by allgpt-co · MCP Server · ★ 352
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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 | 352 |
| Forks | 425 |
| Language | TypeScript |
| Category | MCP Server |
| License | AGPL-3.0 |
| Quality Score | 68.9511567354593/100 |
| Open Issues | 99 |
| Last Updated | 2026-07-25 |
| 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 352 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 352 stars and 425 forks, indicating an active community.
QuickVoice is released under the AGPL-3.0 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.