On June 30, 2026, Anthropic officially opens Claude Science beta in Pro/Max/Team/Enterprise plans — an AI workbench application aimed at scientific researchers, with macOS and Linux launching simultaneously. It shifts the perspective from "model benchmarks" to the daily research life: PubMed, Jupyter, R, HPC login nodes, databases of various formats, the parts that used to rely on graduate students to hand-craft pipelines, are gathered into a chat-first environment. It natively renders 3D protein structures, genome browser tracks, chemical molecular formulas, with each image and each piece of text accompanied by the code that produced it, the dependency environment, and plain-language description, so it can still be reproduced months later. Supporting this "see-image-speak + reproducibility audit" isn't a single giant model, but a multi-agent system: the main coordinator agent hangs on 60+ domain skills and connectors (genomics, single-cell, proteomics, cheminformatics), can spawn out expert agents and a reviewer agent, which checks item-by-item whether citations, numbers, and charts match the code. On the compute side, NVIDIA BioNeMo Agent Toolkit is borrowed to plug in life-science models like Evo 2, Boltz-2, OpenFold3, and allows workflows to land on own laptops, internal Linux nodes, SSH-connected HPC clusters, or stretch to thousands of GPU cards via Modal. Manifold Bio, Allen Institute, UCSF Neuro-Oncology Center have already run single-cell sequencing, CRISPR screening, target nomination, and literature reviews in beta. Anthropic simultaneously opens up to 50 "AI for Science" project support, with up to $30,000 in Claude credits per project, registration closing July 15. Around WAIC 2026, Anthropic is betting on "vertical workflows" — outside the base model, what really determines the winner is whether you can take a certain class of expert position's daily work and integrate it whole. Claude Science demonstrates the full-stack closed loop of "model + tools + compute + audit" in the AI4Science scenario.