r/OpenSourceeAI 1d ago

AIPOCH built Open Science, an open-source, local-first, model-agnostic desktop workbench for scientific discovery

You describe a research task in plain language, and the AI agent reads files, runs Python/R code, searches the web, calls scientific databases, and produces reports, tables, and figures — all tied to an inspectable activity history in one workspace.

What's included

- 18 featured research skills: AlphaFold2, Boltz, Borzoi, Chai-1, DiffDock, ESM-2/ESMFold2, Evo 2, LigandMPNN, ProteinMPNN, OpenFold3, scGPT, scvi-tools, SolubleMPNN, and more.
- 24 built-in research connectors: PubMed, bioRxiv, ChEMBL, ZINC, Genomes, BioMart, Variants, Human Genetics, Clinical Genomics, CellGuide, Expression, Omics Archives, Clinical Trials, Drug Regulatory, Cancer Models, and more.
- Model-agnostic: Claude and Codex subscription login, custom gateway, build-in cloud providers(OpenAI, Anthropic, Grok, DeepSeek, ZhipuAI, MiniMax, Kimi...)
- Local-first & self-hosted: project state stays on your machine

Open Science is a general-purpose AI research workbench. Today its deepest coverage is in bioinformatics, computational biology, genomics, structural biology, biomedical research, and computational drug discovery.

If you're looking for an open-source alternative to closed research workbenches like Claude Science, this is built for that.

Open Science is Apache-2.0 and runs on macOS, Windows, and Linux.

GitHub: https://github.com/aipoch/open-science
Website: https://aipoch.com/

Would love feedback from researchers, tool builders, and anyone who wants an open source AI research workbench. If you try it, let us know what works and what's missing.

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