supermemory

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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.

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Use Supermemory

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

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

State-of-the-art memory, on your machine. One binary. Zero config. Bring any model — or run fully offline with Ollama.

curl -fsSL https://supermemory.ai/install | bash

→ Jump to Supermemory local

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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
• OpenCode plugin: https://github.com/supermemoryai/opencode-supermemory
• Hermes agent (Supermemory memory provider): https://github.com/NousResearch/hermes-agent

MCP

Server URL:

https://mcp.supermemory.ai/mcp

{
  "mcpServers": {
    "supermemory": {
      "url": "https://mcp.supermemory.ai/mcp"
    }
  }
}

Read more about our MCP here - https://supermemory.ai/docs/supermemory-mcp/mcp

What your AI gets

Tool	What it does
memory	Save or forget information. Your AI calls this automatically when you share something worth remembering.
recall	Search memories by query. Returns relevant memories + your user profile summary.
context	Injects your full profile (preferences, recent activity) into the conversation at start. In Cursor and Claude Code, just type /context.

How it works

Once installed, Supermemory runs in the background:

1. You talk to your AI normally. Share preferences, mention projects, discuss problems.
2. Supermemory extracts and stores the important stuff. Facts, preferences, project context — not noise.
3. Next conversation, your AI already knows you. It recalls what you're working on, how you like things, what you discussed before.

Memory is scoped with projects (container tags) so you can separate work and personal context, or organize by client, repo, or anything else.

Supported clients

Claude Desktop · Cursor · Windsurf · VS Code · Claude Code · OpenCode · OpenClaw · Hermes

The MCP server is open source — view the source.

Manual configuration

Add this to your MCP client config:

{
  "mcpServers": {
    "supermemory": {
      "url": "https://mcp.supermemory.ai/mcp"
    }
  }
}

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Build with Supermemory (API)

If you're building AI agents or apps, Supermemory gives you the entire context stack through one API — memory, RAG, user profiles, connectors, and file processing.

Install

npm install supermemory    # or: pip install supermemory

Quickstart

import Supermemory from "supermemory";

const client = new Supermemory();

// Store a conversation
await client.add({
  content: "User loves TypeScript and prefers functional patterns",
  containerTag: "user_123",
});

// Get user profile + relevant memories in one call
const { profile, searchResults } = await client.profile({
  containerTag: "user_123",
  q: "What programming style does the user prefer?",
});

// profile.static  → ["Loves TypeScript", "Prefers functional patterns"]
// profile.dynamic → ["Working on API integration"]
// searchResults   → Relevant memories ranked by similarity

from supermemory import Supermemory

client = Supermemory()

client.add(
    content="User loves TypeScript and prefers functional patterns",
    container_tag="user_123"
)

result = client.profile(container_tag="user_123", q="programming style")

print(result.profile.static)   # Long-term facts
print(result.profile.dynamic)  # Recent context

This is the beginning of the README. Read the rest at the original. Read the full README ↗