Amgram

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YOUR MEMORY, ANY MODEL

The memory no LLM will ever give you.

The memory no LLM will ever give you.

All your memory in one home, not in pieces across AI tools. Pick your model, or let Amgram route based on what you’re working on.

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The problem

Right now, you are the middleware.

Right now, you are the middleware.

You switch from GPT to Claude and rewrite the same handoff prompt — again. Your screenshots, your uploads, the docs one model built for you? None of it follows. You re-learn each model’s quirks. You bounce to one tool for images, another for video, then ask your AI to write the prompt for the next tool. You carry the context. By hand. Every single day. The models are getting smarter. The shuttling between them isn’t. That’s the part nobody’s fixing.

You switch from GPT to Claude and rewrite the same handoff prompt — again. Your screenshots, your uploads, the docs one model built for you? None of it follows. You re-learn each model’s quirks. You bounce to one tool for images, another for video, then ask your AI to write the prompt for the next tool. You carry the context. By hand. Every single day. The models are getting smarter. The shuttling between them isn’t. That’s the part nobody’s fixing.

The solution

Amgram is the middleware now. So you’re not.

Amgram is the middleware now. So you’re not.

One memory. Every model plugs into it. Structured, persistent, and unified across all of them. Switch from GPT to Claude and your context is already there. No handoff prompt. No re-explaining who you are. Nothing left behind. And the right model for the job, every time. Pick it yourself, or let Amgram route for you.

One memory. Every model plugs into it. Structured, persistent, and unified across all of them. Switch from GPT to Claude and your context is already there. No handoff prompt. No re-explaining who you are. Nothing left behind. And the right model for the job, every time. Pick it yourself, or let Amgram route for you.

Why this doesn’t come from them

Not because they can’t. Because they won’t.

Not because they can’t. Because they won’t.

Every LLM provider makes money the same way: keeping you inside. Your memory is what keeps you there. That’s not a bug in their model — it’s the whole point. Memory that just works when you walk to a competitor — no setup, no transfer, no friction — is the one thing they will never build. Amgram has no model to protect. No garden to keep you in. You stay free to switch models. That’s what they’ll never give you.

Where this goes

Unified memory is step one.
Not the destination.

Phase 1

One memory, every model.

Your context is there across every AI you use.

Phase 2

Amgram, your way.

Tune how it works, how it routes, how it answers. You train it, you shape it — Amgram runs your way, not a default.

Phase 3

The layer underneath everything.

Today you adapt to each AI. Then every AI adapts to you.

We’re at the start of Phase 1. We’re telling you the rest so you know exactly what you’re betting on.

We’re at the start of Phase 1. We’re telling you the rest so you know exactly what you’re betting on.

Alpha access is limited. We onboard in small batches.