ChemAI Atlas is a comprehensive platform dedicated to discovering and exploring AI tools, models, agents, MCP servers, skills, APIs, datasets, and open-source projects specifically for chemistry and chemical engineering. It serves as a central hub for researchers, developers, and practitioners in the field to find and utilize cutting-edge AI solutions.

• Discover AI Tools: Access a curated collection of AI models, agents, and developer tools tailored for chemistry and chemical engineering applications.
• Browse by Resource Type: Explore the chemistry AI stack categorized by Models, Agents, MCP Servers, Skills, APIs, Datasets, Open Source libraries, and Commercial Platforms.
• Explore by Task: Find solutions based on specific tasks such as Molecular Property Prediction, Molecular Generation, Chemical Structure Recognition, Cheminformatics, Reaction Prediction, and Retrosynthesis.
• Featured Resources: Discover highlighted projects like AiZynthFinder, DeepChem, Chemprop, RDKit, and more, selected by the editorial team.
• Recently Updated: Stay informed about the latest editorial changes and additions to resource information.
• Guides: Access practical guides on topics like AI Agents for Chemistry and AI for Drug Discovery, providing insights into workflows, tools, and evaluation methods.
• Submit Resource: Contribute to the community by submitting new resources for editorial review.
• Multilingual Support: The platform offers content in English, Chinese, and Japanese.

ChemAI Atlas aims to accelerate innovation in chemistry and chemical engineering by making AI resources easily discoverable and accessible.