kartikeya 0.0.1

Kartikeya — a standalone bubblewrap-sandboxed task queue and worker. Backend-agnostic (SQLite or Postgres); the execution engine formerly known as Kart.

Kartikeya

Skanda · Murugan — the six-faced commander of the divine armies, born to lead the devas. The engine that marshals and runs a fleet's tasks. Colloquially: Kart.

A standalone, host-agnostic task queue + sandboxed worker. Submit shell (or, optionally, LLM-workflow) tasks to a queue; a worker claims them and runs each in a bubblewrap sandbox with an explicit mount/credential/network policy.

Kartikeya is the execution engine extracted from the Willow fleet (willow-2.0/core/kart_*) and made to stand on its own — no fleet, no specific host, no required database server.

Status

Pre-alpha, under active extraction. This repo is the target of a staged lift described in docs/DESIGN.md. The scaffold and the TaskQueue interface are in place; the sandbox/worker/execute core is being decoupled from its origin and brought over next.

Design goals

• Host-agnostic. The only coupling — "where do tasks live" — is a small TaskQueue interface a host implements. Kartikeya owns the sandbox, worker loop, lanes, and command scan; the host owns storage and file roots.
• Zero-infra by default. Ships a reference SqliteTaskQueue, so pip install kartikeya can execute tasks with no Postgres and no fleet.
• Backend-swappable. SQLite (bundled), Postgres, or a custom backend behind the same interface.
• Sandboxed and network-gated. Tasks run network-isolated unless the stored task text carries a # allow_net directive; credentials reach only network- enabled tasks. (Who is allowed to write that directive is the host's call — see the security note in docs/DESIGN.md.)

Install

pip install kartikeya            # base: shell tasks, SQLite backend
pip install "kartikeya[postgres]"  # + Postgres backend helpers
pip install "kartikeya[llm]"       # + LLM-workflow task type

Quickstart

Coming with stage 2 — once the worker core lands, this section documents kartikeya worker end to end (submit → worker runs → poll).

License

MIT © Sean Campbell