A shared phone.
Twenty minutes, three days a week.
No tutor, no reliable internet.
This is Maya — and there are millions like her.
Bright students in underserved schools
don't lack free material — they lack follow-through.
Practice results, class notes, occasional tutoring:
all fragmented. Every session starts from zero.
A chatbot answers questions.
An agent takes action.
GitLearnOS turns one learner-owned Git repository into durable state —
so any AI agent becomes a tutor that never forgets,
and never locks you in.
Real practice becomes an evidence-linked gap.
The agent picks the smallest useful next question —
not another worksheet.
Every answer is preserved,
every step is a reversible Git commit.
Auditable. Undoable. Yours.
Here is a real SAT workflow.
Maya imports feedback from Bluebook Math Module One:
two percent problems missed by multiplying the final value by zero point eight.
The agent preserves that evidence without inventing a score trend.
It asks what quantity the multiplier belongs to,
then gives one original SAT-style problem.
Maya models zero point eight p equals seventy-two
and solves p equals ninety without a hint.
GitLearnOS saves the equation and reasoning, not just ninety,
turns the error into a reusable rule,
and queues a new context for forty-eight hours later.
One immediate success stays learning.
Transfer is the evidence.
Text-first. No database, no server, nothing always-on.
It works with the free materials schools already have,
and with any agent the student can reach —
ChatGPT, Claude, Codex, OpenCode — or none at all.
The learner owns every byte.
GitLearnOS.
Learning happens anywhere — the state belongs to you.