Memory OS for AI Agents

Give your AI agents long-term memory, semantic understanding, and timeline reasoning. Built for performance, designed for developers.

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The Problem

AI agents today face a critical limitation: they forget context.

❌ LLMs have token limits (4K, 8K, 32K, 128K)
❌ Context gets lost between API calls
❌ Agents can't remember preferences or decisions
❌ Multi-step workflows lose track of progress

The Solution

MotionOS provides persistent, semantic memory for your agents.

✅ Long-term memory beyond token limits
✅ Semantic search to find relevant context
✅ Versioning to track memory evolution
✅ Timeline reasoning for causal relationships

Powerful Features

🧠

Semantic Search

Find memories by meaning, not keywords. Uses pgvector for lightning-fast semantic search.

⚡

High Performance

Built with Go engine for ultra-fast operations. Sub-100ms retrieval times.

🔗

Timeline Reasoning

Track causal relationships and event sequences. Perfect for multi-step workflows.

🔄

Versioning

Every memory is versioned. Rollback to previous states. Track evolution over time.

🎯

Hybrid Ranking

Combines semantic similarity, recency, importance, and frequency for intelligent retrieval.

🔒

Production Ready

API keys, rate limiting, project isolation, usage tracking, and comprehensive logging.

How It Works

┌─────────────┐
│   Client    │ Your App/Agent
└──────┬──────┘
       │ HTTPS
       ▼
┌─────────────┐
│  Node.js    │ API Gateway
│  (Vercel)   │ Auth & Rate Limiting
└──────┬──────┘
       │
       ▼
┌─────────────┐
│  Go Engine  │ Memory Engine
│  (Render)   │ Ingest & Retrieval
└──────┬──────┘
       │
       ▼
┌─────────────┐
│  Supabase   │ PostgreSQL + pgvector
│  Database   │ Semantic Storage
└─────────────┘

Simple Integration

import { MotionOS } from '@motionos/sdk';

const motion = new MotionOS({
  apiKey: 'sb_secret_xxx',
  projectId: 'proj-123'
});

// Store memory
await motion.ingest('User prefers dark mode');

// Retrieve context
const ctx = await motion.retrieve('user preferences');
console.log(ctx.context); // Ready for LLM!

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Start building memory-aware AI agents in minutes.

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