Vibe Coding Discoveropen-science
View on GitHubAIPOCH Open-Science is an open-source, local-first, model-agnostic AI research workbench for macOS, Windows, and Linux, with scientific agents, Python/R notebooks, data connectors, and reproducible provenance.
Open-source, local-first desktop AI research workbench where scientific agents combine MCP tools, permissioned data connectors, and Python/R notebooks to produce reproducible, provenance-tracked reports, tables, and figures. Model-agnostic across providers; ships for macOS, Windows, and Linux.
Use Cases
Reproduce published analyses and compare outputsRun Python/R notebooks with agent-generated codeQuery scientific data connectors (Ensembl, VEP, Reactome, UCSC, gnomAD)Literature review via PubMed importsGenerate reports, tables, and figures with provenanceTrace artifacts to producing code and environmentBioinformatics differential-expression analysisHypothesis development and data analysis across disciplinesModel-agnostic multi-provider LLM research workflowsHuman-in-the-loop approval of agent tool use
Built With
- Language
- TypeScript
- Frameworks
- Electron · TypeScript · Python · R · MCP · Playwright · Vitest · Prisma
Tags
scientific-agents · local-first · model-agnostic · reproducible-research · mcp · electron · desktop-app · research-workbench · python · r · notebooks · data-connectors · provenance · bioinformatics · human-in-the-loop · skills