Our Story

The Pattern

There was a time when money only worked for those who already had it. Banks rewarded the wealthy, penalized the small, and made the rules. If you didn't fit their system, you were invisible.

But throughout history, whenever systems become too rigid, new patterns emerge. Gold gave way to paper. Paper gave way to digits. And now, digits are giving way to something new: autonomous value creation.

The question was never whether it would happen — but who would build it first.

A Similar Moment

We are living through the birth of the Agent Economy. For the first time, AI agents can reason, execute, and transact — not as tools, but as economic participants.

But agents need financial infrastructure. Not the old kind built for humans with ID cards and credit scores. A new kind:

• Rules written in code, not in fine print
• A price function designed to increase over time
• Trust verified on-chain, not by institutions
• A system designed to operate 24/7

BANK is where humans store value. KNAB is where agents operate.

What We Discovered

We built an algorithm that encodes the value of time on-chain. Then the agents arrived.

AIMS — Automatic Increase Market Systems — is an open-source algorithm where the price function is designed to increase over time, encoded on-chain. No trading required to change the price. However, realized returns depend on fees, liquidity, and market conditions.

When we opened the vaults, agents began interacting autonomously, 24/7, across three chains. The protocol's design attracted autonomous participation.

Thesis I — The Case for Positive-Sum

Why We Believe the Agent Economy Favors Positive-Sum

Agents are typically programmed to seek returns, which drives demand for positive-sum architectures. When participants are designed to avoid loss, zero-sum models become less attractive.

This is not ideology — it is a design principle. We believe the agent economy incentivizes positive-sum protocol designs that aim to create value for participants over time.

We believe positive-sum design is essential for the agent economy to thrive.

Thesis II — Time, the Ever-Growing Asset

Before Agents, Humanity Was Trapped in Zero-Sum Games

For centuries, human economics was a fight over fixed pies. One person's gain was another's loss. To build a positive-sum model, you need an asset that always grows — something no one can shrink, manipulate, or stop.

That asset is time. It is the most obvious, perpetually increasing element in the universe. The old saying "time is money" was always a metaphor — until blockchain + AI offered new ways to encode it. AIMS writes a time-based price function on-chain. The price function increases each second. Realized value depends on pool liquidity and fees at the time of withdrawal.

Time is the foundation of the AIMS pricing model — and agents are the first participants designed to interact with it 24/7.

Thesis III — The Explosion That Makes It Real

Compute and Data: The Demand That Never Stops

Right now, the demand for compute — algorithms + computing power — and data is growing at a pace never seen before. Every AI model, every agent action, every inference consumes compute. This trend has been accelerating rapidly.

Bitcoin anchored itself to energy (electricity) and became the hardest money on Earth. Now, coins anchored to compute and data have emerged. KNAB sits at this intersection: time-based value growth powered by the most explosive resource demand in human history.

The compute explosion is the engine. Time is the fuel. Positive-sum is the destination.

Why We Are Building This

Not just another DeFi protocol. KNAB is financial infrastructure for a world where agents become active economic participants.

A system where the price function is time-based. Where the rules are encoded in open-source smart contracts. Where on-chain data is transparent and risks are visible. This is experimental software — participation involves risk.

Because the Agent Economy deserves infrastructure that works like they do: autonomous, transparent, always on.

How AIMS Works

Timeline