
Memory and context engine + app that is extremely fast, scalable, and can be run fully locally. The Memory API for the AI era.
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Star history (as recorded here)
LanguageTypeScript
LicenseMIT
Created2024-02-27 (2y ago)
Last pushtoday
Watchers110
OwnerOrganization
GitHub topics
agent-memoryai-memorycloudflare-kvcloudflare-pagescloudflare-workersdrizzle-ormmemorypostgresremixtailwindcsstypescriptvite
Links
- GitHub: github.com/supermemoryai/supermemory
- Homepage: https://supermemory.ai/docs
- Releases · Issues · Hacker News mentions
README excerpt
State-of-the-art memory and context engine for AI. Docs · Quickstart · Self-host · Dashboard · Discord English · 简体中文 #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. --- ## 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** 🖥️ I want to run it myself State-of-the-art memory, on your machine. **One binary. Zero config.** Bring any model — or run fully offline with Ollama. [code] **→ Jump to Supermemory local** --- ## Give your AI memory Plugins and the MCP server give any compatible AI assistant persistent memory. One install, and your AI remembers you. ### Supermemory Plugins Supermemory comes built with plugins for Claude Code, Muse Code, Cursor, Codex, OpenCode, OpenClaw, and Hermes. These plugins are implementations of the supermemory API, and they are open source! You can find them here: - Claude Code plugin: https://github.com/supermemoryai/claude-supermemory - Muse Code plugin: https://github.com/supermemoryai/muse-supermemory - Cursor plugin: https://github.com/supermemoryai/cursor-supermemory - Codex plugin: https://github.com/supermemoryai/codex-supermemory - OpenClaw plugin: https://github.com/supermemoryai/openclaw-supermemory - Open