The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
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…
Install
$
git clone https://github.com/IBM/AssetOpsBenchInstall command taken from the project's README or registry entry. Always review code before running it.
README excerpt
Read full README on GitHub →AssetOpsBench
AI Agents for Industrial Asset Operations & Maintenance
A unified, open framework for building, orchestrating, and evaluating domain-specific AI agents in Industry 4.0.
📄 Paper · 🤗 Dataset · 🎮 Playground · 📢 IBM Blog · 🎥 Video · 📊 Kaggle · 🚀 Colab
[!IMPORTANT] 🎉 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 for the full list of 2025–2026 work.
At a Glance
Built for: maintenance engineers, reliability specialists, facility planners, and Industry 4.0 researchers. Powered by: LLMs + Time Series Foundation Models, orchestrated over live sensor data and Industry 4.0 records (FMEA, work orders, alerts). Now with: simplified interface and native MCP (Model Context Protocol) support.
Quick Start
# Clone and install
git clone https://github.com/IBM/AssetOpsBench.git
cd AssetOpsBench
pip install -e .
# Try a scenario (to be enabled)
python -m assetopsbench.run --scenario "List all sensors of Chiller 6 in MAIN site"
Or jump in instantly:
- 🚀 Run on Colab — no install required (illustration of LLM Agent)
- 🎮 Try the HF Playground — interactive demo
- 📖 Read INSTRUCTIONS.md — full setup, MCP servers, plan-execute runner
[!NOTE] Active development is on
main. The codebase used for various publication venues continues to be maintained on separate branches, for example, ACL 2026IndustryAssetEQAand prior experimental work is maintained onmain-0.x.
What is AssetOpsBench?
AssetOpsBench is a unified framework for developing, orchestrating, and evaluating domain-specific AI agents in industrial asset operations and maintenance. It provides reproducible scenarios, agent tooling, and evaluation pipelines for multi-step workflows in simulated industrial environments.
Domain-Specific MCP Servers
Similar plugs
Reverse engineer anything with agents, from app behavior down to native binaries.
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or self-hosted, so teams move from prototype…
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)