openwhispr — security grade SAFE, quality 62/100

Security audit verdict: SAFE · quality 62/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by OpenWhispr · Agent Tool · ★ 8.4k

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

🔒 Is openwhispr safe to install? View the security audit →

About openwhispr

OpenWhispr The open-source and free alternative to WisprFlow and Granola. Privacy-first voice-to-text dictation with AI agents, meeting transcription, and notes. Cross-platform for macOS, Windows, and Linux. Website &middot; Docs &middot; Download &middot; <a href="https://docs.openwhispr.com/api/ov

aianthropiccross-platformgeminigroqlinuxmacosnvidiaopen-sourceopenai

Quick Facts

Stars8,372
Forks1,030
LanguageTypeScript
CategoryAgent Tool
LicenseMIT
Quality Score61.9129701169854/100
Open Issues338
Last Updated2026-09-19
Created2025-06-19
Platformsgemini, node
Est. Tokens~15k

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Frequently Asked Questions

What is openwhispr?

openwhispr is Voice-to-text dictation app with local (Nvidia Parakeet/Whisper) and cloud models (BYOK). Privacy-first and available cross-platform.. It is categorized as a Agent Tool with 8.4k GitHub stars.

What programming language is openwhispr written in?

openwhispr is primarily written in TypeScript. It covers topics such as ai, anthropic, cross-platform.

How do I install or use openwhispr?

You can find installation instructions and usage details in the openwhispr GitHub repository at github.com/OpenWhispr/openwhispr. The project has 8.4k stars and 1030 forks, indicating an active community.

What license does openwhispr use?

openwhispr is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to openwhispr?

The top alternatives to openwhispr on Agent Skills Hub include repomix, unity-mcp, bytebot. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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