our vision
A Memory Engine
for the world
Dhravya Shah, Founder & CEO, supermemory
Hi. I’m Dhravya.
It’s 2025. Model providers are racing to build AGI, a model that is on par, or better than humans in every task.
Here’s a list of things that such a superintelligence would need:
- PHD level intelligence in every field.
- Ability to do things (Tools).
- MEMORY and adaptation to things that happen around it.
This can be thought of a three-dimensional graph.
While there’s good progress in 1 and 2, there’s very little being done in the third one. It’s increasingly obvious that the final big hill to climb to make intelligence truly feel human, the next exciting inflection point in AI, is memory and personalization.
Hi. I’m Dhravya.
It’s 2025. Model providers are racing to build AGI, a model that is on par, or better than humans in every task.
Here’s a list of things that such a superintelligence would need:
- PHD level intelligence in every field.
- Ability to do things (Tools).
- MEMORY and adaptation to things that happen around it.
This can be thought of a three-dimensional graph.
While there’s good progress in 1 and 2, there’s very little being done in the third one. It’s increasingly obvious that the final big hill to climb to make intelligence truly feel human, the next exciting inflection point in AI, is memory and personalization.
Hi. I’m Dhravya.
It’s 2025. Model providers are racing to build AGI, a model that is on par, or better than humans in every task.
Here’s a list of things that such a superintelligence would need:
- PHD level intelligence in every field.
- Ability to do things (Tools).
- MEMORY and adaptation to things that happen around it.
This can be thought of a three-dimensional graph.
While there’s good progress in 1 and 2, there’s very little being done in the third one. It’s increasingly obvious that the final big hill to climb to make intelligence truly feel human, the next exciting inflection point in AI, is memory and personalization.
Hi. I’m Dhravya.
It’s 2025. Model providers are racing to build AGI, a model that is on par, or better than humans in every task.
Here’s a list of things that such a superintelligence would need:
- PHD level intelligence in every field.
- Ability to do things (Tools).
- MEMORY and adaptation to things that happen around it.
This can be thought of a three-dimensional graph.
While there’s good progress in 1 and 2, there’s very little being done in the third one. It’s increasingly obvious that the final big hill to climb to make intelligence truly feel human, the next exciting inflection point in AI, is memory and personalization.
That’s exactly the problem we’re solving at supermemory - self-learning context about things (users, tasks, teams, etc.). Supermemory serves as a universal memory layer that enables developers and users to add memory to their own large language models. No matter what the task.
The layer that solves this problem has to be independent of the model provider. This is because memory is stateful - switching between providers would not only mean a lot of work for developers and users, but also would need support from these providers themselves.
If Google releases the next best model this week, but you’re stuck to OpenAI because their API has memory - you would be locked into using what you are.
Memory should be a universal right, not a moat.
Therefore, a layer that handles memory must exist. Supermemory acts as this independent layer.
That’s exactly the problem we’re solving at supermemory - self-learning context about things (users, tasks, teams, etc.). Supermemory serves as a universal memory layer that enables developers and users to add memory to their own large language models. No matter what the task.
The layer that solves this problem has to be independent of the model provider. This is because memory is stateful - switching between providers would not only mean a lot of work for developers and users, but also would need support from these providers themselves.
If Google releases the next best model this week, but you’re stuck to OpenAI because their API has memory - you would be locked into using what you are.
Memory should be a universal right, not a moat.
Therefore, a layer that handles memory must exist. Supermemory acts as this independent layer.
That’s exactly the problem we’re solving at supermemory - self-learning context about things (users, tasks, teams, etc.). Supermemory serves as a universal memory layer that enables developers and users to add memory to their own large language models. No matter what the task.
The layer that solves this problem has to be independent of the model provider. This is because memory is stateful - switching between providers would not only mean a lot of work for developers and users, but also would need support from these providers themselves.
If Google releases the next best model this week, but you’re stuck to OpenAI because their API has memory - you would be locked into using what you are.
Memory should be a universal right, not a moat.
Therefore, a layer that handles memory must exist. Supermemory acts as this independent layer.
That’s exactly the problem we’re solving at supermemory - self-learning context about things (users, tasks, teams, etc.). Supermemory serves as a universal memory layer that enables developers and users to add memory to their own large language models. No matter what the task.
The layer that solves this problem has to be independent of the model provider. This is because memory is stateful - switching between providers would not only mean a lot of work for developers and users, but also would need support from these providers themselves.
If Google releases the next best model this week, but you’re stuck to OpenAI because their API has memory - you would be locked into using what you are.
Memory should be a universal right, not a moat.
Therefore, a layer that handles memory must exist. Supermemory acts as this independent layer.
I believe developers shouldn’t have to reinvent the wheel to give their users better experiences with memory. And yes. The experience is better. Almost all of our early customers saw increase in app usage, customer delight, or revenue, by making their experience more personalized for the user.
Users should not be locked into a chatbot because it knows everything about them. Because all chatbots can know everything about them. All of them work with supermemory.
Memory needs to be semantic. Like the human brain - something that adapts, learns, forgets! And remembers when it needs to. Something that is configurable and works for a wide variety of use cases, something that scales as all your users do, and thinks and infers things no one would have expected. Moreover, it needs to be fast, as you really don’t want personalization to affect an experience, but to enhance it.
Intelligence without memory is nothing but sophisticated randomness. We add memory to the intelligence.
One day, when AGI is a thing and robots are walking around everywhere, they would need a memory as sophisticated as their intelligence. And it would be supermemory.
I believe developers shouldn’t have to reinvent the wheel to give their users better experiences with memory. And yes. The experience is better. Almost all of our early customers saw increase in app usage, customer delight, or revenue, by making their experience more personalized for the user.
Users should not be locked into a chatbot because it knows everything about them. Because all chatbots can know everything about them. All of them work with supermemory.
Memory needs to be semantic. Like the human brain - something that adapts, learns, forgets! And remembers when it needs to. Something that is configurable and works for a wide variety of use cases, something that scales as all your users do, and thinks and infers things no one would have expected. Moreover, it needs to be fast, as you really don’t want personalization to affect an experience, but to enhance it.
Intelligence without memory is nothing but sophisticated randomness. We add memory to the intelligence.
One day, when AGI is a thing and robots are walking around everywhere, they would need a memory as sophisticated as their intelligence. And it would be supermemory.
I believe developers shouldn’t have to reinvent the wheel to give their users better experiences with memory. And yes. The experience is better. Almost all of our early customers saw increase in app usage, customer delight, or revenue, by making their experience more personalized for the user.
Users should not be locked into a chatbot because it knows everything about them. Because all chatbots can know everything about them. All of them work with supermemory.
Memory needs to be semantic. Like the human brain - something that adapts, learns, forgets! And remembers when it needs to. Something that is configurable and works for a wide variety of use cases, something that scales as all your users do, and thinks and infers things no one would have expected. Moreover, it needs to be fast, as you really don’t want personalization to affect an experience, but to enhance it.
Intelligence without memory is nothing but sophisticated randomness. We add memory to the intelligence.
One day, when AGI is a thing and robots are walking around everywhere, they would need a memory as sophisticated as their intelligence. And it would be supermemory.
I believe developers shouldn’t have to reinvent the wheel to give their users better experiences with memory. And yes. The experience is better. Almost all of our early customers saw increase in app usage, customer delight, or revenue, by making their experience more personalized for the user.
Users should not be locked into a chatbot because it knows everything about them. Because all chatbots can know everything about them. All of them work with supermemory.
Memory needs to be semantic. Like the human brain - something that adapts, learns, forgets! And remembers when it needs to. Something that is configurable and works for a wide variety of use cases, something that scales as all your users do, and thinks and infers things no one would have expected. Moreover, it needs to be fast, as you really don’t want personalization to affect an experience, but to enhance it.
Intelligence without memory is nothing but sophisticated randomness. We add memory to the intelligence.
One day, when AGI is a thing and robots are walking around everywhere, they would need a memory as sophisticated as their intelligence. And it would be supermemory.
Intelligence without
memory is just
randomness.
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Supermemory™ — The Memory Engine Company of San Francisco
© 2025 Supermemory, Inc. All rights reserved
FOLLOW US
DEVELOPERS
Supermemory™ — The Memory Engine Company of San Francisco
© 2025 Supermemory, Inc. All rights reserved
FOLLOW US
DEVELOPERS
Supermemory™ — The Memory Engine Company of San Francisco
© 2025 Supermemory, Inc. All rights reserved
FOLLOW US
DEVELOPERS
Supermemory™
The Memory Engine Company of San Francisco
© 2025 Supermemory, Inc. All rights reserved