AssetOpsBench

Grade C: derived only from the two verdicts below. How grades work

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.

Active2+ majors behindChecked Oct 19, 2026Free

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Why this verdict

How we check →

162 commits by 10 contributors in the last 90 days (19 in the last 30). receipt ↗
OpenAI SDK 1 declared; latest is 3 (2 majors behind). receipt ↗
NumPy 1 declared; latest is 2 (1 major behind). receipt ↗
pandas 2 declared; latest is 3 (1 major behind). receipt ↗
On current major: Pydantic. receipt ↗

Snapshot: commit e844f64 on main, checked 2026-10-19 06:18 UTC. Receipts link to files at this exact commit.

Check before you commit

Two or more breaking releases behind on a core dependency.

Dependency freshness

Package	Declared	Latest	Status
OpenAI SDK openai	1.40.0	3.35.1	2 majors behind
NumPy numpy	1.24.0	2.5.4	1 major behind
pandas pandas	2.0.0	3.0.6	1 major behind
Pydantic pydantic	2.12.5	2.14.1	Current

Declared = lowest version the kit's dependency file (package.json, pyproject.toml or requirements.txt) allows. Latest = the npm "latest" tag or the newest PyPI release. TypeScript, the Stripe SDK, FastAPI and other 0.x packages are shown but not counted in the verdict.

What's in the stack

AI: OpenAI SDK, MCP SDK
API layer: Pydantic

Detected from declared dependencies. A listed package means it's installed, not necessarily fully wired up.

What the README says you get

AI
TSFM MCP serverTSFM | Tasks/evidence: `list_tasks`, `profile_series`, `characterize_series`, `data_quality`
AI
Plan Execute frameworkPlan Execute — plan-and-execute sequential workflow to work with any LLM
AI
Deep Agent frameworkDeep Agent — planning, sub-agents, and virtual filesystem for long-horizon tasks
AI
Claude Agent orchestratorClaude Agent — ReAct-based orchestrator using Claude with agent-as-tool delegation
AI
OpenAI Agent orchestratorOpenAI Agent — ReAct-based orchestrator using OpenAI models with agent-as-tool delegation
Analytics
LLM Judge scoringTrajectories scored using **LLM Judge (Llama-4-Maverick-17B)**
API
IoT MCP serverIoT | `sites`, `asset_ids`, `asset_detail`, `assets`
API
FMSR MCP serverFMSR | `get_failure_modes`, `generate_failure_modes`, `add_failure_modes`
API
Work order MCP serverWO | Read: `list_workorders`, `get_workorder`, `get_workorder_tasks`
API
Vibration MCP serverVibration | `get_vibration_data`, `list_vibration_sensors`, `compute_fft_spectrum`
API
MCP environmentThe `src/` directory contains MCP servers and a plan-execute runner built on the Model Context Protocol
Data
CouchDB work order backendbacked by CouchDB with IBM Maximo `mxwo` field names
Other
Shared utility serverUtilities | `json_reader`, `get_sensor_catalog`, `get_asset_catalog`
Other
Read-only modeSet `AOB_READONLY=1` to expose the 9 read tools only

Extracted from the kit's README by a local AI model (deepseek-flash) on Sep 29, 2026. Every item is checked against an exact README quote. A README claim is the maker's description, not something we tested.

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History

Sep 29, 2026 → Oct 19, 2026. One square per check, colored by maintenance status. Hover for details.

Show as a table

Date	Maintenance	Dependencies	Commits (90d)
Oct 19, 2026	Active	2+ majors behind	162
Oct 12, 2026	Active	2+ majors behind	260
Sep 29, 2026	Active	2+ majors behind	287

Sources

Every claim on this page comes from these public records, checked Oct 19, 2026. Open them to verify.

Commit history ↗ default branch (main) at the checked commit: pulse, contributors, last commit
Releases ↗ latest release
pyproject.toml ↗ declared dependency versions and stack (at commit e844f64)
README ↗ quoted features at the checked commit
PyPI ↗ latest versions of Python packages (each linked in the table above)

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