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A shared phone.

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Twenty minutes, three days a week.

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No tutor, no reliable internet.

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This is Maya — and there are millions like her.

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Bright students in underserved schools

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don't lack free material — they lack follow-through.

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Practice results, class notes, occasional tutoring:

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all fragmented. Every session starts from zero.

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A chatbot answers questions.

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An agent takes action.

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GitLearnOS turns one learner-owned Git repository into durable state —

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so any AI agent becomes a tutor that never forgets,

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and never locks you in.

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Real practice becomes an evidence-linked gap.

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The agent picks the smallest useful next question —

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not another worksheet.

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Every answer is preserved,

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every step is a reversible Git commit.

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Auditable. Undoable. Yours.

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Here is a real SAT workflow.

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Maya imports feedback from Bluebook Math Module One:

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two percent problems missed by multiplying the final value by zero point eight.

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The agent preserves that evidence without inventing a score trend.

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It asks what quantity the multiplier belongs to,

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then gives one original SAT-style problem.

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Maya models zero point eight p equals seventy-two

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and solves p equals ninety without a hint.

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GitLearnOS saves the equation and reasoning, not just ninety,

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turns the error into a reusable rule,

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and queues a new context for forty-eight hours later.

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One immediate success stays learning.

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Transfer is the evidence.

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Text-first. No database, no server, nothing always-on.

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It works with the free materials schools already have,

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and with any agent the student can reach —

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ChatGPT, Claude, Codex, OpenCode — or none at all.

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The learner owns every byte.

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GitLearnOS.

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Learning happens anywhere — the state belongs to you.