aipoch_ai 开源 Open-Science：把 AI 辅助科研做成可追溯的单文件记录
开源桌面应用 Open-Science，让 AI 帮你跑科研代码，还能把数据、代码、结论打包成一个可核查的 .science 文件。
aipoch_ai 发布 Apache-2.0 开源桌面应用 Open-Science，GitHub 已有 4.8K stars。AI 智能体在其中读论文、从科学数据库取数、写并运行 Python 或 R 代码，每个结果记录输入数据、代码、软件环境和运行历史，整个会话导出为一个 .science 文件。官方示例核查了 20 篇 AI 写的数学论文中的 100 条引用，机器比对匹配 80 条，加上研究者批注后为 88 匹配、7 小误、5 未决。应用本身不绑定模型，可用云厂商、自定义网关或 Claude、Codex 订阅，代码执行需人工批准，内置 AlphaFold2 等科学技能。
An Apache-2.0 app with 4.8K GitHub stars is trying to make AI-assisted science as traceable as checksummed, versioned code.
@aipoch_ai’s Open-Science is a free, open-source desktop app where an AI agent reads papers, pulls data from science databases, writes and runs Python or R code, and saves the charts and reports, all in a single workspace on your computer.
Research is usually split across PDFs, spreadsheets, code editors and terminals, so results lose their link to the data and code behind them.
Open-Science keeps that link: every result records its input data, code, software setup and run history, and the whole session exports as a single .science file that holds the conversation, the chosen files and the evidence, minus your API keys.
A public example shows it in action: in “AI Math Citations: Do They Check Out”, the session took 5 references from each of 20 AI-written math papers and checked whether each points to a real publication.
A direct check against publication records matched 80 of the 100 and found none to be fake, and after notes the researcher added, the final count was 88 matches, 7 small slips like an online date versus a print year, and 5 unresolved.
Because the .science record keeps those 2 evidence sources apart, anyone opening it can see which verdicts rest on human notes, including all 6 positive verdicts in a smaller test of whether cited papers really back 10 specific claims.
It is model-agnostic, so it works with whichever AI model you choose (cloud providers, custom gateways, or a Claude or Codex subscription), and local-first, so projects stay on your machine by default.
The agent runs code only after you approve it, and it ships with science skills like AlphaFold2 (predicts a protein’s 3D shape) that you can extend with your own.
It is Apache 2.0 licensed and runs on macOS, Windows and Linux. 🧵1/n
