I found the Voicebox trending this week on Github. I got the below definition from their README.
Voicebox is a local-first AI voice studio - a free and open-source alternative to ElevenLabs and WisprFlow in one app. Clone voices from a few seconds of audio, generate speech in 23 languages across 7 TTS engines, dictate into any text field with a global hotkey, and give any MCP-aware AI agent a voice of your choosing.
The two cloud incumbents sit on opposite halves of the voice I/O loop - ElevenLabs on output, WisprFlow on input. Voicebox does both, bridges them with a bundled local LLM for refinement and per-profile personas, and runs the whole thing on your machine.
Complete privacy - models, voice data, and captures never leave your machine
7 TTS engines - Qwen3-TTS, Qwen CustomVoice, LuxTTS, Chatterbox Multilingual, Chatterbox Turbo, HumeAI TADA, and Kokoro
Voice cloning and preset voices - zero-shot cloning from a reference sample, or 50+ curated preset voices via Kokoro and Qwen CustomVoice
23 languages - from English to Arabic, Japanese, Hindi, Swahili, and more
Expressive speech - paralinguistic tags like [laugh], [sigh], [gasp] via Chatterbox Turbo; natural-language delivery control via Qwen CustomVoice
Unlimited length - auto-chunking with crossfade for scripts, articles, and chapters
Stories editor - multi-track timeline for conversations, podcasts, and narratives
Voice input - global dictation hotkey with push-to-talk and toggle modes, accessibility-verified auto-paste on macOS, in-app mic on every text field, Whisper-based STT
Agent voice output - one tool call (voicebox.speak) and any MCP-aware agent (Claude Code, Cursor, Cline) speaks to you in a voice you've cloned
Voice personalities - attach a free-form persona to any voice profile, then Compose, Rewrite, or Respond via a bundled local LLM - agents can invoke the same modes over MCP
API-first - REST API plus a built-in MCP server for integrating voice I/O into your own apps and agents
Native performance - built with Tauri (Rust), not Electron
I spent 3+ years studying OSS codebases and wrote 400+ articles on what makes the production-grade. Now I'm putting that into practice differently - instead of writing every fix myself, I run coding agents that do it.
How it works? Register your machine as a Runtime, point it at your repo. Agents pick up issues. write the fix, open the PR. You just review, they execute.