Modular announced the first projects supported through its Community Grant Program, backing six open source efforts in the Mojo and MAX ecosystem: the noeira reinforcement-learning framework written in Mojo, the bajo GPU physics simulator for parallel robotics and reinforcement-learning environments, a high-performance CPU and GPU Fast Fourier Transform implementation, the EmberJson parser, the floki HTTP client built on libcurl, and the Manim-inspired momanim animation framework. The program, launched in April 2026, pays grants starting at $500 over six months in three installments through GitHub Sponsors, prioritizes kernels, new model support and ecosystem gaps, and asks recipients to meet monthly with Modular and contribute an interview, blog post and community presentation.
Modular backs six open source Mojo and MAX projects with community grants
Modular announced the first projects supported through its Community Grant Program, backing six open source efforts in the Mojo and MAX ecosystem: the noeira reinforcement-learning framework written in Mojo, the bajo GPU physics simulator for parallel robotics and reinforcement-learning environments, a high-performance CPU and GPU Fast Fourier Transform implementation, the EmberJson parser, the floki HTTP client built on libcurl, and the Manim-inspired momanim animation framework. The program, launched in April 2026, pays grants starting at $500 over six months in three installments through GitHub Sponsors, prioritizes kernels, new model support and ecosystem gaps, and asks recipients to meet monthly with Modular and contribute an interview, blog post and community presentation.
Source: Modular