Launching today
ClawsGO Science
The AI research agent with its own cloud lab
50 followers
The AI research agent with its own cloud lab
50 followers
Research, fully automated. ClawsGO Science takes a question to discovery and writes it up as a cited paper. Its cloud lab has 500+ tools and 90+ datasets. Its long-horizon harness runs clusters of Claude and GPT agents for days. The next paradigm for science.
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Framer AI AgentsDesign and publish professional sites with AI
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Hey Product Hunt 👋 I'm Annactswell, founder of ClawsGO Science.
We think the next paradigm for science is a lab that never closes: agents that take a question, run the experiments and write the paper while you sleep. To get there, an agent needs more than a model. It needs a lab.
Our team used Claude Code and Codex for research every day. They're great at code. But research isn't a repo. Ask one whether two gut bacteria cause depression, and it spends the first hour installing Mendelian randomisation packages and hunting for GWAS data. It runs on one vendor's models. And at the end, you get a diff, not a paper.
So we built the lab first. ClawsGO Science gives every task an always-on cloud workstation with terabytes of science software and data already installed. Claude and GPT agents work side by side for days, check their own work, then hand back a cited, compiled paper.
That gut bacteria question is in our gallery. ClawsGO came back with a 24-page paper: 17 figures, 10 tables, 59 references. See the full run: https://clawsgo.ai
🧪 A lab that's already set up
• 500+ tools and 90+ reference datasets across 12 fields, from GATK and GROMACS to Quantum ESPRESSO and QGIS
• An always-on workstation that keeps your files between tasks, with a full Linux desktop for GUI tools like Fiji
• Every search, command and file edit on record. Replay the whole run any time
🧭 Claude and GPT, working for days
• A harness built for long-horizon research keeps one task on track from question to paper
• Cluster mode: a lead agent splits the job and hands each part to the model that does it best
• Self-review: before you see the paper, it rereads the draft against the sources and the code, and fixes what it finds
📄 Ends with a cited paper
• A LaTeX workbench with source and PDF side by side, compiled in the cloud
• Figures you can mark up: circle what's wrong, ask for a fix, keep every version
📱 On every device: web, macOS, Windows, iOS and Android.
Who it's for: researchers whose work runs on code, tools and data, from genomes to galaxies. If you already use Claude Code or Codex for research, think of ClawsGO Science as the lab behind the agent.
Try it free at clawsgo.ai. You start with 1,500 credits, no card needed.
Three questions for you: what's the first research question you'd hand it? If you use Claude Code or Codex for research today, where does it get stuck? And which tool or dataset should be in the lab?
Thanks for checking us out. We're here all day and will answer every comment 🙏
Congrats team!! The research lab angle makes this feel more practical than a general chat tool.
@itscassiew Thanks so much! A chat tool can explain a method. ClawsGO runs it. 500+ tools and 90+ datasets are already on the workstation, so the agent goes straight to the analysis. What question would you hand it first?
Congrats!
@arthur_winston3 Thank you! Means a lot on launch day. We're here all day if you have questions.
This looks promising! Curious — how long does a simple first run usually take?
The preloaded lab is the part that caught my eye. Most agents I've tried stall on setup before doing anything. How much setup does a typical first run still need?
@sarasolomaker For most first runs, none. Sign up, type your question, and the agent starts on a workstation where the tools and reference data are already installed. The only thing you might add is your own data. Drop the files into the task. Ready on minute one.
A cited paper at the end instead of a chat answer is a strong output format. How can researchers check which tool or dataset each claim came from?