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open-science

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Open-source, local-first, model-agnostic AI research workbench for reproducible science. Works on macOS, Windows, and Linux.

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v0.26.0 · 248.9 MB

An open-source, local-first AI research workbench that makes science reproducible and model-agnostic.

Core Features

  • Local-first storage for data and artifacts, keeping research private
  • Model-agnostic design with support for Claude, Codex, OpenCode, and more
  • Built-in Python/R notebook execution with optional remote HPC computing
  • Scientific data connectors plus web and file search from a single agent
  • Full provenance tracking for reproducible and inspectable outputs

What It Can't Do

  • •An active AI model connection (API key or subscription) is required for agent functionality
  • •On macOS/Windows, the app may show an unidentified-developer warning; only install builds from the official release page
  • •Large research data and environments consume significant disk space — plan storage accordingly
  • •Notebook execution is optional; you can skip if you don't need Python/R analytics

Use Cases

  • Computational research and data analysis across STEM disciplines
  • Teams that need traceable evidence behind every generated result

AIPOCH Open Science is an open-source, local-first, and model-agnostic AI research workbench for scientists and researchers. It enables reproducible, inspectable research with scientific AI agents, Python/R execution, scientific data connectors, and support for macOS, Windows, and Linux. Unlike cloud-based tools such as ChatGPT or Jupyter, Open Science keeps data local and provides granular provenance tracking, so every result is backed by evidence. Its built-in agent runtime works with Claude, Codex, OpenCode, and other providers, allowing you to describe a research goal in plain language and generate reports, tables, and figures with traceable provenance. It is especially strong in computational and data-intensive fields such as machine learning, life sciences, chemistry, and physics.

Tags

AI工作台科学计算本地优先可复现研究开源

Getting Started

1

Download installer

Click the button above to download the installer for your system

2

Install the software

Install the appropriate package for your distro (dpkg / rpm / AppImage)

3

Download the installer for your platform from GitHub Releases and double-click to run

4

Complete the guided first-run setup (environment, data location, agent runtime, model provider)

5

Create a project, describe your goal, pick a model, and start your research session

Install Guide
  1. Download the installer for your platform from GitHub Releases and double-click to run
  2. Complete the guided first-run setup (environment, data location, agent runtime, model provider)
  3. Create a project, describe your goal, pick a model, and start your research session
File Integrity

SHA-256 checksum verified

Checksum extracted from GitHub official Release page

SHA256 Checksum

15373bd6069bc2516e8fdb877c8199e4932a2f2684bbfa533f85df6d5f3a7548

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Open Source Transparency

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Environment Guide

Uninstall Info

Uninstall Open Science through your operating system's standard app removal process (drag to Trash on macOS, Add or Remove Programs on Windows, or your package manager on Linux). You may also delete the data folder (typically under your user directory) to fully remove project files.

No Extra Dependencies

Ready to use after download. No additional runtime required.

Project Info
LicenseApache-2.0
Last Updated2026-10-28 21:52:01
GitHub RepositoryOfficial Website

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