Your data stays with you
Kepler runs on your machine. Bring your own model keys, free on every plan.
Developers got their AI IDE the day their repos held still. The people keeping production alive never did. Kepler is the IDE for the ones on call.
A coding agent works because the repo holds still. An operator acts on a living world that forgets the moment you look away.
Kepler builds the two things ops never got for free.
That deepens with every incident.
That watches, and wakes itself when something moves.
Kepler runs on your machine. Bring your own model keys, free on every plan.
The commands it ran, what it saw, and what it is only guessing.
It asks before it changes anything, and can never loosen its own limits.
What you teach it stays with you and makes the next incident shorter.
Built in the open with the operators who would use it, and changed every time they told us it was wrong.
The beta ran in the open: the cohort, office hours, meetups and a full day of building in Pune. People ran Kepler on real systems, broke it, and told us what scared them.


It says it's reconnecting when nothing is wrong.
Fixed the next day. We rebuilt how the app talks to the agent, so a busy session no longer looks like a lost one.
Too many approval walls. I can't work like this.
Approve once, keep the rule. Kepler remembers what you allowed, and still asks for anything new.
My model keys are sitting in a readable file.
Fixed the next day. You were right, and we said so.
When something breaks I want an answer now, not an essay.
Fast by default. 86% of requests went to the fast model, so it became the default and depth is one step away.
Most AI tools for operations want your production data in someone else’s cloud. Kepler runs on my machine, works with the model I pick, and drives a real browser through my dashboards. It does the legwork and I never leave my flow.
Mridul GainSMTS, Platform9A deployment was crashlooping in production on out-of-memory. I gave Kepler the heap dump and the code, and it pointed to the exact place causing it.
Lokesh WaranEngineering, Cimba AII showed Kepler to our senior VP of platform infrastructure. He was impressed and told me to keep going. Now I’m bringing the wider team on.
Jason PowellSenior Infrastructure Engineer, SkillableIt feels like talking to a chat agent, so there was nothing to learn. It just works.
Chindu ReddyAI engineer



I have spent most of my working life keeping other people's systems alive. Coding agents got a perfect world model for free. The rest of us got dashboards at 3am. Kepler is my attempt at the other half: an agent that learns your infrastructure the way a good colleague does, and asks before it touches anything.
Hundreds of operators used the beta and shaped what it is today. On 20 November it opens to everyone. It ships every week and it is not finished. If something breaks or feels wrong, tell me on the Discord. I would rather hear it now than after it is polished.
Priyank UpadhyayFounder, RubixKube
Free is a real tool, not a demo. Your own model keys work on every plan.
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