mongodb-industry-solutions/multiagent-predictive-maintenance

This project implements an agentic system for predictive maintenance using MongoDB, AWS Bedrock, LangGraph.js and Next.js.

47
/ 100
Emerging

This project helps manufacturers automate maintenance on their shop floor. It takes real-time machine data and logs, then uses AI to detect anomalies, diagnose problems, and autonomously create and schedule work orders. Operations managers and plant supervisors can use this to keep production running smoothly with less manual intervention.

Use this if you need to move beyond simple failure prediction to an autonomous system that can diagnose issues, plan, and schedule maintenance tasks in real-time across your manufacturing operations.

Not ideal if you're looking for a basic failure prediction model that doesn't involve automated diagnosis, work order generation, or multi-agent coordination.

predictive-maintenance manufacturing-operations shop-floor-management production-scheduling industrial-automation
No Package No Dependents
Maintenance 10 / 25
Adoption 5 / 25
Maturity 15 / 25
Community 17 / 25

How are scores calculated?

Stars

9

Forks

10

Language

JavaScript

License

MIT

Last pushed

Mar 11, 2026

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/generative-ai/mongodb-industry-solutions/multiagent-predictive-maintenance"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.