AI Agents
openvla
Open-source 7B vision-language-action model and codebase for generalist robot manipulation.
★ 7.1k starsMIT
View guide →An open-source speech language model from Hume.
tada is an open-source ai agents project by HumeAI (HumeAI/tada on GitHub). It has 1,016 GitHub stars and 109 forks, is released under the NOASSERTION license, and was last updated on GitHub on 11 May 2026.
Pick one concrete task so you can judge whether the project fits.
Clone the repo and check the prerequisites listed in the README.
Install what it needs and configure credentials or model access.
Run a minimal example end to end before wiring it into your stack.
Models speech directly, not via text.
From Hume's research team.
Released openly for research.
Explore via Jupyter notebooks.
A basis for speech experiments.
Focused scope, easy to survey.
Download the source and move into the project folder.
git clone https://github.com/HumeAI/tada.git
cd tadaSet up a Python environment with the notebook dependencies.
pip install -r requirements.txtLaunch Jupyter and walk through the examples.
jupyter notebookIt is maintained by HumeAI at HumeAI/tada, with 109 forks.
GitHub does not assert a license for this repo, so treat the code as all rights reserved until the author adds one. Check the repository for any LICENSE file.
The model is open; you need compute to run it.
Compare on quality and openness for your voice use case.
Clone the repo, install dependencies, and open the notebooks to follow along.
Open-source 7B vision-language-action model and codebase for generalist robot manipulation.
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