Enables molecular visualization and analysis from SMILES strings using multiple rendering approaches (RDKit, NetworkX, Plotly, matplotlib), providing detailed molecular properties, validation, and batch processing capabilities for chemical structures.
Enables AI agents to search the Chemspace API for synthesizable building blocks and screening compounds using exact matches, substructure searches, and similarity searches by SMILES strings.
Provides computational chemistry tools for LLMs, enabling molecular operations like SMILES processing and geometry manipulation via a modular agent and tool system.
Enables LLMs to build, inspect, run, and analyze CFAST fire models step by step via tools for compartments, materials, vents, fires, devices, and surface connections, with simulation and result summaries.
