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y0sif/whisrs

Voice for the Linux desktop: dictation, read-aloud, and voice-driven LLM commands. Wayland & X11: Hyprland, Sway, Niri, GNOME, KDE. Cloud or fully offline. Written in Rust.

Rust ◇ dictation MIT
★132STARS
⑂39FORKS
!14ISSUES
🏆#13,565GLOBAL RANK
🔥4DAYS TRENDING
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Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#1,263

MOST-STARRED Rust

Window7 days30 days90 days
Stars gained+7+10+90
Per day111
Forks gained+1+3+10

whisrs gained 10 stars in the last 30 days, about 1 a day, and now has 132. It is about 1 year old and has averaged roughly 132 stars a year. It ranks #1,263 among Rust repositories and #13,565 across all languages on GitHubRepo.

Trending Record

whisrs has maintained a continuous presence across global trending indexes, peaking at #12074. Below is the 30-day activity profile:

💡 Overview

whisrs is an open-source project written in Rust: Voice for the Linux desktop: dictation, read-aloud, and voice-driven LLM commands. Wayland & X11: Hyprland, Sway, Niri, GNOME, KDE. Cloud or fully offline. Written in Rust.

Engineered for speed, consistency, and developer ease, it solves common hurdles in dictation, hyprland, linux. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in Rust for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ cargo install whisrs

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Rust toolchain (rustc / cargo >= 1.70)

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

whisrs coordinates its core functionality through a modular Rust pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

🎯 Production Use Cases

Autonomous AI Agents

Orchestrate intelligent workflows and tool-calling routines with whisrs.

Model Inference & Prompting

Integrate fast, local or cloud-hosted generative AI models directly into production code.

Context Memory & RAG

Augment language models with dynamic vector retrieval and structured project memory.

Developer Productivity

Automate repetitive engineering tasks, code generation, and test creation using AI agents.

🚀 Getting Started

1

Install whisrs using your package manager: `cargo install whisrs`

2

Initialize your project workspace or configuration file for whisrs.

3

Import whisrs into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `whisrs --help` to verify successful setup.

👍 Strengths

Active community backing with 132 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT license.
Built in Rust for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Rust and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

⇄ Alternatives & Direct Competitors

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👥 Who Should Use This

Developers and engineering teams building with Rust, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

y0sif/whisrs is currently ranked #13,565 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#13,519 DEVtheOPS/opencode-plugin-otel TypeScript ★ 133 Compare ↗
#13,519 ZHINFINITY/Mpv-infinity Kotlin ★ 133 Compare ↗
#13,519 oomol-lab/open-flow TypeScript ★ 133 Compare ↗
#13,519 cobusgreyling/Jev Python ★ 133 Compare ↗
#13,519 theNetworkChuck/paperclip-guide TypeScript ★ 133 Compare ↗
#13,565 y0sif/whisrs This Project Rust ★ 132
#13,565 jerem/psdparse Python ★ 132 Compare ↗
#13,565 jqr/php-serialize Ruby ★ 132 Compare ↗
#13,565 adzap/active_enum Ruby ★ 132 Compare ↗
#13,565 openstack/tooz Python ★ 132 Compare ↗
#13,565 aeron-io/benchmarks Java ★ 132 Compare ↗
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Frequently Asked Questions

What does whisrs do? +

Voice for the Linux desktop: dictation, read-aloud, and voice-driven LLM commands. Wayland & X11: Hyprland, Sway, Niri, GNOME, KDE. Cloud or fully offline. Written in Rust.

What language is whisrs written in? +

The primary language is Rust. Topics include: dictation, hyprland, linux, llm, rust.

Is whisrs actively maintained? +

Yes, the last recorded push was on Oct 9, 2026 with 14 open issues being tracked.

How many stars does whisrs have? +

whisrs has 132 stars and 39 forks on GitHub.

How does whisrs rank among GitHub repositories? +

With 132 stars, y0sif/whisrs is ranked #13,565 globally across all repositories tracked on GitHubRepo and #1,263 among Rust projects.

What license is whisrs distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

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