AI Infrastructure · GitHub ·1,636 ★

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, 4 specialist agents (IoT, FMSR, TSFM, Work Order), and multi-agent orchestration blueprints (MetaAgent, AgentHive) over MCP.

Details

Author
IBM
Category
AI Infrastructure
Platform
GitHub
Framework
custom
Language
python
Stars
1,636
First indexed
2026-05-28
Last active
2026-05-26
Directory sync
2026-05-28

Overview

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.

Quick start

git

git clone https://github.com/IBM/AssetOpsBench

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What AssetOpsBench can do

  • Llm — llm task automation.
  • Framework — framework task automation.

Frequently asked questions

What is 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, 4 specialist agents (IoT, FMSR, TSFM, Work Order), and multi-agent orchestration blueprints (MetaAgent, AgentHive) over MCP.
How do I install AssetOpsBench?
Use git: `git clone https://github.com/IBM/AssetOpsBench`. Full setup details on the source page linked above.
Is AssetOpsBench open source?
AssetOpsBench is published on GitHub.
What are alternatives to AssetOpsBench?
Comparable agents include awesome, openclaw, superpowers. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for AssetOpsBench is sourced from GitHub, published by IBM.

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