Runs on the AI you already pay for
The AI you already use, working even when you aren't.
Tell Karsa what you want — once. It becomes a system on your machine: morning briefs, standing reactions, a backlog worked overnight.
$curl -fsSL https://karsa.app/install.sh | sh
Requires Claude Code or Codex — you probably already have one. No account, no new AI bill. macOS & Linux.
One sentence, then it runs itself
brief me on this repo every morning at 7
Done — every day at 07:00 I'll post a brief in this chat. Pause or delete it anytime.
Morning brief: 3 commits since yesterday — the payment-retry fix landed and tests are green. One PR is waiting on your review. CI is clean; nothing overdue.
Illustrative transcript — the chat UI streams real runs live. Behind it: a planner turned your sentence into a standing job; a timer woke your own machine at 07:00; your Claude/Codex subscription did the reading.
Why Karsa
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01
Persistent — not another chat window
Most AI tools answer a prompt and forget. Karsa keeps state: standing schedules, reactions to your data, and a task backlog a worker agent executes — with retries, ordering, and progress reported back to your chat. It runs whether or not you're at the keyboard.
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02
Runs on the subscription you already have
Karsa is engine-agnostic: it drives Claude Code today and Codex tomorrow, and your systems don't care which. That $20–200/month you already pay sits idle most of the day — Karsa is how it works the other 22 hours. No new AI bill, no per-token markup.
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03
Yours — on your machine, in plain files
Everything runs locally. Your systems, schedules, and data are readable files under your home, versioned in git — inspectable, editable, and yours to back up. No account required to start.
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04
A real runtime underneath
Karsa is a local-first runtime where AI-powered systems live — think an application server whose primitives are agents, events, schedules, tasks, and storage instead of HTTP and SQL. Engines are interchangeable muscle; the runtime — and everything it holds — is yours. Designed so the same project can lift to the cloud when you scale.