AssetOpsBench provides a unified framework for developing AI agents specialized in Industry 4.0 asset operations and maintenance. It offers 460+ scenarios across 4 specialist agents (IoT, FMSR, TSFM, Work Order) with multi-agent orchestration blueprints including MetaAgent and AgentHive architectures. The framework uses the Model Context Protocol (MCP) for inter-agent communication and serves as both a benchmark and evaluation platform for industrial AI agents, with support for time-series forecasting, predictive maintenance, and condition-based maintenance tasks.