AssetOpsBench
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How to install AssetOpsBench?
ibm/assetopsbench
$git clone https://github.com/IBM/AssetOpsBench*A unified, open framework for building, orchestrating, and evaluating domain-specific AI agents in Industry 4.0.*
README.md
| 1 | <div align="center"> |
| 2 | |
| 3 | [](https://mseep.ai/app/ibm-assetopsbench) |
| 4 | |
| 5 | # AssetOpsBench |
| 6 | |
| 7 | ### AI Agents for Industrial Asset Operations & Maintenance |
| 8 | |
| 9 | *A unified, open framework for building, orchestrating, and evaluating domain-specific AI agents in Industry 4.0.* |
| 10 | |
| 11 | [](https://github.com/IBM/AssetOpsBench/stargazers) |
| 12 | [](https://github.com/IBM/AssetOpsBench/network/members) |
| 13 | [](LICENSE) |
| 14 | [](#publications) |
| 15 | [](#ai-competitions) |
| 16 | [](#ai-competitions) |
| 17 | |
| 18 | [](#) |
| 19 | [](#) |
| 20 | [](#publications) |
| 21 | [](#publications) |
| 22 | [](#publications) |
| 23 | [](#publications) |
| 24 | [](#publications) |
| 25 | [](#publications) |
| 26 | |
| 27 | |
| 28 | |
| 29 | 📄 [**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://www.kaggle.com/benchmarks/ibm-research/asset-ops-bench) · 🚀 [**Colab**](https://colab.research.google.com/github/IBM/AssetOpsBench/blob/main-0.x/notebook/LLM_Agent.ipynb) |
| 30 | |
| 31 | </div> |
| 32 | |
| 33 | > [!IMPORTANT] |
| 34 | > 🎉 **AssetOpsBench is officially accepted at KDD 2026** (Datasets & Benchmarks Track), Jeju, South Korea, alongside our hands-on tutorial *Building Reliable Industrial Agents with MCP*. See [Publications](#publications) for the full list of 2025–2026 work. |
| 35 | |
| 36 | --- |
| 37 | |
| 38 | ## At a Glance |
| 39 | |
| 40 | <table> |
| 41 | <tr> |
| 42 | <td align="center" width="16%"><b>9</b><br><sub>Asset classes</sub></td> |
| 43 | <td align="center" width="16%"><b>141+</b><br><sub>Scenarios</sub></td> |
| 44 | <td align="center" width="16%"><b>5</b><br><sub>Domain agents</sub></td> |
| 45 | <td align="center" width="16%"><b>2</b><br><sub>Orchestration frameworks</sub></td> |
| 46 | <td align="center" width="16%"><b>20+</b><br><sub>University extensions</sub></td> |
| 47 | <td align="center" width="16%"><b>500+</b><br><sub>Competition submissions</sub></td> |
| 48 | </tr> |
| 49 | </table> |
| 50 | |
| 51 | **Built for:** maintenance engineers, reliability specialists, facility planners, and Industry 4.0 researchers. |
| 52 | **Powered by:** LLMs + Time Series Foundation Models, orchestrated over live sensor data and Industry 4.0 records (FMEA, work orders, alerts). |
| 53 | **Now with:** simplified interface and native **MCP (Model Context Protocol)** support. |
| 54 | |
| 55 | --- |
| 56 | |
| 57 | ## Quick Start |
| 58 | |
| 59 | ```bash |
| 60 | # Clone and install |
| 61 | git clone https://github.com/IBM/AssetOpsBench.git |
| 62 | cd AssetOpsBench |
| 63 | pip install -e . |
| 64 | |
| 65 | # Try a scenario (to be enabled) |
| 66 | python -m assetopsbench.run --scenario "List all sensors of Chiller 6 in MAIN site" |
| 67 | ``` |
| 68 | |
| 69 | Or jump in instantly: |
| 70 | - 🚀 **[Run on Colab](https://colab.research.google.com/github/IBM/AssetOpsBench/blob/main-0.x/notebook/LLM_Agent.ipynb)** — no install required (illustration of LLM Agent) |
| 71 | - 🎮 * |
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