Research

Pushing the limits of agentic AI

At Argenix, we’re advancing the frontier of agentic AI. We build safe, reliable AI agents designed for full transparency, so you always know exactly what they’re doing and why.

Research

Research is how we decide what to build. We work on plain questions: when an agent should stop and ask, and how its work stays checkable afterward.

Our work

Products

Argentic Code is our first product: a desktop app where coding agents work in your own projects, with every step visible and every change a diff you can read.

Our products

Models

Models are our long-term bet. We build on other companies’ models today and depend on no single one; the goal is to train our own, made for agent work.

Our mission

Where the work ships

Products are how the work above reaches people. The first one is live today.

All products

Agentic AI coding software for the desktop: agents that work on your real files, with every step visible.

Open Argentic Code
Argentic Code: an agent session reading files, editing them as diffs, and re-running the tests

How we run

People stay in charge

Our agents propose; the person decides. Consequential actions stop and ask first, and every change is reviewable before it lands. We treat this as the product, not a preference.

Independent by design

Argenix is not owned by, funded by, or beholden to any model vendor. We build with whichever models are genuinely best, and you choose among them.

Small on purpose

A small company, run like one. The people who build the products read the support inbox, decisions take a conversation instead of a quarter, and things ship when they are ready.

Built to be used

We build for the second month of daily use, not the first five minutes of a demo — real workflows, honest limits, and details that hold up.

AI is learning to do real work on its own. Whether people stay in charge of that work is a choice — one we make, deliberately, in everything we build.

See the work for yourself

Explore what we’ve shipped so far, or write to us — the people who build the products read the inbox.