Science-Star provides a framework for scientific AI agents built on the ReAct engine with modules for Planning, Action, Memory, and Reflection. It includes benchmarks like Humanity’s Last Exam (HLE) and GAIA, and supports a multi-agent architecture combining CodeAgent with search agents. The platform offers tooling for search, web crawling, PDF parsing, and RAG retrieval, enabling researchers and developers to run experiments and extend the system.