aipoch/open-science
The open-source AI research workbench for scientific research and agent workflows. Local-first, model-agnostic desktop app with extensible skills, MCP tools and connectors, Python/R execution and traceable artifacts for reproducible research on macOS, Windows and Linux. observed · 2026-10-21
Health v2 · maintenance only
77/100
- Activity 100
- Release rhythm 88
- Longevity 7
Flags: young
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.
- gap_med: 1.0
- age_days: 110
- days_rel: 0
- days_push: 0
- n_releases_24m: 75
Adoption not part of the score
5303 stars · 525 forks observed · 2026-10-21
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
Open Science is an open-source, local-first, model-agnostic AI research workbench for reproducible scientific research. It combines a coordinator agent with specialist sub-agents and a reviewer, Python/R notebook execution, scientific data connectors, and traceable provenance in a single cross-platform desktop workspace.
Use cases
- run an AI research assistant locally for reproducible scientific analysis
- automate literature review and hypothesis development with AI agents
- execute Python and R code in an AI-driven research workspace
- produce reports, tables, and figures with traceable provenance
- query scientific data sources from a unified workbench
- self-host an inspectable alternative to subscription AI research tools
- run data analysis and simulation across life sciences, chemistry, and physics
When to choose
- you need reproducible, inspectable AI-assisted research with full provenance tracking
- you want a local-first, self-hosted workbench that works with any model provider
- you need Python and R execution plus scientific data connectors in one workspace
- you want an open-source alternative to fragmented research tooling
When to avoid
- you need a lightweight CLI or library to embed in your own pipeline
- you require a fully hosted, zero-setup SaaS experience
- you need production-grade support or a long track record, as the project is young (v0.20.x)
Facets
application · maturity active
agent-framework llm-inference rag data-science data-visualization mcp chat-interface developer-tools artificial-intelligence data-science education self-hosted cross-platform windows cross-platform self-hosted local-first reproducible-research scientific-research model-agnostic research-workbench ai-agents provenance notebook-runtimes open-science research science macos linux desktop typescript
5 sources
- readme: https://github.com/aipoch/open-science · fetched 2026-10-21 · abea6bdaa3e8
- homepage: https://aipoch.com/open-science · fetched 2026-08-29 · d84abd308c51
- site_page: https://aipoch.com/guides · fetched 2026-08-29 · 49696ec4cc57
- site_page: https://aipoch.com/docs · fetched 2026-08-29 · 4fe5845f770c
- site_page: https://aipoch.com/agent-skills · fetched 2026-08-29 · bf21bdaf9190
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| aipoch/open-science | main | 77 |
For agents
markdown · JSON · MCP: product_card(name="aipoch/open-science")
Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem