MemoryRouter — $1 on Memory Saves $10 on Inference

💰 Savings Calculator

How Much Are You Wasting?

Drag the slider. Watch your money come back.

Your monthly AI spend

$100 $5,000/mo $50,000

❌ Without MemoryRouter

Monthly inference $5,000

Wasted on re-context ~$2,500

$5,000/mo

✓ With MemoryRouter

Reduced inference $2,000

Memory cost $450

$2,450/mo

You save

$2,550/mo

51% reduction in AI costs

That's $30,600 back in your pocket per year

The Problem

The Hidden Tax on Every AI Call

You're not just paying for AI. You're paying for AI to re-learn what it already knew.

🔄

Groundhog Day Prompts

Every session, you re-explain user preferences, project context, conversation history. Again. And again.

📦

Bloated Context Windows

Stuffing 50k+ tokens into every request because the alternative is an AI that doesn't know anything.

💸

Token Inflation

50-70% of your tokens are redundant. You're paying for the same information over and over.

✗

Standard AI Integration

// Support chat - EVERY message:

messages: [

system: "Customer context... (2000 tokens)",

system: "Product catalog... (5000 tokens)",

system: "Past tickets... (3000 tokens)",

user: "What's my order status?"

]

10,000+ tokens per simple question

✓

With MemoryRouter

// Support chat - EVERY message:

messages: [

user: "What's my order status?"

]

// Memory auto-injects: customer context,

// relevant orders, past conversations

Only send what's new. Memory handles the rest.

Use Cases

Memory Changes Everything

Real products. Real savings. Real results.

🎧

Customer Support Bots

AI that actually knows your customers.

Token savings

73%

Before: Every message

"Load customer profile... past 50 tickets... product history... account status..."

After: Just the message

"Why was my refund delayed?"

Memory: Customer context, refund history, account status auto-injected

✓ Remembers customer preferences
✓ Knows past interactions across channels
✓ No more "As I mentioned before..."

📈

Sales Intelligence

AI that remembers every deal detail.

Prep time saved

90%

How reps use it

"Brief me on the Acme Corp deal before my call"

→ AI recalls all past emails, objections, stakeholders, pricing discussions, competitor mentions, and decision timeline — instantly.

✓ Full deal context, always available
✓ Remembers past objections & responses
✓ Tracks relationship history over months

🏥

Healthcare Assistants

Patient context that persists.

Context accuracy

100%

Continuity of care

Patient returns 3 months later. AI immediately knows:

• Previous symptoms discussed
• Medications mentioned
• Allergies noted
• Preferred communication style

✓ Per-patient memory isolation
✓ Longitudinal context tracking
✓ HIPAA-ready architecture

📚

Docs & Knowledge Base

AI that learns what teams ask about.

Query accuracy

+40%

Smart context building

AI remembers which docs users reference most, common follow-up questions, and successful answer patterns.

"How do I set up OAuth?" → AI knows you're using Node.js, already tried the basic guide, need enterprise SSO

✓ Learns from every interaction
✓ Per-user context awareness
✓ No re-explaining your setup

🤖

Personal AI Companions

AI that actually knows you.

Engagement

3x

True personalization

Week 1: Learning your communication style
Month 1: Knows your goals, preferences, habits
Month 6: Feels like talking to an old friend

✓ Remembers conversations across months
✓ Learns communication preferences
✓ Builds genuine rapport over time

⚖️

Legal Assistants

Case context that sticks.

Research time

-60%

Per-case memory

AI remembers every document reviewed, argument developed, precedent cited, and strategy discussed — across weeks of case prep.

✓ Full case history at query time
✓ Tracks evolving legal strategy
✓ Matter-level memory isolation

How It Works

Three Steps. Zero Complexity.

No vector database. No embedding pipeline. No ops burden.

1

Add Your API Keys

Bring your OpenAI, Anthropic, or OpenRouter keys. You pay providers directly — we never touch your inference spend.

2

Create Memory Keys

Each MemoryRouter key is a memory context. Create one per user, per project, per conversation — unlimited.

3

Memory Just Works

Every call builds memory. Every response uses it. Your AI gets smarter automatically. No extra code.

Powered by KRONOS — 3D Context Engine

Your App

Same SDK

MemoryRouter

KRONOS Engine

<50ms

AI Provider

+ memories

KRONOS analyzes context across 3 dimensions: Semantic (meaning), Temporal (time), Spatial (structure)

Integration

Your Code. Now With Memory.

Drop-in compatible with every OpenAI SDK.

Python

# pip install openai
from openai import OpenAI

# Memory key = isolated context
client = OpenAI(
    base_url="https://api.memoryrouter.ai/v1",
    api_key="mr-user-123-key"
)

# That's it. AI now remembers this user.
response = client.chat.completions.create(
    model="gpt-4o",
    messages=[{"role": "user", "content": "..."}]
)

TypeScript

// npm install openai
import OpenAI from 'openai';

// Each key = separate memory context
const client = new OpenAI({
  baseURL: 'https://api.memoryrouter.ai/v1',
  apiKey: 'mr-conversation-456'
});

// Same API. Memory handled automatically.
const response = await client.chat.completions.create({
  model: 'claude-3-5-sonnet-20241022',
  messages: [{ role: 'user', content: '...' }]
});

Multi-Tenant Pattern — One memory per user

// SaaS pattern: each user gets isolated memory
function getClientForUser(userId: string) {
  return new OpenAI({
    baseURL: 'https://api.memoryrouter.ai/v1',
    apiKey: userMemoryKeys[userId]  // Per-user memory isolation
  });
}

// User A: "I prefer dark mode and brief responses"
// User B: "I like detailed explanations with examples"
// Each gets a personalized AI - memories never leak between users

Pricing

Memory That Pays for Itself

The math is simple: spend a little, save a lot.

Simple Pricing

$0.50 per 1M memory tokens

10x ROI

guaranteed return

✓ Unlimited memory contexts
✓ 90-day retention included
✓ All 100+ models supported

✓ Sub-50ms retrieval
✓ Ephemeral key auto-cleanup
✓ No inference markup — ever

How billing works

You bring your own API keys and pay providers directly for inference at their prices. We only charge for memory tokens — the storage and retrieval that makes your AI smarter. No markup on inference. No hidden fees. Ever.

Join the Beta — Free Tier at Launch

FAQ

Questions? Answered.

How does memory actually save me money? ▼

Without memory, you stuff context into every API call — user preferences, conversation history, project details. That's often 50-70% of your tokens. With MemoryRouter, relevant context is automatically retrieved and injected. You send less, get the same (or better) results. The $1 you spend on memory saves $10 on inference.

What's KRONOS? How is it different from RAG? ▼

KRONOS is our proprietary 3D context engine that analyzes memory across three dimensions: Semantic (meaning and relationships), Temporal (when things happened and in what sequence), and Spatial (structure and hierarchy). Unlike basic RAG that just does similarity search, KRONOS understands context holistically — retrieving not just "similar" memories, but the right memories for your specific query.

Do you markup inference costs? ▼

Never. You bring your own API keys (OpenAI, Anthropic, OpenRouter, etc.) and pay providers directly at their published rates. We only charge for memory tokens. This keeps our incentives aligned: we make money when we save you money.

How does memory isolation work? ▼

Each MemoryRouter API key represents an isolated memory context. User A's memories never touch User B's memories. Create one key per user, per conversation, per project — whatever granularity makes sense for your app. Memories are encrypted at rest and in transit.

What happens to unused memory keys? ▼

Ephemeral keys that are never used are never persisted — no bloat, no cost. Active memories have a 90-day retention by default. You can extend retention for specific contexts or delete memories programmatically.

Which models are supported? ▼

All of them. MemoryRouter is OpenRouter-compatible, which means 100+ models work out of the box: GPT-4o, GPT-4 Turbo, Claude 3.5 Sonnet, Claude 3 Opus, Gemini Pro, Llama 3, Mistral, and many more. If it works with the OpenAI SDK, it works with MemoryRouter.

How fast is memory retrieval? ▼

Sub-50ms. KRONOS is optimized for real-time retrieval. In practice, memory lookup adds negligible latency to your API calls — usually less than the variance in provider response times.

Can I control what gets remembered? ▼

Yes. You can mark specific messages as "do not remember," delete specific memories, or wipe an entire context. We also provide analytics so you can see what's being stored and retrieved.

🚀

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