awesome-voice-agents: A curated list of voice AI agent frameworks, tools, resources, and best practices

by whobot-ai · Agent Tool · ★ 71

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

Security audit verdict: SAFE · quality 55/100

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.

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.

agentsrealtime-chatsttttsvadvoice-activity-detectionvoice-agentsvoice-assistantvoice-cloningvoice-conversion

Quick Facts

Stars71
Forks74
CategoryAgent Tool
LicenseCC0-1.0
Quality Score55/100
Last Updated2026-11-01
Created2025-11-03
Est. Tokens~28k

About awesome-voice-agents

Awesome Voice Agents A curated list of voice AI agent frameworks, tools, resources, and best practices | 精选的语音 AI Agent 框架、工具、资源和最佳实践 Welcome to Awesome Voice Agents! This is a carefully curated collection of resources related to voice AI agents, covering core technologies such as endpoint detection, turn-taking management, real-time speech recognition, and speech synthesis.

Compatible Skills

These tools work well together with awesome-voice-agents for enhanced workflows:

  • openlive — semantic(0.52)+complementary+rare_topics+similar_pop (62%)
  • awesome-voice-agents — semantic(1.00)+rare_topics+similar_pop (60%)
  • OpenVoiceUI — semantic(0.52)+complementary+rare_topics+similar_pop (58%)

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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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