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by allgpt-co · MCP Server · ★ 490
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🔒 Is QuickVoice safe to install? View the security audit →
QuickVoice Open-source AI phone-agent infrastructure you can run, inspect, and extend. QuickVoice is the open-source Retell alternative for engineering-led teams that want control over the voice-agent stack instead of only consuming a closed hosted API. It gives teams the full product surface in one repo: a marketing site, customer console, API server, LiveKit-powered AI worker, telephony integrations, knowledge bases, call logs, outbound campaigns, billing paths, MCP/tool connections, privacy controls, and local development tooling. Website: quickvoice.co Project status: QuickVoice is under active development and has not published a stable release yet. Review the roadmap, draft v0.1.0 notes, and known setup boundaries before evaluating it for production. 30-Second Tour What it does: build AI agents that answer inbound calls, place outbound calls, use uploaded knowledge, and record operational outcomes. Why it exists: keep the voice-agent stack inspectable instead of outsourcing every runtime, data, cost, and telephony decision to a closed platform. What you can run locally: the
| Stars | 490 |
| Forks | 546 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 68.9511567354593/100 |
| Open Issues | 97 |
| Last Updated | 2026-09-11 |
| Created | 2026-03-23 |
| Platforms | docker, mcp, node |
| Est. Tokens | ~17k |
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QuickVoice is Open-source, self-hostable platform for building and operating AI phone agents.. It is categorized as a MCP Server with 490 GitHub stars.
QuickVoice is primarily written in TypeScript. It covers topics such as agpl, ai-voice-agents, call-automation.
You can find installation instructions and usage details in the QuickVoice GitHub repository at github.com/allgpt-co/QuickVoice. The project has 490 stars and 546 forks, indicating an active community.
QuickVoice is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to QuickVoice on Agent Skills Hub include Patter, full-stack-ai-agent-template, medusa. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
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: