Supermemory

Founded by Dhravya Shah in 2024

A high-performance memory layer for AI applications that stores, recalls and connects context across tools and sessions.

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Cost

Free Tier, Paid

Rating

★ People love it

Time to value

Quick Setup (< 1 hour to ingest and test basic memory flows)

You can use Supermemory when you build AI applications or agents that need to ‘remember’ user data, document context, or past interactions. It ingests chats, docs, files and app data, indexes them across vector and graph stores, and enables retrieval in milliseconds. Strong use cases include personalized agent assistants, enterprise knowledge systems, and apps with persistent user memory.

What Supermemory does

Ingest unstructured content (documents, chats, files, emails)Clean and chunk content for embedding and indexingEmbed content and store into vector + graph memory storesRecall and retrieve relevant memories in millisecondsConnect memories across tools (e.g., Notion, Google Drive) and sessionsMaintain evolving memory: updating, forgetting, deriving new relations

Frequently asked

What tasks does Supermemory help with?+

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What does Supermemory cost?+

What does Supermemory integrate with?−

NotionOpenAIAnthropicGoogle Workspace

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