★ 1,601 stars
Python
🤖 AI/LLM
Updated 2d ago
AssetOpsBench - Industry 4.0: A unified benchmark and framework for building, orchestrating, and evaluating domain-specific AI agents for Industry 4.0 asset operations and maintenance, with 460+ scenarios, 4 specialist agents (IoT, FMSR, TSFM, Work Order), and multi-agent orchestration blueprints (MetaAgent, AgentHive) over MCP.
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Quick Install
Copy the config for your editor. Some servers may need additional setup — check the README.
Claude Desktop
Claude Code
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Add to claude_desktop_config.json:
{
"mcpServers": {
"assetopsbench": {
"command": "uvx",
"args": [
"assetopsbench"
]
}
}
}
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Run in terminal:
claude mcp add assetopsbench uvx assetopsbench
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Add to .cursor/mcp.json:
{
"mcpServers": {
"assetopsbench": {
"command": "uvx",
"args": [
"assetopsbench"
]
}
}
}
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Or install with pip: pip install assetopsbench
README Excerpt
<div align="center"> *A unified, open framework for building, orchestrating, and evaluating domain-specific AI agents in Industry 4.0.* 📄 [**Paper**](https://arxiv.org/pdf/2506.03828) · 🤗 [**Dataset**](https://huggingface.co/datasets/ibm-research/AssetOpsBench) · 🎮 [**Playground**](https://huggingface.co/spaces/ibm-research/AssetOps-Bench) · 📢 [**IBM Blog**](https://research.ibm.com/blog/asset-ops-benchmark) · 🎥 [**Video**](https://www.youtube.com/watch?v=kXmBDMrKFjs) · 📊 [**Kaggle**](https://ww
Topics
condition-based-maintenance hvac-maintenance iot llm-agents model-context-protocol predictive-maintenance time-series-forecasting