Welcome to Memorystack
Memorystack is a managed semantic memory layer for AI applications. Build intelligent agents that remember conversations, learn from interactions, and provide personalized experiences—all without managing infrastructure.
What is Memorystack?
Memorystack automatically extracts, stores, and retrieves semantic information from conversations. Instead of building complex RAG pipelines or managing vector databases, you get a production-ready memory system that scales with your application.
Semantic Understanding
Automatically extracts facts, preferences, and relationships from natural language
Managed Infrastructure
No databases to manage, no embeddings to generate—just API calls
Production Ready
Built for scale with multi-tenancy, security, and reliability
Key Features
🧠 Automatic Memory Extraction
Send conversations and get structured memories back. Our AI automatically identifies facts, preferences, experiences, and relationships without manual tagging.
🔍 Semantic Search
Retrieve relevant memories using natural language queries. Our vector search finds contextually similar information, not just keyword matches.
👥 Multi-Tenant Architecture
Build B2B applications with complete data isolation. Each end-user's memories are securely separated while you manage everything from one account.
🎨 Multimodal Support
Work with text, images, documents, and audio. Extract memories from any content type and build rich, contextual AI experiences.
🕸️ Knowledge Graph
Visualize relationships between entities, concepts, and memories. Understand how information connects across your entire knowledge base.
⚡ Production Scale
Built on enterprise-grade infrastructure with automatic scaling, high availability, and sub-second response times.
See It In Action
import { MemoryStackClient } from '@memorystack/sdk';
const client = new MemoryStackClient({ apiKey: 'your-key' });
// Add a conversation
await client.addConversation(
"I love TypeScript and prefer dark mode",
"Great! TypeScript is excellent for building scalable apps."
);
// Retrieve memories
const memories = await client.getPersonalMemories(10);
// Returns: [
// { type: 'preference', content: 'User loves TypeScript' },
// { type: 'preference', content: 'User prefers dark mode' },
// { type: 'fact', content: 'TypeScript is excellent for scalable apps' }
// ]That's it! No vector databases, no embedding models, no infrastructure to manage. Just simple API calls.
Getting Started
Core Concepts
Memories
Learn how memories are extracted, stored, and retrieved from conversations.
Multimodal Support
Work with text, images, documents, and audio in your memories.
User Isolation
Build multi-tenant applications with complete data isolation.
Knowledge Graph
Visualize and explore semantic relationships in your data.