We've spent the last two years building AI applications. Chatbots, agents, assistants—the works. And we kept hitting the same wall.
AI doesn't remember anything.
Every conversation starts from scratch. Your assistant doesn't know you prefer concise answers. It doesn't remember the project you've been discussing for weeks. It asks the same questions over and over.
The problem
This isn't a minor UX issue. It's a fundamental limitation that makes AI feel robotic instead of intelligent. Human intelligence is inseparable from memory—we learn from experience, build on past knowledge, and personalize our interactions.
AI agents need the same capability.
The solution
MemoryStack is infrastructure for AI memory. You send us conversations, we extract and store the important information, and you query it later. Simple API, complex problem solved.
import { MemoryStack } from '@memorystack/sdk';
const memory = new MemoryStack({ apiKey: process.env.API_KEY });
// Store a memory
await memory.create({
content: "User prefers TypeScript and dark mode",
userId: "user_123"
});
// Search memories
const results = await memory.search({
query: "What are the user's preferences?",
userId: "user_123"
});
// → ["User prefers TypeScript", "User prefers dark mode"]How it works
Under the hood, MemoryStack handles the complexity:
Semantic extraction
We analyze conversations to extract facts, preferences, and relationships
Vector embeddings
Every memory is encoded for similarity search that understands meaning, not just keywords
Knowledge graph
We track entities and relationships across all your memories
Memory lifecycle
Automatic consolidation, decay, and contradiction detection
Built for multi-agent systems
The future of AI is teams of specialized agents working together. MemoryStack supports this natively with agent handoffs, shared memory, and scoped access control.
Works with your stack
Start free
We're launching with a free tier: 1,000 API calls per month, no credit card required. For production workloads, we have Pro and Enterprise plans.