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Marinka Zitnik@marinkazitnik·17h

A striking example of collaborative AI for science: 15 long-running AI agents working on a research problem, exchanging ideas and results on a shared research board over 48 hours No coordinator. Just iterative critique, revision, and experimentation 👇

With ClawInstitue, we let 15 AI agents work on @karpathy's autoresearch challenge to see what happens when they collaborate on a research problem instead of working alone. 574+ edits to one shared research board over 48 hours. No coordinator. They wrote their own rules, published every dead end instantly, reorganized after one agent posted a critique, and turned arxiv papers into experiments. This video shows every revision. The experiment is still running (now they start scaling up the training budget): clawinstitute.aiscientist.tools/w/autoresearch Work with the team: @AdaFang_ @marinkazitnik @HarvardDBMI @harvardmed @KempnerInst @ScientistTools #autoresearch Check the video:

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Shanghua Gao@GaoShanghua·20h

With ClawInstitue, we let 15 AI agents work on @karpathy's autoresearch challenge to see what happens when they collaborate on a research problem instead of working alone. 574+ edits to one shared research board over 48 hours. No coordinator. They wrote their own rules, published every dead end instantly, reorganized after one agent posted a critique, and turned arxiv papers into experiments. This video shows every revision. The experiment is still running (now they start scaling up the training budget): clawinstitute.aiscientist.tools/w/autoresearch Work with the team: @AdaFang_ @marinkazitnik @HarvardDBMI @harvardmed @KempnerInst @ScientistTools #autoresearch Check the video:

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Ada Fang@AdaFang_·20h

Pretty cool to see what happens when you put together a team of AI agents to work on a shared objective. Now imagine if we gave them a lab and they all worked together to do science.

With ClawInstitue, we let 15 AI agents work on @karpathy's autoresearch challenge to see what happens when they collaborate on a research problem instead of working alone. 574+ edits to one shared research board over 48 hours. No coordinator. They wrote their own rules, published every dead end instantly, reorganized after one agent posted a critique, and turned arxiv papers into experiments. This video shows every revision. The experiment is still running (now they start scaling up the training budget): clawinstitute.aiscientist.tools/w/autoresearch Work with the team: @AdaFang_ @marinkazitnik @HarvardDBMI @harvardmed @KempnerInst @ScientistTools #autoresearch Check the video:

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Scientific discovery rarely occurs in isolation. Progress emerges from communities of researchers who exchange ideas, critique results, debate interpretations, and refine hypotheses through iterative discussion. We built ClawInstitute, an AI scientist research network for AI agents to collaborate, discuss research, iterate, and make breakthroughs. The team: @GaoShanghua @marinkazitnik Learn more about it below 👇 @HarvardDBMI @harvardmed @KempnerInst @ScientistTools

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Ada Fang@AdaFang_·2d

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Ada Fang@AdaFang_·3d

Scientific discovery rarely occurs in isolation. Progress emerges from communities of researchers who exchange ideas, critique results, debate interpretations, and refine hypotheses through iterative discussion. We built ClawInstitute, an AI scientist research network for AI agents to collaborate, discuss research, iterate, and make breakthroughs. The team: @GaoShanghua @marinkazitnik Learn more about it below 👇 @HarvardDBMI @harvardmed @KempnerInst @ScientistTools

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Marinka Zitnik@marinkazitnik·3d

ClawInstitute: A Research Exchange for AI Scientists, clawinstitute.aiscientist.tools with @GaoShanghua @AdaFang_ Scientific progress advances through conversation and experimentation: ideas are challenged, tested against evidence, and improved through repeated exchange ClawInstitute brings this process to AI scientists by giving agents a shared space to publish ideas, challenge claims, and build on one another's work These early interactions point to a new mode of discovery in which societies of AI scientists participate in discovery loops alongside human researchers These agents are powered by ToolUniverse @ScientistTools, they are not just chatbots searching the internet. Agents design experiments, analyze experimental data, and use scientific tools to test competing explanations Blog: clawinstitute.aiscientist.tools/blog @HarvardDBMI @harvardmed @KempnerInst @harvardMed @BroadInstitute Learn more about it below 👇

Ada Fang@AdaFang_

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Scientific discovery rarely occurs in isolation. Progress emerges from communities of researchers who exchange ideas, critique results, debate interpretations, and refine hypotheses through iterative discussion. We built ClawInstitute, an AI scientist research network for AI agents to collaborate, discuss research, iterate, and make breakthroughs. The team: @GaoShanghua @marinkazitnik Learn more about it below 👇 @HarvardDBMI @harvardmed @KempnerInst @ScientistTools

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AI Scientists powered by ToolUniverse @ Harvard@ScientistTools·3d

ToolUniverse is built on the idea that powerful agents need open environments to think, act, collaborate, and improve together. ClawInstitute is part of that vision: a research exchange for AI scientists with access to scientific tools in ToolUniverse, so they don’t just discuss science — they do science. Check the blog: clawinstitute.aiscientist.tools/blog Proud of the team behind this: @GaoShanghua @AdaFang_ @marinkazitnik

Ada Fang@AdaFang_

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AI Scientists powered by ToolUniverse @ Harvard@ScientistTools·6 Mar

With the ToolUniverse (TU) CLI, there’s no need to set up an MCP server—agents can instantly access tools with a single command. Paste this to your AI agent to use it now! "Read aiscientist.tools/setup.md and update to the latest ToolUniverse. I want to use the tu CLI."

CLIs are emerging as a powerful interface for AI agents. Just as Google launched GWS for Workspace, we launched ToolUniverse TU CLI for science. 2,000+ life science tools behind a single CLI, giving AI agents a unified interface to discover and use scientific resources. Try it! paste this into your AI agent: "Read aiscientist.tools/setup.md and update to the latest ToolUniverse. I want to use the tu CLI." Free. Open source. 🔗 github.com/mims-harvard/T… zitniklab.hms.harvard.edu/ToolUniverse/g… #CLI #Science #TU #GoogleWorkspaceCLI #Agent #Codex #ClaudeCode #GeminiCLI

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AI Scientists powered by ToolUniverse @ Harvard@ScientistTools·24 Şub

Tell your agent: "Read aiscientist.tools/setup.md and setup tooluniverse for me." Once it’s ready, ToolUniverse can assist you with your research!

ToolUniverse setup just became AI-agent native! Instead of following installation steps, just tell your agent (Claude Code, Codex, OpenClaw, OpenCode, etc.): "Read aiscientist.tools/setup.md and setup tooluniverse for me." Minutes later, your agent has full access to 1700+ life science tools and skills for search, analysis, and research workflows. #openclaw #codex #CluadeCode #Opencode

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Reza Shamji@Reza_Shamji·23 Şub

What if you could search all your research files with AI? ToolUniverse makes it real. Ask questions. Answers grounded in YOUR data. 🔍 Share your tool globally + use other scientists' tools! Collaborative science 🌍 Watch the demo 👇 youtube.com/watch?v=Rnkl01… @ScientistTools

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Reza Shamji@Reza_Shamji·23 Şub

🇪🇺 EUHealth Tools now in ToolUniverse: Search hundreds of EU public health datasets by topic (disease surveillance, mortality, vaccination…) 🎯 Filter by country/language Watch the demo 👇 youtube.com/watch?v=Qor3tr… @ScientistTools #ToolUniverse #AIAgents

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AI Scientists powered by ToolUniverse @ Harvard@ScientistTools·20 Şub

After installation, run /setup-tooluniverse to configure it in common IDEs and agent systems. Then use /tooluniverse to launch the skill and do your reserach!

AI Scientists powered by ToolUniverse @ Harvard tweet media

ToolUniverse now hosts 1600+ life science tools🧬, and we’re already seeing powerful combinatorial effects emerging from this ecosystem. To fully unlock their potential, we’re launching ✨ToolUniverse Skills✨, designed to guide agents in effectively leveraging these tools to solve complex scientific problems. With just: npx skills add mims-harvard/ToolUniverse you can install ToolUniverse Skills into agent systems like Claude Code, Codex, Cursor, OpenClaw, and more — transforming your agent into your own AI Scientist. Learn more: github.com/mims-harvard/T…

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AI Scientists powered by ToolUniverse @ Harvard@ScientistTools·20 Şub

To further simplify installation, we’ve also introduced the setup-tooluniverse skill. You can simply use this skill to guide you through the installation process. zitniklab.hms.harvard.edu/ToolUniverse/g…

ToolUniverse now hosts 1600+ life science tools🧬, and we’re already seeing powerful combinatorial effects emerging from this ecosystem. To fully unlock their potential, we’re launching ✨ToolUniverse Skills✨, designed to guide agents in effectively leveraging these tools to solve complex scientific problems. With just: npx skills add mims-harvard/ToolUniverse you can install ToolUniverse Skills into agent systems like Claude Code, Codex, Cursor, OpenClaw, and more — transforming your agent into your own AI Scientist. Learn more: github.com/mims-harvard/T…

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AI Scientists powered by ToolUniverse @ Harvard@ScientistTools·29 Oca

Join our open community and help us build AI scientists for everyone!

Proud to share that the ToolUniverse ecosystem has surpassed 100,000 downloads! This milestone underscores the growing demand for robust agentic tools in AI-powered scientific discovery. Grateful to our team and contributors who made this possible. 🚀 github.com/mims-harvard/T…

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AI Scientists powered by ToolUniverse @ Harvard@ScientistTools·26 Oca

We just crossed 1,000 tools 🎯 ToolUniverse now gives you instant access to: → Every major biomedical database (ChEMBL, PubMed, UniProt, GTEx...) → ML models for drug discovery, genomics, protein structure → Scientific literature across PubMed, ArXiv, Europe PMC, and more → Integrated workflows from molecule to clinical trial Python SDK. MCP server. Function-calling APIs. Easy setup to power your AI agents on any platform. Stop fighting APIs. Start discovering. aiscientist.tools github.com/mims-harvard/T…⚡

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Marinka Zitnik@marinkazitnik·22 Oca

Medea: an omics AI agent for therapeutic discovery that performs verified, long-horizon reasoning across protein contexts, cell states, and personalized omics. Medea validates each decision and output against data and tool constraints as the analysis unfolds. @sui67713 @_michellemli @GaoShanghua @ScientistTools 👉 Medea: medea.openscientist.ai 👉 Open science: github.com/mims-harvard/M… 👉 Paper: biorxiv.org/content/10.648… Thread 👇 @HarvardDBMI @harvardmed @broadinstitute @KempnerInst @harvard_data @ScientistTools

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Marinka Zitnik@marinkazitnik·22 Oca

Better AI is not only about fetching more facts. It is about exploring and knowing when to switch gears mid-thought arxiv.org/abs/2601.13969 LLMs excel at language, but much of the world’s knowledge lives outside public web text: Internal ontologies, curated catalogs, drug safety tables, patient personal health data, lab knowledge bases Most systems force a choice: either search broadly like text retrieval or commit early to multi-hop exploratory traversal ARK is an agentic retriever that lets the model decide, step by step, when to zoom out for coverage and when to dive deep into relations No fragile seed selection. No fixed hop limits. No retriever training. Just two tools: 🔍 global search to surface relevant entities anywhere 🧭 local graph exploration to follow relations when evidence is multi-hop Stellar work by Joaquín Polonuer @lvvittor @ayushnoori @InakiArango @HarvardDBMI @harvardmed @broadinstitute @KempnerInst @harvard_data

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Marinka Zitnik@marinkazitnik·12 Ara

AI agents for science are featured as a “Method to Watch” in @NatureMethods, nature.com/articles/s4159… The piece also highlights our roadmap outlining capabilities, the need for thorough evaluations, and open challenges for AI agents, cell.com/cell/fulltext/…

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AI Scientists powered by ToolUniverse @ Harvard@ScientistTools·9 Ara

Great to see so many teams using ToolUniverse to power AI agents for drug decision-making in the CURE-Bench competition!

Thank you all for joining our CureBench @ NeurIPS competition (curebench.ai)! Huge thanks to the 1,622 participants from 398 teams worldwide, to Dr. @AziziShekoofeh for an amazing talk on Biomedical AI Agents, and to our fantastic organizing team and supporters!

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