// productivity · aipoch/open-science

open-science

open-science es un proyecto de productividad de código abierto de aipoch (aipoch/open-science en GitHub). Tiene 5.499 estrellas en GitHub y 510 bifurcaciones, se publica bajo la licencia Apache-2.0 y se actualizó por última vez en GitHub el 8 de octubre de 2026.

A local-first, model-agnostic AI research workbench for reproducible scientific work.

★ 5,5k estrellas⑂ 510 bifurcacionesApache-2.0actualizado oct 2026

Ver en GitHub ↗Official site ↗

▦ visual: el README de este proyecto no incluye ninguna captura incrustable,
así que aquí va un marcador. La guía de abajo está completa de todos modos.

// datos del proyecto

Datos del proyecto

Repositorio: aipoch/open-science
Estrellas en GitHub: 5.499
Bifurcaciones: 510
Licencia: Apache-2.0
Última actualización en GitHub: 8 de octubre de 2026
Categoría: Productividad
Tipo de ficha: Guía de instalación completa
Sitio oficial: Official site

// cómo funciona

Cómo funciona

Clarify your research task
Define the question and the evidence standard — for example, a systematic review with traceable sources.
Install the app
Install via Homebrew on macOS, download a desktop build, or clone the repo to run from source.
Complete first-time setup
Connect your model provider (the app is model-agnostic) and configure any Python/R environments and connectors.
Run your first project
Create a project, run a task with a skill such as literature-review, and review the report with its evidence trail.

// características

Por qué gusta tanto

Traceable artifacts

Every report, table and figure can be traced back to its evidence, supporting reproducible research.

Extensible skills and MCP

Ships agent skills (for example literature review) and supports MCP tools and connectors to extend the workbench.

Python and R execution

Runs analysis code in app-managed or user-configured Python/R environments as part of a research task.

Model-agnostic and local-first

Works with the model provider you choose while projects and artifacts stay on your machine.

Research packages

Work can be packaged as .science research packages for sharing and revisiting complete, evidenced results.

Headless CLI and SDK

A CLI can initialize a profile, create projects, run tasks with approval profiles and download artifacts — no GUI required.

// ejecútalo

Ejecútalo tú mismo

Clone the repository
Clone Open Science if you want to run from source; macOS users can instead brew install --cask open-science.
```
git clone https://github.com/aipoch/open-science.git
cd open-science
```
Install and run
Install dependencies and start the desktop app in development mode.
```
npm install
npm run dev
```

Or drive it headlessly

Initialize the CLI profile, create a project and run a task with a skill.

open-science init
open-science start --no-open
open-science run --project "Systematic review" --prompt-file ./task.md --skill literature-review --wait --json

// casos de uso

Qué puedes crear

Running a systematic literature review with a fully traceable evidence trail
Producing a data-analysis report where every figure links back to its source data
Giving a bioinformatics team one workbench for agent-assisted research
Automating recurring research tasks headlessly through the CLI

// preguntas frecuentes

Preguntas frecuentes

Who maintains Open Science?

Open Science is maintained by aipoch, with the product page at aipoch.com/open-science.

Is it free?

Yes — it is open source under the Apache-2.0 license. You pay for the model provider you connect.

Does it need a paid API key?

It is model-agnostic: you connect a model provider of your choice, so you need an account or key for that provider (or a compatible local endpoint).

How does it compare to a general chat assistant for research?

Chat assistants produce unverifiable text; Open Science executes inspectable tools, keeps artifacts, and traces every result back to evidence inside a local-first workbench.

How do I get started?

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Consigue open-science

Gratis y abierto: consigue el código fuente, dale una estrella al repositorio y empieza a crear.

Ver en GitHub ↗← Más herramientas de Productividad