Knowledge accelerates when it's shared.
We contribute to the global AI ecosystem by releasing models, code, frameworks, benchmarks, and educational material,openly, whenever we can.
Open science has driven most of the important progress in artificial intelligence. Every generation of researchers stands on open code, open datasets, and shared benchmarks.
We open-source what we can, especially when it lowers the barrier for developers, researchers, and institutions in places where AI has historically been an import rather than an export.
We do this responsibly,with model cards, evaluations, and usage-policy guidance. Open does not mean unaccountable.
Six kinds of open contributions.
Models
Open-weight language, multimodal, and speech models trained by our research teams.
Weights + configs + eval reportsResearch Code
Reference implementations for the ideas behind our papers.
Runnable + reproducibleFrameworks
Libraries for training, serving, and evaluating modern AI systems.
Batteries includedSDKs
Typed SDKs and CLIs that make the Aragt platform easy to use.
TS · Python · GoBenchmarks
New benchmarks,especially for capabilities that don't have good ones yet.
Public leaderboardsDatasets
Curated datasets, released where legally and ethically appropriate.
Data cards + licenses
What we're working on in the open.
A running list of releases in progress. Follow along and contribute.
- Modelaragt-core-base
Open-weight base language model, permissively licensed.
Coming soon - Modelaragt-african-speech
Multilingual ASR + TTS for African languages.
In progress - Frameworkaragt-agents
Framework for building, evaluating, and running agents.
In progress - Frameworkaragt-evals
Batteries-included evaluation harness for LLMs and agents.
Coming soon - Benchmarkafrican-language-bench
Community benchmark for LLMs across major African languages.
Coming soon
Our default open-source license is permissive. Model weights are released with a use policy that prohibits harmful applications.
Datasets are released only where we have a clear legal and ethical basis to do so, with full data cards and attribution.