SuperMemory

SuperMemory website preview
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SuperMemory provides memory, context, and understanding layers for AI agents, enabling them to scale through user profiles, memory graphs, retrieval, and connectors.

Classification

Munich DE seed ai saas b2b ai Memory EnhancementAi ToolsLearningCognitive TrainingProductivity

Profile

Founded
2022
Headcount
10-50
Tech stack
Python, Vector Databases, LLM APIs
Revenue range
<€1M

Funding

Funding details not yet available.

Signals

Business model
💡 Value Proposition

Provides the missing memory layer for AI agents, enabling them to scale via user profiles, memory graphs, and retrieval to get smarter with every interaction.

👥 Customer Segments

AI developers and enterprises building agents that require persistent context and understanding, specifically those needing to integrate personal or enterprise data.

💰 Revenue Model

SaaS/API usage

📡 Channels

Direct web SaaS portal (app.supermemory.ai) for self-service sign-ups · Browser extensions (Chrome, Edge) that act as acquisition hooks · Marketplace listings - Raycast store, Chrome Web Store, Notion integration directory

🤝 Key Partnerships

OpenAI, Hugging Face, and major LLM providers

⚖️ Cost Structure

R&D, cloud infrastructure, sales

🏗️ Key Resources

Proprietary memory graph technology, retrieval mechanisms, and connectors that allow agents to access and utilize user profiles and data.

⚙️ Key Activities

Developing memory graph infrastructure, building data connectors, and enabling retrieval systems that allow AI agents to process and retain context.

💬 Customer Relationships

Self-service onboarding - Interactive tutorials, in-app walkthroughs, and a knowledge base · Community support - Discord/Slack channels, GitHub issues, and regular AMA sessions with founder Dhravya Shah · Account-managed enterprise tier - Dedicated CSMs, SLA guarantees, custom integration support

Strategic analysis
🏁 Competitive landscape

Competes in the AI infrastructure space by addressing the 'memory' gap; differentiates by offering specific tools for user profiles and memory graphs rather than just raw compute.

🎯 Market pains

AI agents lack persistent context and understanding, failing to scale effectively without a dedicated layer for memory, user profiles, and data retrieval.

💎 Improvement suggestions
  • Monetize the developer community faster - Introduce a “Marketplace for Memory Plugins” where third-party creators can sell premium retrie
♟️ Strategic implications
  • Current pricing tiers - What are the exact limits (storage, API calls) for Free, Pro, and Enterprise plans?
🛡️ Credibility notes
  • Strong founder narrative & investor backing - A 19-year-old founder with $2.6 M seed round led by Susa Ventures and endorsements from Goo
Investors

No investors recorded yet.

Sources & references

Web verified · 1 source
Enriched 18 Jun 2026