ResearchOS (Individual)

ResearchOS - from Reading Papers to Investigating Science ResearchOS is an autonomous scientific research workspace that helps researchers move from understanding papers to investigating scientific questions. Scientific research is fragmented across PDF readers, literature databases, handwritten notes, and experimental environments. Existing AI paper assistants can summarize documents, but they rarely maintain a persistent understanding of a research question, critically examine scientific evidence, or independently test computational claims. ResearchOS brings these workflows together. Researchers can create projects, upload scientific papers, and use an interactive PDF reader where equations, figures, tables, and claims are identified, localized, and explained in the context of their research question. A persistent AI research agent connects evidence across papers, identifies methodological differences, discovers related literature, highlights potential novelty overlaps, and tracks unresolved questions. ResearchOS also goes beyond explanation through two verification capabilities: - Scientific Evidence Auditing: Recomputes numerical results, examines methodological assumptions, and evaluates consistency across studies. - Computational Verification: Plans and executes feasible experiments in isolated Modal sandboxes, preserving code, measurements, artifacts, and limitations. Powered by Meta Muse Spark Open, the agent operates through durable LangGraph workflows with a scientific investigator, independent critic, deterministic validation, bounded self-correction, and human-in-the-loop review that can pause and resume across sessions. ResearchOS doesn't replace scientific judgment. It helps researchers investigate more efficiently, examine evidence more rigorously, and make better-informed research decisions.