MOmonkeydust·Feb 21, 2024
https://github.com/vocodedev/vocode-python
If your looking for phone flavour, also very good. Curious which is 'better'
In Launch HN: Retell AI (YC W24) – Conversational Speech API for Your LLMvocodedev
vocode-core
Python2023–2024
vocodedev / vocode-core
vocode-core
🤖 Build voice-based LLM agents. Modular + open source.
6Distinct people
8Mentions
0Explicit recommenders
3.8KGitHub stars
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What it is
🤖 Build voice-based LLM agents. Modular + open source.
GitHub
Where it is used
No documented product use has been verified yet.
What people are saying
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This week on Hacker News
Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 3:56:07 PM UTC.
No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.
Mentions over time
HN mentions by month8 dated mentions
Observed mentions: 2023-03-29 15:43:36 UTC to 2024-02-21 20:24:15 UTC.
Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.
View mention counts and date ranges
| Period | Start (UTC) | End (exclusive, UTC) | Mentions | Submissions | Comments |
|---|---|---|---|---|---|
| Mar 2023 | 2023-03-01 00:00:00 UTC | 2023-04-01 00:00:00 UTC | 4 | 1 | 3 |
| Apr 2023 | 2023-04-01 00:00:00 UTC | 2023-05-01 00:00:00 UTC | 1 | 0 | 1 |
| May 2023 | 2023-05-01 00:00:00 UTC | 2023-06-01 00:00:00 UTC | 0 | 0 | 0 |
| Jun 2023 | 2023-06-01 00:00:00 UTC | 2023-07-01 00:00:00 UTC | 0 | 0 | 0 |
| Jul 2023 | 2023-07-01 00:00:00 UTC | 2023-08-01 00:00:00 UTC | 0 | 0 | 0 |
| Aug 2023 | 2023-08-01 00:00:00 UTC | 2023-09-01 00:00:00 UTC | 0 | 0 | 0 |
| Sep 2023 | 2023-09-01 00:00:00 UTC | 2023-10-01 00:00:00 UTC | 0 | 0 | 0 |
| Oct 2023 | 2023-10-01 00:00:00 UTC | 2023-11-01 00:00:00 UTC | 0 | 0 | 0 |
| Nov 2023 | 2023-11-01 00:00:00 UTC | 2023-12-01 00:00:00 UTC | 0 | 0 | 0 |
| Dec 2023 | 2023-12-01 00:00:00 UTC | 2024-01-01 00:00:00 UTC | 1 | 0 | 1 |
| Jan 2024 | 2024-01-01 00:00:00 UTC | 2024-02-01 00:00:00 UTC | 1 | 0 | 1 |
| Feb 2024 | 2024-02-01 00:00:00 UTC | 2024-03-01 00:00:00 UTC | 1 | 0 | 1 |
What Hacker News says
8 sourcesThis post reminded me of Vocode:
https://github.com/vocodedev/vocode-python
Discussion on them here from 10 months ago:
https://news.ycombinator.com/item?id=35358873
I tried the demo back then and was very impressed. Anyone using it in dev or production?
In Show HN: WhisperFusion – Low-latency conversations with an AI chatbotAvailable as a phone line API (https://www.vocode.dev) and OS project (https://github.com/vocodedev/vocode-python)
In Jarvis: A Voice Virtual Assistant in Python (OpenAI, ElevenLabs, Deepgram)Coqui also looks interesting.
https://github.com/coqui-ai/TTS
Support for it was recently added to vocode:
https://github.com/vocodedev/vocode-python/pull/56
In QuiLLMan: Voice chat with Vicuna-13BGiven that Vocode (realtime audio, llm, etc) came out a few days ago, could you speak to how yours compares to it?
https://github.com/vocodedev/vocode-python
In Show HN: YakGPT – A locally running, hands-free ChatGPT UIThe short answer is that everything is streaming — as tokens come back from ChatGPT we send them as soon as possible to the synthesizer. The long answer is found in our code[0] :).
[0] https://github.com/vocodedev/vocode-python/blob/main/vocode/...
In Launch HN: Vocode (YC W23) – Library for voice conversation with LLMsthanks!! Sampling rate actually shouldn't affect talking speed - you can adjust the voice speed with this parameter[0] :)
[0] https://github.com/vocodedev/vocode-python/blob/main/vocode/...
In Launch HN: Vocode (YC W23) – Library for voice conversation with LLMsLaunch HN: Vocode (YC W23) – Library for voice conversation with LLMs
Hey everyone! Kian and Ajay here from Vocode–an open source library for building LLM applications you can talk to. Vocode makes it easy to take any text-based LLM and make it voice-based. Our repo is at https://github.com/vocodedev/vocode-python and our docs are at https://docs.vocode.dev.
Building realtime voice apps with LLMs is powerful but hard. You have to orchestrate the speech recognition, LLM, and speech synthesis in real-time (all async)–while handling the complexity of conversation (like understanding when someone is finished speaking or handling interruptions).
Our library is easy to get up and running–you can set up a conversation in <15 lines of code. Check out our Gen Z GPT hotline demo: https://replit.com/@vocode/Gen-Z-Phone (try it out at +1-650-729-9536).
It all started with our PrankGPT project that we built for fun (qui
Read the rest
ck demo at https://www.loom.com/share/0d0d68f1a62f409eb5ae24521293d2dc). We realized how powerful voice + LLMs are but that it was hard to build.
Once we got everything working, it was really cool and useful. Talking to LLMs is better than all the voice AI experiences we’ve had before. And, we imagined a host of cool applications that people can build on top of that.
So, we decided to build a developer tool to make it easy. Our library is open source and gives you everything you need in a single place.
We give you a bunch of integrations out-of-the-box to speech recognition/synthesis providers and let you swap them out easily. We have platform support across web and telephony (via Twilio), with mobile coming soon. We also provide abstractions for streaming conversation (this is good for realtime apps like phone calls) and for command-based/turn-based applications (like voice-based chess). And, we provide customizability around how the conversation is done—things like how to know when someone is finished speaking, changing emotion, sending filler audio if there are delays, etc.
In terms of “how do you make money” – we have a hosted version that we’re going to charge for (though right now you can get it for free! https://app.vocode.dev) and we're also going to build enterprise products in the future.
We’d love for you to try it out and give us some feedback! And, if you have any demos you'd like to see – let us know and we’ll take a crack at building them. We’re curious about your experiences using or building voice AI, what features or use cases you’d love to see, and any other ideas you have to share!