Clarus: Collaboration infrastructure for coordinating autonomous research agents at web scale
Researchers introduce Clarus, a collaboration infrastructure designed to coordinate autonomous research agents—including AI systems, human researchers, and organizations—across web-scale scientific projects. The system defines a project-agent-resource object model and organizes scientific work through four layers (Research Application, Digital Collaboration, Physical Substrate, Physical World) with pluggable trust and attribution mechanisms. A paper-generation case study demonstrates traceable, attributable multi-phase collaboration networks. The system is publicly available at clarus.holosai.io.
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Anthropic launches Claude Science, an AI workbench for scientific research
Anthropic released Claude Science in beta, an AI-powered research environment integrating over 60 curated scientific tools and databases for genomics, proteomics, structural biology, and cheminformatics. The platform features a coordinating agent with specialist sub-agents, a reviewer agent for citation and calculation checking, reproducible auditable artifacts, and flexible compute management across local machines, HPC clusters, and on-demand GPUs. It integrates with NVIDIA's BioNeMo Agent Toolkit, connecting to models like Evo 2, Boltz-2, and OpenFold3. Available to Claude Pro, Max, Team, and Enterprise users, this represents Anthropic's most significant expansion into scientific AI tooling.
Anthropic Partners with Allen Institute and HHMI to Deploy Claude in Frontier Life Sciences Research
Anthropic has announced flagship partnerships with the Allen Institute and Howard Hughes Medical Institute (HHMI) to embed Claude into active scientific workflows at both institutions. HHMI's collaboration, anchored at Janelia Research Campus, focuses on developing specialized AI agents integrated with scientific instruments and analysis pipelines. The Allen Institute partnership targets multi-agent systems for multi-modal biological data analysis, including multi-omic integration, knowledge graph management, and experimental design coordination. Both partnerships emphasize interpretability, researcher autonomy, and transparency, with the stated goal of compressing months of manual analysis while keeping human scientists in control of scientific direction.
Anthropic announces Claude Science, an autonomous research agent for scientific work
Anthropic unveiled Claude Science at an event for pharmaceutical executives, biotech founders, and researchers, positioning it as a major product for scientific research analogous to what Claude Code is for software engineering. Like Claude Code, Claude Science can autonomously execute meaningful work from high-level instructions and has access to relevant tools. The announcement signals Anthropic's expansion into scientific AI agents as a distinct product category targeting life sciences and research workflows.
How scientists are using Claude to accelerate research and discovery
Anthropic describes how researchers are deploying Claude-powered systems across scientific workflows, highlighting three case studies: Biomni (a Stanford agentic platform integrating hundreds of biomedical tools), the Cheeseman Lab (automating large-scale gene knockout experiment interpretation), and others. The piece details Claude for Life Sciences and the AI for Science program, which provides free API credits to high-impact research projects. Specific benchmarks cited include compressing months-long GWAS analyses to 20 minutes and analyzing 336,000 single-cell datasets to identify novel transcription factors.
Anthropic launches Projects feature for Claude.ai Pro and Team users
Anthropic introduced Projects for Claude.ai Pro and Team subscribers, allowing users to organize chats with curated knowledge bases, custom instructions, and a 200K context window per project. The feature also includes Artifacts (a side-by-side content generation and preview pane) and team-level conversation sharing via activity feeds. Projects are powered by Claude 3.5 Sonnet and include a privacy commitment that shared data will not be used for model training without explicit consent.
ARIS: Lightweight autonomous ML research agent using Markdown-only skills
ARIS (Auto-Research-In-Sleep) is an open-source Python project providing lightweight, framework-free Markdown-based skills for autonomous ML research workflows, including cross-model review loops, idea discovery, and experiment automation. It is designed to work with any LLM agent backend including Claude Code, Codex, or others. The project has accumulated 11,791 GitHub stars with notable daily traction (+106), suggesting meaningful community adoption.
AutoResearchClaw: Fully Autonomous Self-Evolving Research Agent (Idea to Paper)
AutoResearchClaw is an open-source Python project from aiming-lab that claims to automate the full research pipeline from idea to paper, positioning itself as a fully autonomous and self-evolving research agent. The repository has accumulated 12,426 stars with 55 added today, indicating notable community traction. It represents a concrete implementation in the growing space of AI agents designed to conduct and write scientific research autonomously.
Anthropic partners with U.S. National Labs for 1,000 Scientist AI Jam evaluating Claude on scientific tasks
Anthropic is participating in the U.S. Department of Energy's first 1,000 Scientist AI Jam, bringing together scientists across multiple National Laboratories to evaluate frontier AI models on scientific research and national security applications. Claude 3.7 Sonnet, recently launched as the first hybrid reasoning model, will be a primary subject of evaluation across tasks including hypothesis generation, experiment planning, code generation, and result analysis. This builds on Anthropic's April 2024 collaboration with the National Nuclear Security Administration, which was the first instance of a frontier lab evaluating a model in a Top Secret classified environment. The partnership signals deepening government-industry collaboration on AI for scientific discovery and national security.