One command, done
Ask in plain English. It plans, edits, verifies, and hands you the diff — in an interactive session or a single shot.
AI coding agents · grounded in your context
Everyone has the same models.
Your edge is context.
Oxagen is an AI coding agent for your terminal and a control plane for your whole fleet. It turns your code and business data into one connected map, so agents get the right answer the first time — and every action they take is approved, measured, and on the record.
Free 14-part ebook by our founder · or dive straight into the docs
The agent — in your terminal
An agent that already knows your codebase
Type what you want done. The agent reads your code, makes the edits, runs the checks, and shows its work — grounded in your team's shared map, not just the files in front of it.
Dispatch a fleet
One goal becomes many tasks. Several agents work in parallel, each safely in its own copy of the repo, and report back as one.
Private by default
Run the agent on a model that lives on your own machine. Works offline, no key required, nothing leaves the laptop.
Grounded in your map
Pull your workspace's connected map down locally. The agent reasons with your architecture and past decisions — with citations, not guesses.
$ npm install -g @oxagen/cli
Bring your own model keys — or run fully on-device. Your account plugs in when you want the shared map.
The platform — mission control
Mission control for every agent you run
The same map and rules power the web app, the API, and your editor's tools — so the whole team and every agent work from one governed place.
Approved before it runs
Decide who and what can take each action. Anything outside the rules simply doesn't run — no exceptions to chase later.
Measured as it runs
Every model call and tool action is counted, so you always know what your agents cost — down to the team, the task, and the customer you bill.
On the record after it runs
A tamper-evident log of every action, ready for your next security review — instead of a scramble before it.
One shared map
Connect your sources once. Answers come back grounded in your own data, with citations you can open — in the app, over the API, or in your tools.
How it works
Three moves. No rewiring.
STEP 01
Connect
Point Oxagen at your code and the tools your team already uses. It builds one connected, living map of how everything relates.
STEP 02
Ask
Work with the agent in your terminal or in the app. It answers from your map — right the first time, with sources you can check.
STEP 03
Govern
Set the rules once. Every action any agent takes is approved up front, measured as it happens, and kept on the record.
Free ebook · read online or download
The field manual behind the product
Why is the same model brilliant in one team's hands and useless in another's? Our founder's answer, in 14 parts: the next leap in AI coding isn't a bigger model — it's a better system around the model. This is the playbook we build Oxagen by.
- Why agents that search and guess burn time, money, and trust
- How to hand a model exactly the context it needs — every time
- What to measure so results are repeatable, not lucky
Prefer the full reader? Open the book →
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Get a demo
See your edge in 30 minutes
Bring a repo and a question. We'll show you what your agents can do when they stop guessing — and what it looks like to have every run approved, measured, and on the record.
- Live walkthrough on your use case, not a canned deck
- Straight answers on rollout, pricing, and security review
- You keep the map you build in the session