AI-Agentic Machine Translation is an open-source framework designed for research and development in machine translation. It orchestrates three core agents—a generator, an evaluator, and a refiner—to collaboratively produce, assess, and refine translations. Built on PyTorch and transformer models, the system supports supervised pre-training, reinforcement learning optimization, and configurable agent policies. Users can benchmark on standard datasets, track BLEU scores, and extend the pipeline with custom agents or reward functions to explore agentic collaboration in translation tasks.

Localeasy is a robust and intuitive platform aimed at simplifying the app localization process. Equipped with AI capabilities, it offers a collaborative environment for developers and translators to work together seamlessly. The tool supports efficient management of translation projects, ensuring quality and consistency across different languages. Localeasy's features such as automated translations, real-time collaboration, and integration with various tools make it an ideal choice for those looking to expand their app's reach globally.