Ross ROSS = Recommend OSS · open-source software intelligence for agents

synthetic-sciences/openscience

The open-source AI workbench for scientific research observed · 2026-08-28

github.com/synthetic-sciences/openscience · homepage · TypeScript · Apache-2.0 (permissive) observed · 2026-08-28

Health v2 · maintenance only

80/100

  • Activity 99
  • Release rhythm 99
  • Longevity 4

Flags: young

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: 0
  • age_days: 61
  • days_rel: 7
  • days_push: 7
  • n_releases_24m: 46

Full methodology

Adoption not part of the score

3342 stars · 452 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

OpenScience is an open-source AI workbench for scientific research that runs the full research loop: literature review, hypothesis formation, code writing and execution, experiments, and write-up. It provides a browser-based workspace with an adaptive research agent, 311 bundled domain skills, and direct access to major scientific databases like UniProt, PDB, and arXiv.

Use cases

  • automate literature review for a research topic
  • run machine learning experiments from a natural language goal
  • query scientific databases like UniProt and arXiv via an AI agent
  • write and execute analysis code for biology or chemistry research
  • generate research write-ups and LaTeX papers automatically
  • fine-tune and evaluate models with DeepSpeed, PEFT, or TRL
  • manage a research workspace with files, terminal, and session history

When to choose

  • you want an AI collaborator to run end-to-end scientific research workflows
  • you need model-agnostic tooling that works with frontier, open-weight, or local models
  • you work in ML, biology, physics, or chemistry and want integrated domain skills and database access
  • you prefer open-source tools with an extensible plugin and MCP ecosystem

When to avoid

  • you need a fully offline tool with no account linking
  • you only want a simple chatbot without code execution or experiment running
  • your research domain lacks bundled skills and requires heavy customization
  • you require guaranteed reproducibility of agent-driven experiments

Facets

application · maturity active

agent-framework llm-inference rag machine-learning developer-tools cli chat-interface artificial-intelligence large-language-models data-science developer-tools bun browser cli cross-platform ai-workbench scientific-research co-scientist literature-review hypothesis-testing scientific-databases research-automation model-agnostic typescript-sdk mcp ai-agents research nodejs

2 sources

Member repositories

RepositoryRoleHealth v2
synthetic-sciences/opensciencemain80

For agents

markdown · JSON · MCP: product_card(name="synthetic-sciences/openscience")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem