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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Set of π with π to help those building Voice AI agents ποΈπ€
| Date | Stars |
|---|---|
| 2026-07-24 | 304 |
| 2026-07-25 | 304 |
| 2026-07-28 | 305 |
| 2026-07-30 | 305 |
| 2026-08-06 | 305 |
Today
β stars today
This week
β stars this week
This month
β stars this month
Momentum
35.0
growth rate 0.00%/day
<div align="center"> <picture> <source media="(prefers-color-scheme: dark)" srcset="docs/assets/banner-dark.webp"> <source media="(prefers-color-scheme: light)" srcset="docs/assets/banner-light.webp"> <img src="docs/assets/banner-light.webp" alt="Voice AI: a curated learning path for building real-time voice agents" width="100%" /> </picture> **A curated, developer-friendly learning path for building real-time voice AI agents, from your first STT call to scaling production telephony.** [](https://awesome.re) [](LICENSE) [](https://github.com/mahimairaja/voiceai/stargazers) [](https://github.com/mahimairaja/voiceai/commits/main) [](#table-of-contents) [](#contributing) **English** Β· [δΈζηζ¬](./README_zh.md) </div> Voice AI has moved from research demos into shipping product in under three years. **The modern stack is converging around a clear pattern**: a real-time transport layer (WebRTC or telephony), a streaming pipeline of speech-to-text β LLM β text-to-speech, and a turn-taking model that decides when the agent should speak. This list is structured to mirror that learning order: start with the foundations, pick a framework, then drill into individual components and production concerns. Learning resources are tagged **π’ Beginner**, **π‘ Intermediate**, or **π΄ Advanced** (blogs, podcasts, and communities in sections 17-19 are intentionally left untagged). Prefer free official docs and vendor-neutral guides; flag where authors have commercial interests. --- ## How to use this list Read top-to-bottom if you're brand new. The recommended path: 1. **Foundations** β understand the pipeline and latency budget 2. **Frameworks** β pick one (LiveKit Agents or Pipecat are the safest open-source bets) and ship a hello-world 3. **Components** (STT, TTS, LLM, VAD, turn detection) β swap pieces to learn what each layer does 4. **Transport & telephony** β connect to a real phone number 5. **Evaluation, production, ethics** β make it safe enough to ship --- ## π Companion book: Voice Agents Handbook If you want this material in a tighter, opinionated, production-grade form, I wrote the **[Voice Agents Handbook](https://handbook.mahimai.ca)**: building production voice AI with LiveKit, plus appendices on choosing your stack and the LiveKit ecosystem beyond agents. Available now on Kindle (and in paperback). The README you're reading collects the field's best free resources. The book is the curated path through them, with the patterns I've used shipping voice agents for trade people, lawyers, and immigration consultants. > _Disclosure: I maintain this repo and authored the handbook. Free sample (Introduction + Chapter 1) at [handbook.mahimai.ca](https://handbook.mahimai.ca)._ --- ## Table of contents <details> <summary><b>π Expand the 21 sections</b></summary> 1. [Foundational concepts and learning paths](#-1-foundational-concepts-and-learning-paths) 2. [Frameworks and orchestration platforms](#-2-frameworks-and-orchestration-platforms) 3. [Speech-to-text (STT / ASR)](#-3-speech-to-text-stt--asr) 4. [Text-to-speech (TTS)](#-4-text-to-speech-tts) 5. [LLMs for voice and real-time AI](#-5-llms-for-voice-and-real-time-ai) 6. [Voice activity detection and turn-taking](#-6-voice-activity-detection-and-turn-taking) 7. [Audio enhancement and noise suppression](#-7-audio-enhancement-and-noise-suppression) 8. [WebRTC fundamentals](#-8-webrtc-fundamentals) 9. [Telephony and SIP](#-9-telephony-and-sip) 10. [Tuto
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Read on GitHubWould you bet a product on this? Bounded 0β100 and slow moving.
matched fp:743190b5b5efd6b6, topic:speech-recognition, topic:text-to-speech, topic:tts