AIPOCH Open-Science: what gets lost when you share research?

Hi everyone! I'm Bobo, an AI researcher and developer at AIPOCH. We're bringing AIPOCH Open-Science to Product Hunt, and I'd love some feedback before launch.

Open-Science is an open-source AI research workbench that brings papers, data, AI agents, and Python/R execution into one workspace. It includes 23 built-in Skills, 37 scientific connectors, and 25 preset model-provider options, with support for compatible local models and custom gateways.

One question has been central to our work: when you share a research result, how much of the process can someone else actually follow?

You might send a figure, a notebook, or a report—but the questions, intermediate attempts, and decisions often stay scattered across tools.

We're addressing this with .science packages. They can carry selected conversation branches, file versions, Notebook records, and verification evidence to another project or computer. The recipient can inspect the read-only history, then create a writable copy to explore further.

Opening a package doesn't execute code or restore credentials, and recorded checks don't mean the recipient has rerun the analysis.

I'd love to hear from researchers and people building scientific tools:

• What context do you most often lose when handing work to a colleague?

• What would you need to inspect before building on someone else's analysis?

• Would you use this more for collaboration, teaching, or archiving?

Product and download: https://aipoch.com/open-science

Source code: https://github.com/aipoch/open-science

Concrete examples from your own workflow would be especially helpful. Thanks!