AI Tool
Supermemory pricing, features, company info, and alternatives
A factual product page for Supermemory as a memory infrastructure platform and personal app.
Last updated April 2026 ยท Pricing and features verified against official documentation
Pricing
Current public pricing tiers on file for Supermemory, last verified Apr 25, 2026.
Free
$0 / month
Includes 1M tokens processed per month, 10K search queries per month, unlimited storage and users, free multi-modal extraction, and email support.
Pro
$19 / month
Includes 3M tokens processed per month, 100K search queries per month, unlimited storage and users, free multi-modal extraction, priority support, and all plugins.
Scale
$399 / month
Includes 80M tokens processed per month, 20M search queries per month, unlimited storage and users, free multi-modal extraction, dedicated support, and Gmail, S3, and web crawler connectors.
Enterprise
Custom
Custom token limits with dedicated support, a forward-deployed engineer, custom integrations, Slack support, faster latency, and self-owned data.
What You Can Do With It
The main capabilities that shape how people use Supermemory today.
Combines user profiles, a memory graph, retrieval, extractors, and connectors in one memory stack.
Ingests text, conversations, files, images, documents, and video, then turns them into searchable memories.
Ships TypeScript, Python, REST, and MCP surfaces for apps and coding tools.
Supports both a developer platform and a consumer app, with self-hosted enterprise deployment.
Best For
Who Supermemory is most clearly built for.
Developers adding persistent memory or RAG-style context to AI apps and agents.
Teams that want memory synced across tools such as Claude Code, Cursor, Notion, Slack, and Google Drive.
Builders who need a single memory layer with API access, plugins, and an MCP server.
Company
Leadership and company context for Supermemory.
CEO
Dhravya Shah
Founders
Dhravya Shah
Platforms
Where you can use Supermemory today.
Web app
API
TypeScript SDK
Python SDK
Chrome extension
MCP server
Integrations
Notable connected tools and ecosystem hooks for Supermemory.
Claude Code
Cursor
OpenCode
OpenClaw
Vercel AI SDK
LangChain
Zapier
n8n
Privacy Notes
Publicly stated data-handling notes that matter when evaluating Supermemory.
The privacy policy says Supermemory collects full name, email address, and organization name.
The privacy policy says user data and connected-service data are stored and processed, and that third-party service connections require explicit consent.
The privacy policy says AI features may process content through OpenAI or Google Gemini, and that transmissions are protected with industry-standard encryption in transit.
Access
How to integrate or build around Supermemory.
Public API
Yes
Docs
Available
Alternatives
Other tools worth considering alongside Supermemory.
Managed memory layer for AI agents and apps.
AI notes workspace for capture, search, chat, and automatic resurfacing.
Personalized AI assistant that captures screen and audio locally on Mac and iPhone.
Google's source-grounded notebook and research assistant for documents, links, and notes.
Product Snapshot
Supermemory is a memory infrastructure product for AI agents, with a developer platform, SDKs, MCP support, and a separate personal app surface.
What You Can Do With It
- Add persistent memory, user profiles, retrieval, and extraction to AI apps through one platform.
- Ingest text, conversations, files, images, documents, and video, then query them later as memories.
- Use the TypeScript and Python SDKs, REST API, or MCP server to connect coding tools and assistants.
- Organize connected context across apps such as Claude Code, Cursor, Notion, Slack, and Google Drive.
Why It Stands Out
It combines memory graphs, extractors, connectors, and retrieval in one stack instead of splitting those parts across separate tools.
Tradeoffs To Know
- The public materials present both a developer platform and a consumer app, so buyers need to separate those use cases.
- Pricing is clear, but the entry point is stronger for developers and teams than for casual note-taking.
- The product is broad enough that buyers should confirm which surface they actually want: API, MCP, or personal app.
Sources
- supermemory.ai/pricing
- supermemory.ai
- supermemory.ai/privacy
- supermemory.ai/terms
- supermemory.ai/research
- supermemory.ai/blog/author/dhravya
- supermemory.ai/blog/unified-memory-that-works-where-you-work-your-second-brain-with-supermemory
- supermemory.ai/docs/intro
- supermemory.ai/docs/how-it-works
- supermemory.ai/docs/memory-router/overview
- supermemory.ai/docs/supermemory-mcp/mcp
- supermemory.ai/docs/quickstart
- supermemory.ai/docs/integrations/claude-code
- supermemory.ai/docs