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KonnonKonnon

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

Systems that maintain context across sessions. Not just conversation history — structured knowledge that grows and compounds over time.

Reasoning Systems

Multi-step inference that goes beyond retrieval. AI that reasons through problems, evaluates evidence, and arrives at conclusions.

AI Infrastructure

Owning the intelligence layer. We build our own reasoning engine, memory systems, and orchestration — not rented APIs.

Multi-Agent Systems

Coordinated intelligent systems that divide complex tasks, share knowledge, and solve problems no single agent can handle alone.

Knowledge Intelligence

Networks that connect information across documents, conversations, and domains — surfacing insights that span your entire knowledge base.

Developer Intelligence

Tools that understand your codebase, architecture, and patterns. AI that helps developers navigate complexity, not just autocomplete syntax.

Engineering

How we build.

These principles guide every decision, every line of code, and every product we ship.

01

First Principles

We reason from fundamentals. Every system is designed from the ground up, not assembled from trending frameworks.

02

Own the Stack

Our reasoning engine, memory systems, and orchestration are our own. We optimize at every level.

03

Research Before Product

We publish our thinking. Every product decision is grounded in research, not market trends.

04

Long-Term Thinking

We build for decades. Every system is designed to compound knowledge over time.

Architecture

Built from first principles.

We own the full stack — from memory layer to reasoning engine to knowledge graph.

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.

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