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Argus 0.7.0

Natural-language automation compiled by an LLM, run by a deterministic engine.

filecart Android Updated Oct 29, 2026
Download 48.37 MB · argus-2101.apk
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About Argus

Argus is a Tasker-class automation app where a large language model is the compiler, not the executor.

You describe a rule in plain language — "every day at 9 send me the BTC price", "when I leave home turn off Wi-Fi", "if an OTP arrives, copy it to the clipboard". The model compiles your request into a structured, typed rule (trigger, conditions, actions). You review it rendered from the types — never from the model's paraphrase — and approve a byte-stable SHA-256 fingerprint of the executable data. From then on a deterministic engine runs the rule: OS alarms, system receivers, geofences, the notification listener. The model is never in the execution loop, except for actions you explicitly mark as generative.

Why this matters:

* Predictable — the rule that fires at 3 a.m. is exactly the one you approved, byte for byte.
* Auditable — every run is logged locally, without personal content.
* Private by design — no Argus-operated backend or account, no telemetry and no analytics. Rules, logs and encrypted API keys stay on your phone; only the provider or self-hosted bridge you explicitly configure receives compile/generative requests.

The language-model transport is pluggable: run a self-hosted bridge, or connect directly to a provider you choose. A base tier works with no elevated privileges; for system-level actions Argus can use Shizuku.

Note: connecting a proprietary provider (OpenAI, Anthropic, Google) is optional — Argus can instead use a self-hosted bridge together with its on-device deterministic actions.

Argus is free software (GPL-3.0). The interface, rule rendering and the agent all follow your system language (English or Italian).

License: GPL-3.0-only
Release info Update on Oct 28, 2026
Release notes Changed
• New look for the whole app (redesign A): a light and a dark theme that follow the system, Roboto and
JetBrains Mono bundled in the app (OFL), grouped cards, clearer status chips and a new navigation bar.
• Automations: a summary at the top (armed, waiting for approval, to review, next firing, today's errors),
computed on the whole list; tapping a counter filters, "Today" opens the Log.
• Chat: a clearer waiting card with typical times and "Cancel"; the draft card has only "Review and
approve", shows every error in full and counts the warnings.
• Approval and detail: risks and privacy notes above the rule, "Arm" the only filled button with the reason
written above it when it is disabled, the model's description after the rule, shell commands in full,
the P4 tree fully expanded. The health banner now shows in the detail too, when the rule uses Shizuku.
• Log: a filter by outcome (all, problems, generative, lifecycle); missing values read "n/a".
• System: jump-to-section chips and health tiles; the provider settings are one bottom sheet, and the API
key never shows. Onboarding: a six-step progress bar.

Added
• Approval shows the app's name next to every package, with "Change app" to pick another installed app; on
an armed rule this creates an edit to approve, it never changes the armed rule.
• A warning in approval when a rule names an app that is not installed.
• When a request names a kind of app (calculator, calendar, contacts, email, gallery, maps, messages, music,
browser, camera), the AI gets your default app for it; when several apps fit and none is the default, it
asks which one.
• The Log shows the file name of a screenshot.

Fixed
• Screen macros: "wait" with nothing to wait for, in a macro that opens an app, now waits for that app to
open (it was refused); a refused step says which step and why; with the Accessibility service off the AI
says how to turn it on instead of "not available in this version"; "check" is known to read the screen.

Which…
Listing dataF-Droid

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