Developer Uses LangChain Hybrid Memory to Manage 2,500 IoT Devices in Kenya

A developer managing over 2,500 IoT devices across Kenya turned to LangChain memory strategies to handle real-time telemetry data sent via MQTT. Short-term memory offered low latency but proved unreliable during frequent connectivity disruptions, causing gaps in data analysis. Long-term memory provided persistence through outages but strained the limited hardware, typically 2GB RAM devices, due to higher storage and processing demands. A hybrid approach was ultimately adopted, storing real-time data in short-term memory while syncing only critical data to long-term storage, balancing speed and reliability within budget. Automated monitoring scripts were also added to track memory usage and sync tasks across the geographically dispersed device fleet.