tsingyuai/scientify
Some data may be outdated — see provenance labels.
Automatic and end-to-end scientific research workflow. Produces state-of-the-art level research results. observed · 2026-10-01
Health v2 · maintenance only
71/100
- Activity 93
- Release rhythm 74
- Longevity 18
Flags: no_license
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: 0.0
- age_days: 258
- days_rel: 173
- days_push: 42
- n_releases_24m: 41
Adoption not part of the score
2244 stars · 190 forks observed · 2026-10-01
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
Scientify is an OpenClaw plugin that automates end-to-end scientific research workflows, continuously ingesting new papers, evolving hypotheses in a persistent knowledge base, and running multi-agent research loops that can produce SOTA-level results. It is distributed as an npm package written in TypeScript.
Use cases
- automate literature review from arxiv
- generate and evolve research hypotheses continuously
- run autonomous end-to-end research pipelines
- get proactive push notifications of new research findings
- build a persistent research knowledge base
- discover and validate new algorithms automatically
When to choose
- you want continuous, long-running AI research assistance rather than one-shot answers
- you need automated literature monitoring and hypothesis generation
- you already use OpenClaw and want research workflow skills
- you want multi-agent autonomous experimentation with accumulated context
When to avoid
- you need a simple one-shot question-answering tool
- you require a non-MIT or fully audited license situation (repo shows no license file despite npm metadata)
- you don't use OpenClaw or want a standalone GUI application
- your research domain requires lab/physical experiments the agents cannot perform
Facets
plugin · maturity active
agent-framework rag llm-inference workflow-automation web-scraping artificial-intelligence large-language-models cli cross-platform openclaw-plugin scientific-research hypothesis-generation literature-review arxiv knowledge-metabolism autonomous-research multi-agent ai-agents research automation natural-language-processing nodejs
2 sources
- readme: https://github.com/tsingyuai/scientify · fetched 2026-10-01 · d06a8504b46d
- registry_npm: https://registry.npmjs.org/scientify · fetched 2026-08-29 · c6bc8f8ab849
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| tsingyuai/scientify | main | 71 |
For agents
markdown · JSON · MCP: product_card(name="tsingyuai/scientify")
Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem