Technology
The systems we're building.
Research areas, engineering principles, and the architecture behind Konnon's intelligent software systems.
Research Focus
Where we invest our research.
We focus on the foundational problems that make AI systems genuinely useful in practice.
Persistent Memory
How can a system carry useful context across sessions without treating every past message as equally important?
Reasoning Systems
How can an answer follow evidence and constraints through several steps, while showing what remains uncertain?
AI Infrastructure
The architecture needed to connect memory, sources, and reasoning in a dependable workspace.
Multi-Agent Systems
Exploring how coordinated tools can divide complex work without obscuring who did what or why.
Knowledge Intelligence
Connections between documents, conversations, and decisions that help a person recover the story behind their work.
Developer Intelligence
Ways to keep architectural decisions and project constraints available during ongoing technical work.
Engineering
How we build.
These principles guide every decision, every line of code, and every product we ship.
First Principles
Start with the actual problem and the evidence around it. Choose methods because they help, not because they are fashionable.
Own the Stack
We make deliberate choices about the memory, reasoning, and orchestration layers rather than treating an integration as the whole product.
Research Before Product
Research notes make our questions and assumptions visible. Product experiments give us a practical way to test them.
Long-Term Thinking
Favor decisions that can be revisited and improved as the work, evidence, and people around a project change.
Architecture
Built from first principles.
A view of the layers we are designing, from remembered context to a grounded answer. These are development directions, not generally available specifications.
Memory Layer
Persistent, structured knowledge that survives across sessions and grows with use.
Reasoning Engine
Multi-step inference that evaluates evidence and arrives at conclusions — not just retrieval.
Knowledge Graph
Connected information across documents and domains, surfacing insights that span your work.
Open Research
We publish our thinking.
Research notes on persistent memory, reasoning systems, and building intelligence that compounds.
Interested in Aruvo?
Tell us what you are working on. We will share availability details when early-access places open.