Project S.A.T.U.R.D.A.Y. – open-source, self hosted, J.A.R.V.I.S.
Welcome to Project S.A.T.U.R.D.A.Y. This is a project that allows anyone to easily build their own self-hosted J.A.R.V.I.S-like voice assistant. In my mind vocal computing is the future of human-computer interaction and by open sourcing this code I hope to expedite us on that path. I have had a blast working on this so far and I'm excited to continue to build with it. It uses whisper.cpp [1], Coqui TTS [2] and OpenAI [3] to do speech-to-text, text-to-text and text-to-speech inference all 100% locally (except for text-to-text). In the future I plan to swap out OpenAI for llama.cpp [4]. It is…
In plain words
Project S.A.T.U.R.D.A.Y. is an open-source, self-hosted voice assistant that users can build themselves. It performs speech-to-text using whisper.cpp, text-to-text with OpenAI, and text-to-speech with Coqui TTS, all running locally except for the language model component. Built on WebRTC, it works without relying on native or third-party APIs. The project aims to serve as a toolbox for vocal computing applications and plans to eventually replace OpenAI with llama.cpp for fully local operation.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
Welcome to Project S.A.T.U.R.D.A.Y. This is a project that allows anyone to easily build their own self-hosted J.A.R.V.I.S-like voice assistant. In my mind vocal computing is the future of human-computer interaction and by open sourcing this code I hope to expedite us on that path. I have had a blast working on this so far and I'm excited to continue to build with it. It uses whisper.cpp [1], Coqui TTS [2] and OpenAI [3] to do speech-to-text, text-to-text and text-to-speech inference all 100% locally (except for text-to-text). In the future I plan to swap out OpenAI for llama.cpp [4]. It is built on top of WebRTC as the media transmission layer which will allow this technology to be deployed anywhere as it does not rely on any native or 3rd party APIs. The purpose of this project is to be a toolbox for vocal computing. It provides high-level abstractions for dealing with speech-to-text, text-to-text and text-to-speech tasks. The tools remain decoupled from underlying AI models allowing for quick and easy upgrades when new technology is realeased. The main demo for this project is a J.A.R.V.I.S-like assistant however this is meant to be used for a wide variety of use cases. In the coming months I plan to continue to build (hopefully with some of you) on top of this project in order to refine the abstraction level and better understand the kinds of tools required. I hope to build a community of like-minded individuals who want to see J.A.R.V.I.S finally come to life! If you are interested in vocal computing come join the Discord server and build with us! Hope to see you there :) Video demo: https://youtu.be/xqEQSw2Wq54 [1] whisper.cpp: https://github.com/ggerganov/whisper.cpp [2] Coqui TTS: https://github.com/coqui-ai/TTS [3] OpenAI: https://openai.com/ [4] llama.cpp: https://github.com/ggerganov/llama.cpp
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