{"repo":"mongodb-industry-solutions/multiagent-predictive-maintenance","free":true,"listed":false,"github":"https://github.com/mongodb-industry-solutions/multiagent-predictive-maintenance","clone":"git clone https://github.com/mongodb-industry-solutions/multiagent-predictive-maintenance.git","description":"This project implements an agentic system for predictive maintenance using MongoDB, AWS Bedrock, LangGraph.js and Next.js.","language":"JavaScript","stars":14,"topics":["agentic-ai","generative-ai","industry-solutions","manufacturing","mongodb","predictive-maintenance"],"license":"MIT","category":"ai-agents","readme_excerpt":"Agentic Predictive Maintenance System Manufacturers are moving beyond traditional predictive maintenance—it's not just about forecasting failures, but about acting on issues instantly and autonomously. This project demonstrates how agentic AI, orchestrated by LangGraph.js and powered by MongoDB Atlas and AWS Bedrock, enables multi-agent systems that detect problems and coordinate rapid, intelligent responses across the shop floor. This demo showcases: - Autonomous action: AI agents diagnose, plan, and execute maintenance tasks in real time, minimizing human intervention and downtime. - Operational agility: The system adapts to new data, equipment, and workflows, supporting continuous improvement. - Unified, scalable data foundation: MongoDB makes it easy to build, operate, and evolve agentic AI solutions—handling diverse data, enabling fast search, and supporting real-time decision-making. Architecture How it works: 1. Detection: Agents monitor machine telemetry and logs, triggering alerts on anomalies. 2. Diagnosis: The Failure Agent uses MongoDB’s flexible data model and vector search to rapidly analyze root causes. 3. Action: The Work Order Agent drafts and routes maintenance tasks, leveraging historical data and inventory. 4. Optimization: The Planning Agent schedules work to minimize disruption, using real-time production and staff data. Why MongoDB? - Unified data layer: Handles structured, unstructured, and time series data for all agents and workflows. - Real-time sea","default_branch":null,"files":null,"tree":[],"storefront":"/r/mongodb-industry-solutions","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/mongodb-industry-solutions/multiagent-predictive-maintenance/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}