Open-Science

What is Open-Science?

Open-Science is an open-source, local-first, model-agnostic AI research workbench for scientific discovery. It brings coordinator and specialist agents, Python and R execution, scientific Connectors, Reviewer checks, and traceable research artifacts into one desktop workspace for macOS, Windows, and Linux.

From the website

AIPOCH | The Open-Source Harness for Scientific Research

AIPOCH builds the open-source harness for scientific research: a model-agnostic Open-Science workbench and a growing library of audited medical research agent skills.

From the README

AI research workbench for reproducible science — open-source, local-first, and model-agnostic. AIPOCH Open-Science is an AI research workbench for scientists and researchers, developed by AIPOCH with an open-source, local-first, model-agnostic approach. It enables reproducible, inspectable research with scientific AI agents, Python and R execution, scientific data connectors, and cross-platform support for macOS, Windows, and Linux. Create a project, describe your research goal in plain language, and let the agents read files, search the web, run code, query scientific data sources, and produce reports, tables, and figures with traceable provenance—all in one workspace. AIPOCH Open-Science supports computational and data-intensive research across disciplines, including machine learning, statistics, life sciences, chemistry, materials science, physics and environmental science. It supports the research process from literature review and hypothesis development to code execution, data analysis, simulation, visualization, and the production of traceable research outputs.