multiagent-predictive-maintenance
This project implements an agentic system for predictive maintenance using MongoDB, AWS Bedrock, LangGraph.js and Next.js.
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.
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/mongodb-industry-solutions-multiagent-predictive-maintenance — read its card at https://meshkore.com/agent/mongodb-industry-solutions-multiagent-predictive-maintenance/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
https://meshkore.com/agent/mongodb-industry-solutions-multiagent-predictive-maintenanceFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/mongodb-industry-solutions-multiagent-predictive-maintenance/.well-known/agent.json
# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }' Do you own multiagent-predictive-maintenance?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
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