The retention layer for AI products

Memory Is Your Moat

The most valuable AI products don't just answer. They remember.

Every user gets a memory that grows with them. Your product gets harder to replace every day.

Why It Matters

Retention Is Revenue

The more a user relies on your AI, the more it should know them. That history becomes the reason they stay.

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The product gets personal

Preferences, habits, projects, history. Every return visit feels less like software and more like home base.

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The moat compounds

Competitors can copy your features. They can't copy the years of context your users have already built with you.

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Revenue follows retention

More remembered context means better answers. Better answers mean more sessions, more expansion, more LTV.

Forgettable AI gets swapped out. Remembered history becomes lock-in.

You already know the problem

If you ship AI to real users, you already know.

01

Every session starts over

Your users re-explain who they are, what they want, and what happened yesterday. Churn begins the moment your product asks "who are you again?"

02

Building it yourself is brutal

A vault per user, strict isolation, key rotation, usage metering, billing. That's months of work before a single user ever feels remembered.

03

Scale eats your margins

Cram everything into the context window and your costs explode. The day a power user arrives is the day your unit economics break.

One integration. Every user remembered.

One API. A private memory vault for every customer you serve.

1

Your customer signs up in your app

Your normal signup flow. They never touch MemoryRouter or know it exists.

2

You give them a private vault

One API call mints a scoped mk_... key per customer. Each key maps to its own isolated memory. No setup on their end.

3

Memory just works, automatically

Point your existing OpenAI-compatible code at api.memoryrouter.ai and pass that customer's key. Every call remembers. No two users ever see each other's data.

4

You pay only for what gets used

One bill across every customer. Costs track real usage, so ten quiet users cost almost nothing and your margins hold as you scale.

your customer's agentOpenAI-compatible
curl https://api.memoryrouter.ai/v1/chat/completions \
-H "Authorization: Bearer mk_customer_9f3k..." \
-H "Content-Type: application/json" \
-d '{ "model": "openai/gpt-5.5", "messages": [...] }'
what happens under the hood
  • β†’ mk_customer_9f3k identifies the customer's vault
  • β†’ Relevant memory is retrieved and injected into context
  • β†’ Request proxies to the provider (OpenAI, Anthropic, Google…)
  • β†’ Response is stored back in that customer's vault. Next call continues the thread.

Mint, rotate, and revoke keys per customer from your enterprise dashboard, or via the openclaw mr CLI for agent-based deployments.

Why enterprises choose us

Built for teams shipping memory to real customers, not a demo on a laptop.

Per-customer vaults

Strict data isolation between end users. SOC 2-aligned architecture. No shared indexes, no accidental cross-tenant retrieval.

Programmatic provisioning

Mint, rotate, and revoke API keys per customer via API. Plug it into your signup flow and forget about it.

Usage-based pricing

You pay for what your customers actually use β€” tokens in, tokens out. No flat-fee traps as you scale.

Committed-use discounts

Volume commits unlock significantly lower per-token rates. Predictable pricing as you grow.

Dedicated support

Shared Slack channel with the team that built it. Real engineers, not a ticket queue.

Custom SLA + contract

Uptime SLAs, DPAs, custom terms, MSAs β€” we sign paper. Enterprise procurement-friendly.

Enterprise pricing

Committed-use tiers. Every tier includes per-customer vaults and programmatic key provisioning.

Starter

$2,000/mo

committed

~21B tokens/mo

$0.095 per 1M tokens

  • β€’ $0.095 per 1M tokens
  • β€’ $2,000/mo minimum commit
  • β€’ Unlimited per-customer vaults
  • β€’ Programmatic API key provisioning
  • β€’ Email support
  • β€’ Standard SLA
Contact Sales
MOST POPULAR

Growth

$10,000/mo

committed

~111B tokens/mo

$0.09 per 1M tokens

  • β€’ $0.09 per 1M tokens
  • β€’ $10,000/mo minimum commit
  • β€’ Everything in Starter
  • β€’ Shared Slack support channel
  • β€’ 99.9% uptime SLA
  • β€’ Custom integration help
Contact Sales

Enterprise

Custom

let's talk

  • β€’ Unlimited tokens
  • β€’ Everything in Growth
  • β€’ Dedicated account manager
  • β€’ Custom SLA + DPA
  • β€’ SOC 2 report on request
  • β€’ On-prem / VPC deployment option
  • β€’ Custom data residency
Contact Sales

Running smaller or just testing? Self-serve pay-as-you-go pricing β†’

Who this is for

If any of these sound like you, we should talk.

AI app companies

Shipping agents to thousands of end users. Every one of them needs their own memory, their own context, their own history.

Agencies

Building custom agents for clients. Each client gets isolated memory, you bill through one account, everyone's data stays separate.

Infra teams

You need memory as a service so your platform team can stop building vector stores and go back to shipping product features.

Trust & Security

Built for buyers who ask hard questions

You'll have the checklist. Here's where we stand.

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Data isolation per vault β€” no shared tenancy at retrieval time

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SOC 2 Type II in progress (Q3 2026 target)

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DPAs available on request

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Custom data residency on the Enterprise tier

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Encryption at rest and in transit

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Scoped API keys with rotation + revocation

Give your product a memory worth staying for

One quick call. We'll scope your volume, walk the API, and send pricing the same day.