yovoice: Open-source local AI audio & music studio for macOS & Windows

by leemysw · MCP Server · ★ 1.8k

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

Security audit verdict: SAFE · quality 68/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

ai-musicaudiodesktop-applocal-aimacosmcpmidimusic-generationoffline-aiskill

Quick Facts

Stars1,769
Forks134
LanguageTypeScript
CategoryMCP Server
LicenseApache-2.0
Quality Score68/100
Open Issues8
Last Updated2026-10-21
Created2026-09-15
Platformsmcp, node
Est. Tokens~16k

About yovoice

yovoice Give your words a voice. Compose your ideas into songs. English · 简体中文 Website · CLI & Agent Skill · API / MCP Deployment · Development yovoice is an open-source, local-first audio and music creation studio for macOS and Windows. Turn text into expressive speech, natural cloned voices, complete vocal songs, and multi-track scores right on your machine.

Compatible Skills

These tools work well together with yovoice for enhanced workflows:

  • openlive — semantic(0.32)+complementary+shared_fw(ollama,openai)+rare_topics+same_lang+similar_pop+shared_platform (82%)
  • pawwork — semantic(0.18)+complementary+shared_fw(ollama,openai)+same_lang+similar_pop+shared_platform (72%)
  • tg-voice-ai — semantic(0.16)+complementary+shared_fw(openai)+rare_topics+same_lang+similar_pop+shared_platform (68%)
  • mlx-serve — semantic(0.30)+complementary+shared_fw(ollama,openai)+rare_topics+similar_pop (66%)
  • cicero — semantic(0.37)+complementary+shared_fw(openai)+rare_topics+same_lang+shared_platform (65%)

yovoice alternative? Top 6 similar tools

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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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