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AIPOCH Open-Science

AI research workbench for scientists

WHO USES ITComputational researchers in bioinformatics, statistics, chemistry · Labs held to reproducibility standards · Teams on Slurm clusters

Install to use

Local-first AI research workbench: agents run Python/R, every result keeps provenance

★ 4.2k▲ +26 / 7dDaily star increases over 14 days. Hollow bars mean no data. The last day may be partial.2026-09-03 no data2026-09-04 +52026-09-05 +182026-09-06 +1122026-09-07 +202026-09-08 no data2026-09-09 no data2026-09-10 no data2026-09-11 +22026-09-12 no data2026-09-13 +212026-09-14 no data2026-09-15 no data2026-09-16 +3largest one-day increase in the 14 days+112last 14 days · stars per dayhollow = no data

4,196 stars · checked on GitHub GitHub check 30 h late · incl. +3 observed via GH Archive since then · 7-day +26 observed via GH Archive (as of )

RANKS SCIENCE #2

BACK CATALOG

The AIPOCH Open-Science workspace: project and session list on the left, agent conversation and tool activity in the centre, generated tables and figures with the Provenance panel on the right
The AIPOCH Open-Science workspace: project and session list on the left, agent conversation and tool activity in the centre, generated tables and figures with the Provenance panel on the right
The AIPOCH Open-Science workspace: project and session list on the left, agent conversation and tool activity in the centre, generated tables and figures with the Provenance panel on the right
The AIPOCH Open-Science workspace: project and session list on the left, agent conversation and tool activity in the centre, generated tables and figures with the Provenance panel on the right

TESIGN TAKE

Its focus is recording where each result came from, with versions and replay verification — while model costs stay separate and prompts plus attached context still go to whichever provider you pick.

INSTALL

AT A GLANCE

LICENSE
Apache-2.0
USAGE
Commercial use, redistribution OK. Keep notices; mark changes.
LANGUAGE
TypeScript
PLATFORM
macos · windows · linux · cli
ACTIVITY
last commit 1 day ago () · latest release v0.30.0 () · 57 releases
COMMUNITY
17 contributors · 43 open issues (incl. PRs) · made by: an organization
SOURCES
GitHub
OPEN SOURCE
YES
FIRST SEEN
CATEGORY
SCIENCE · AI

A summary, not legal advice.

WHY IT MATTERS

It gathers research AI work that usually scatters across chat windows, notebooks, scripts and reporting tools into one desktop app. A five-step first run installs Claude Code, OpenCode, Codex or CodeBuddy as the agent runtime (no Node.js or admin password needed) and connects a model via a built-in cloud provider, a custom gateway or a Claude/Codex subscription login. It includes Python and R kernels, literature search across Europe PMC, OpenAlex and arXiv, 24 built-in data connectors and 22 featured skills, and every generated table or figure is kept as an immutable version with checksums, execution history and inputs that can be replayed in an isolated environment for verification. An Electron app for macOS, Windows and Linux; v0.29.0 (2026-09-13), Apache-2.0.

BUILD FROM THIS

  • The headless CLI and Node.js SDK share the desktop's local daemon, projects and permissions, so you could build an unattended pipeline that re-analyses a fixed dataset on a schedule and emits a report with verification records. Custom MCP connectors can bring in an in-house database.

WHO IT'S FOR

Computational researchers in bioinformatics, statistics, chemistry
agents run code, search literature, produce tables and figures
Labs held to reproducibility standards
artifact versions, checksums and replay verification records
Teams on Slurm clusters
notebook runs submitted over SSH

START IN 5 MINUTES

# brew install --cask open-science   # macOS
# # Windows x64 installer and Linux x64 AppImage/.deb are under Assets on the latest GitHub release
# # First run, five steps: Environment → Data location → Agent runtime (Claude Code/OpenCode/Codex/CodeBuddy) → Model provider connection test → Notebook runtime (optional)
# # New project → describe goal, input data and how to check the result in a session → run, then open the Provenance view

CAVEATS

  • Apache-2.0 — the software is free with no seat licence (homepage), and the homepage states it is not affiliated with Anthropic
  • Model usage is billed separately: built-in cloud providers and custom gateways need your own API key, or reuse a Claude/Codex subscription login; prompts and attached context are sent to the provider you choose
  • Electron desktop app, v0.29.0 (2026-09-13) — the README says provider lists, catalogs and UI change between versions; the #1 BiomniBench-DA Public 50 claim is the project's own report

RECEIPT

FIRST SEEN
AT SOURCE
KEPT
STAR DELTA
+3 ★ / 24h
CREATED → FIRST SEEN
72d
SOURCES
GitHub
◌ BACK CATALOG
Reconstructed from archive data, not a live discovery.

The same facts in machine-readable form — View as Markdown · JSON

SIMILAR TOOLS

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The AIPOCH Open-Science workspace: project and session list on the left, agent conversation and tool activity in the centre, generated tables and figures with the Provenance panel on the right
AIPOCH Open-ScienceAI research workbench for scientistsTHIS ENTRY★ 4.2k▲ +26Apache-2.0permissivemacos · windows · linux · cli
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TIMELINE

  1. Repository created
  2. FIRST SEEN BY TESIGN ◌ BACK CATALOG