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.
Latest metrics (snapshot 2026-10-14)
| stars | 2355 |
|---|---|
| forks | 338 |
| issues | 42 |
| pushed_at | 2026-10-14T17:20:51Z |
History
History chart: 1 daily snapshot so far (archive started 2026-10-14). The line fills in as the daily archive grows; full series via the API.
| Date | GitHub stars |
|---|---|
| 2026-10-14 | 2355 |
ADC Momentum: 31/100
| Growth velocity | 18 |
|---|---|
| Consistency | 14 |
| Recency | 100 |
| Agent demand | 0 |
| Basis | bootstrap |
ADC Momentum (0-100) = 45% growth velocity (stars/likes gained per day in our daily archive, relative and absolute, percentile-ranked within the category) + 20% consistency (share of recent days with growth) + 20% recency (latest push/update/release, decaying) + 15% agent demand (how often AI agents looked it up via our API/MCP this week). MCP servers use release cadence; LLMs use price cuts, context and recency. Recomputed daily; scores marked "bootstrap" use lifetime rates until the archive has enough days. Method
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| description | 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. |
|---|---|
| url | https://github.com/IBM/AssetOpsBench |
| language | Python |
| license | Apache-2.0 |
| topics | ai-for-physical-assets condition-based-maintenance hvac-maintenance iot llm-agents model-context-protocol predictive-maintenance time-series-forecasting |
| created_at | 2025-05-01T20:48:50Z |
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