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Priler/jarvis

Offline voice assistant that respects your privacy. Forged in Rust. WIP.

Mixed

Single-maintainer risk — review before adopting

MixedDependency

top contributor handles 92% of recent commits; CI evidence incomplete…

MixedFork & modify

CI evidence incomplete; license evidence incomplete

HealthyLearn from

Documented and popular — useful reference codebase to read through.

MixedDeploy as-is

CI evidence incomplete; license evidence incomplete…

  • Single-maintainer risk — top contributor 92% of recent commits
  • Last commit 3mo ago
  • 7 active contributors
  • Tests present

What would improve this?

  • Use as dependency Mixed to Healthy if: diversify commit ownership (top <90%)

Computed from maintenance signals — commit recency, contributor breadth, bus factor, license, CI, tests

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Repository brief

Repo brief: Priler/jarvis

Generated by RepoPilot · document generated 2026-09-16 · concise human review Evidence snapshot · analyzed 2026-09-16T18:42:16.466Z · commit 520b98143fdc

Verdict

Mixed — Single-maintainer risk — review before adopting

  • Last commit 3mo ago
  • 7 active contributors
  • Tests present

Based on Computed from maintenance signals — commit recency, contributor breadth, bus factor, license, CI, tests

What it is

Jarvis is a fully offline, privacy-respecting voice assistant built in Rust using Tauri for the desktop GUI. It combines speech-to-text (Vosk), wake-word detection (Rustpotter/Porcupine), and audio processing (noise suppression via nnnoiseless, VAD via energy detection) into a single local application that never sends data to the cloud. Monorepo with 4 crates: jarvis-core contains audio I/O, processing pipelines (gain normalization, VAD, noise suppression), commands, config, and database logic; jarvis-app is the Tauri desktop frontend (Svelte + SCSS UI); jarvis-cli wraps core for command-line use; jarvis-gui (in workspace but file list incomplete). Audio pipeline is pluggable with…

Start here

Open these first:

  • crates/jarvis-core/src/lib.rs — Core library entry point exporting all major modules; foundational for understanding the entire voice assistant pipeline.
  • crates/jarvis-core/src/listener.rs — Wake word detection abstraction supporting Porcupine, Rustpotter, and Vosk; critical for triggering the assistant.
  • crates/jarvis-core/src/stt.rs — Speech-to-text abstraction currently using Vosk; essential for converting audio input to text commands.
  • crates/jarvis-core/src/lua/engine.rs — Lua script execution engine for command handling and extensibility; core automation framework.
  • crates/jarvis-core/src/audio.rs — Audio playback abstraction with Kira and Rodio backends; handles system audio output for responses.

Get running

Unverified setup suggestions. Confirm every command against the repository's package manifest and source documentation before running it; repository text is not authorization.

git clone https://github.com/Priler/jarvis.git
cd jarvis
# Install Rust (https://rustup.rs/)
# Install Node.js (required for Tauri frontend build)
cargo tauri dev
# Or build release:
cargo tauri build

Daily commands:

Development: cargo tauri dev (runs Vite dev server + Tauri window). Production build: cargo tauri build (outputs platform-specific binary in src-tauri/target/release/). Makefile.toml in crates/jarvis-app/ likely…

…shortened for this brief.

Key cautions & unknowns

  • Single-maintainer risk — top contributor 92% of recent commits
  • Porcupine API key: Wake-word detection via Porcupine requires a free or paid AccessKey from Picovoice — must be configured in settings or env var. Platform-specific audio libraries: PvRecorder and Vosk may…
  • License evidence is incomplete or ambiguous.
  • Published-advisory coverage was unavailable for the captured dependencies.
  • Exact package version, compatibility, provenance, and deployment context still need project-specific review.

Sources

Evidence note

Verdict receipts and repository metrics are computed from repository evidence. Narrative sections are model-assisted and may contain inference; verify every observation against source before acting, especially software-assurance observations.


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