# Open-Science

Open-Science is an open source AI scientific research workbench launched by AIPOCH. It is aimed at researchers who need to continuously check information, process data and organize results around the topic. It undertakes research tasks on a project basis, keeps the background of the problem relevant to subsequent work, and reduces repeated switching between chat tools, computing environments, and folders. The software is available in macOS, Windows and Linux desktop versions and can connect to different model services or compatible local models. Project data is stored on the local machine by default, and data may be sent out when calling external models, scientific research services, or remote computing power. It emphasizes that the research process can be checked, and the analysis conclusions still need to be verified by the researcher. Core function: Scientific research data retrieval: Connect literature and scientific research databases, allowing research tasks to call data sources in corresponding fields, and collect reference information for reviews and topic analysis. Code analysis and calculations: Run Python or R in the workspace, retain analysis status, and combine data processing, calculations, and charting in the same research task. Division of special tasks: Let the main agent hand over a limited range of work to a dedicated agent, and call tools according to established permissions to assist in advancing multi-step research tasks. Research product tracing: View the input, code and execution records associated with reports, tables or graphics, and use the review function to locate missing evidence and content inconsistencies. Research project packaging: Export selected records into a.science package for review of results, task handover, or continuing existing research on another computer.

Open-Science is an open source AI scientific research workbench launched by AIPOCH. It is aimed at researchers who need to continuously check information, process data and organize results around the topic. It undertakes research tasks on a project basis, keeps the background of the problem relevant to subsequent work, and reduces repeated switching between chat tools, computing environments, and folders. The software is available in macOS, Windows and Linux desktop versions and can connect to different model services or compatible local models. Project data is stored on the local machine by default, and data may be sent out when calling external models, scientific research services, or remote computing power. It emphasizes that the research process can be checked, and the analysis conclusions still need to be verified by the researcher. Core function: Scientific research data retrieval: Connect literature and scientific research databases, allowing research tasks to call data sources in corresponding fields, and collect reference information for reviews and topic analysis. Code analysis and calculations: Run Python or R in the workspace, retain analysis status, and combine data processing, calculations, and charting in the same research task. Division of special tasks: Let the main agent hand over a limited range of work to a dedicated agent, and call tools according to established permissions to assist in advancing multi-step research tasks. Research product tracing: View the input, code and execution records associated with reports, tables or graphics, and use the review function to locate missing evidence and content inconsistencies. Research project packaging: Export selected records into a.science package for review of results, task handover, or continuing existing research on another computer.

Canonical: https://uniquebase.ai/products/open-science
Stable identifier: UB-D6517
Snapshot captured: 2026-11-04T00:48:01.362Z
English updated: 2026-11-04T01:06:52.125Z

## Connected profiles

- [Open-Science](/companies/open-science)

## Sources

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