Synthetic Sciences Ships OpenScience, an Open-Source AI Research Workbench With 250 Skills

A new open-source AI workbench runs the full research loop, from literature review to experiments to write-up, with any frontier model and your own keys.

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Synthetic Sciences Ships OpenScience, an Open-Source AI Research Workbench With 250 SkillsPRO
  • Synthetic Sciences released OpenScience, an Apache 2.0 AI workbench that runs the full research loop.
  • Install via npm install -g @synsci/openscience or npx synsci, then opens in browser.
  • Model-agnostic: works with Anthropic, OpenAI, Google, and open-weight models via your own keys.
  • Ships 250+ skills including DeepSpeed, PEFT, TRL, LaTeX, and cheminformatics tooling.
  • Direct connectors to UniProt, PDB, ChEMBL, PubChem, arXiv, OpenAlex, and ~30 more databases.
  • Bring-your-own-key is free; managed Atlas platform adds prepaid frontier models and cloud compute.

Synthetic Sciences has released OpenScience, an Apache 2.0 workbench for running AI-assisted research from a browser. Developers give an agent a research goal, then let it search literature, form hypotheses, write and execute code, query scientific databases, run experiments, and assemble results.

The project combines capabilities that usually require separate coding agents, database clients, model gateways, and scientific tools. It installs from npm, accepts API keys for multiple model providers, and stores sessions and artifacts locally. That integrated workflow is the project’s main appeal, although researchers still need to review methods, citations, code, and conclusions.

Inside the workbench

OpenScience runs as a browser workspace backed by a local server. It supports commercial and open-weight models from Anthropic, OpenAI, Google, and other providers, with no OpenScience account required for bring-your-own-key use.

Component What it provides
Agents A general research agent; biology, physics, and machine-learning specialists; critique and literature-review sub-agents; and a read-only planning mode.
Skills About 250 packaged workflows for model training, evaluation, datasets, biology, cheminformatics, paper production, figures, and cloud compute.
Data connectors Integrations with UniProt, PDB, Ensembl, ChEMBL, PubChem, arXiv, OpenAlex, Semantic Scholar, and dozens of other sources.

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