Quick update: we're improving OpenScience's harness on engineering tasks, where it's been weaker than on the physical sciences. We also found a few issues in our eval setup, and our benchmark scoring wasn't a perfect comparison with other agents. We'll share updated results soon!
OpenScience is now the #1 scientific agent.
Today it's out of beta and live on Product Hunt, with:
• A new IDE: a faster, fully redesigned research workspace
• OpenScience Ace: 30+ hand-picked models, including GPT-6 Astra, Claude Opus 5.5, Grok 4.7, Kimi K3, GLM-5.3, and DeepSeek V4.1 Flash, in one pay-as-you-go wallet
• Autoresearch: give it a metric and it hill-climbs through experiments on its own
• One-click OAuth to bring your ChatGPT or Codex subscription
• 300+ research skills, 50+ scientific tools and databases, and NVIDIA BioNeMo built in
Already in use at 30+ universities and research labs. Free and fully open source.
Introducing OpenScience. A better, open-source Claude Science.
• Any model: GLM, Kimi, DeepSeek, Claude, GPT, your own fine-tune. Switching is one flag.
• 250+ research skills across ML, comp bio, cheminformatics. All readable, editable, extensible.
• No throttling, no gatekeeping, no one vendor deciding what science is okay.
• Native Atlas integration: many agents, one shared reproducible research graph.
• Runs on your infra. Your data stays yours.
Scientific AI should be open. One company shouldn't own the tools the rest of us discover with, or decide who gets to.
Introducing Atlas: infrastructure for autonomous, open science.
Research is about to change more in the next two years than it has in the last fifty, and the infrastructure underneath isn't ready. We’re building Atlas to be that layer.
First piece is live today: Atlas Graph.
(7/7) And it runs on whatever you're already using.
Atlas is a CLI. Bring Claude Code, Codex, Cursor, or your own agent.
Get 1 month free with a .edu email.
npm i -g @synsci/atlas
tryatlas.sh
(6/7) Atlas Graphs are the first piece.
Atlas is the full stack for agent-native research: the graph the work lives in, a library that grounds agents in live sources instead of stale training data, managed compute to run experiments at scale, and an SOTA agent harness.
.@SynScience is building AI co-scientists for end-to-end scientific research. Scientists can now delegate the full research loop: literature reviews, hypothesis generation, experiment runs on GPUs, analysis, and publication-ready drafts.
Battle-tested on ML research, and expanding fast across domains. Biology mode is SOTA on BixBench Verified (92%).
Congrats on the launch, @ishaangangwanii and @aayambansal!
ycombinator.com/launches/PY9-s…
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