OA Agency
We help existing AI products remember what matters, understand what changed, & use that understanding to decide what to do next.
Persistent Intelligence
What happened before should change what your AI does next.
AI that understands over time
PROBLEM
Memory is only the beginning.
Memory can tell an AI what happened before.
The harder problem is knowing what is still true, what changed, what matters now, and how that should change what happens next.
If someone tells the AI their son is sick, remembering that fact is not enough. The relationship should remain, the illness should change with reality, and the AI should know when it matters to ask again — and when it no longer does.
Yesterday can change what your AI does today.
WHY WE'RE HERE
We work on one specific class of problem: AI that needs an evolving understanding across time.
If that problem is already on your roadmap — or inside a role you are hiring for — we would like to be considered for the work.
Best fit: a defined capability, a technical counterpart, and a finish line.
One team. One scope.
One point of contact.
We'll tell you quickly whether there is a fit.
HOW WE THINK
Ask one question:
What should your AI understand after knowing someone for a year that it cannot understand on day one?
Then map what should stay known, what changes, what matters now, and how that should change what happens next.
Add only what is missing.
Prove it on real behavior.
Hand it back working.
WHAT WE'VE BUILT
The architecture behind our work began in 2020.
It coordinates memory, changing state, reasoning, agents, tools, and action so an AI can carry understanding forward as things change.
The architecture already exists.
With a client, we adapt what fits and prove the capability inside the product they already have.
The goal is simple: make your AI reliably do something it could not reliably do before.
WHY US
We are a two-person external AI systems team combining product leadership with senior technical architecture and implementation.
Freddie leads product, customer, scope, and delivery.
Byron leads technical architecture and implementation, with NASA systems engineering experience.
We work as one team.
LLMs / NLP
Context Infrastructure
Linux
State Management
Python
Long-Term Memory
C++
Memory
API Integration
Cloud & Data Infra
Machine Learning
WHERE WE HELP
Long-Term Memory
Context + State
Longitudinal AI
Persistent Agents
User + Learner Models
Personalization
NASA systems engineering
Founder-led product delivery
One accountable point of contact
Deep AI systems expertise
Existing architecture to adapt
Product + engineering in one team
Get in Contact:
Give AI More Context.
So AI Will Make Better Decisions.
Get in Contact:
WHAT WE DO
We build AI systems whose understanding gets better as the relationship or work continues.
They remember what happened, understand what changed, judge what matters now, and use that to decide what should happen next.
Memory remembers what happened. Persistent Intelligence understands what it means now.
HOW IT FITS
Built to work with what you already have.
You already have a product, models, data, infrastructure, and an engineering team.
We compare our architecture with what you already have, identify what is missing, adapt what fits, and prove one real capability inside your product.
Add only what is missing. Prove it on real behavior. Hand it back working.
Whether the AI needs to understand a person, patient, learner, customer, relationship, body of work, or environment, the underlying problem is the same.