元空AI

元空AI Science is a browser-based research workbench built around an Agent that is meant to cARRy a study from question to written ouTPUt. Instead of stitching together a reference manager, a statistics package, a coding notebook and a word processor, researchers describe what they need in natural language and the platform routes the request to the APPropriate capability. The product is aimed squarely at academic and laboratory settings, where the bottleneck is often the coordination of many small technical steps rather than any single one of them.

What it does

The platfORM organizes its work into four connected areas. A literature module accepts a research question and returns relevant papers together with summaries and sIDE-by-side Comparisons. An analysis module takes uploaded datasets and runs processing, statistical tests, plotting and result checks from a plain-language instruction. A computing module turns a stated computational requirement into runnable analysis code, executes it, and returns the output. A writing module drAWS on the collected literature and results to draft outlines, SECtions and polished academic prose.

Key capabilities

• Science Agent: an orchestrating assistant that interprets a research request, plans the steps and calls specialized Skills as needed.
• literature search and comparison: topic-level retrieval with paper interpretation and cross-paper contrast, useful for quickly mapping a field.
• data analysis and plotting: single-instruction handling of tasks such as cell-type annotation, marker-gene heatmaps and pathway enrichment on uploaded data.
• Research computing: generation and execution of analysis code so that heavy computational work stays focused on the scientific question.
• long-term memory: retention of prior experiment states, parameter settings, ACTion histories and result context that can be retrieved later.
• Planning and verification: research strategies are planned and checked, with the aim of making each step transparent and reviewable.
• Built-in scientific skills: a library of domain-oriented capabilities invoked on demand.

Who it is for

The stated audience includes doctoral students, postdocs and group researchers at univeRSIties and institutes who want to speed up Literature Review, data work and manuscript preparation. It also targets biomedical and life-science teams working with single-cell or omics data, computationally intensive materials and chemistry groups that need heavier processing, and lab managers who want to track experiment status and data flow across a project.

How to get started

1. Open the official site in a desktop browser and create an account if registration is offered.
2. Pick a starting point: pose a literature question, upload a dataset, or describe a computational task.
3. Review the agent's plan before execution, then inspect the returned summaries, charts or code output.
4. Carry the accumulated material into the writing workspace to build an outline and draft.

Pricing and access caveat

The interface is presented in Chinese, so non-Chinese-speaking researchers should expect a language barrier. Plan tiers, credit allowances and any usage liMITs are not clearly documented in the source material and may vary over time; check the official site for current terms before committing a lab workflow to the platform. Because outputs are model-generated, results, citations and code should always be validated by a qualified researcher.