IBM/AssetOpsBench
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, 5 specialist agents (IoT, FMSR, TSFM, Work Order,...), and multi-agent orchestration blueprints (MetaAgent, AgentHive) over MCP.
Star count as of 10:05 (BKK).
IBM/AssetOpsBench has 2.4k stars and gained +6 of them in the today, a 0.3% change. It is written in Python, grouped under ai-agents, released under Apache-2.0. A merged pull request waits a median of 2h from opening to merge, measured on 56 pull requests. Last pushed on 27 Oct 2026.
Star history
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Growth
| Period | Stars gained | Growth | From | Measured |
|---|---|---|---|---|
| Last 6 hours | — | — | — | Not measured |
| Last 12 hours | — | — | — | Not measured |
| Today | +6 | 0.3% | 2.4k on 26 Oct 2026 | Daily snapshots |
| Last 7 days | — | — | — | Last measured 25 Oct 2026 |
| Last 30 days | — | — | — | Not measured |
| Last year | — | — | — | Not measured |
A period with no current measurement is left blank: a delta needs a measurement at both ends of the period. The 6- and 12-hour periods need two intraday measurements exactly that far apart, the day-and-longer periods need snapshots on both dates, and the last year also needs star history from a year ago, which we keep for one year.
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