AI & Automation

Instrumenting LoRa networks so an AI agent — or any script — can monitor, test, and diagnose them in a closed loop.

Give an AI agent eyes and hands on the LoRa band

Most analysers are a screen a human stares at. I build the tooling that lets an agent — or any script — watch the band, act on it, and observe the result, autonomously.

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Overview

LoRaScope exposes both its live feed and its controls over telnet and REST. An agent can watch the band, read decoded packets, run custom decoders, then inject and emulate traffic to test a hypothesis and watch the result — monitor, reason, act, observe, in a loop. Because it works at the radio layer, an agent can instrument a site even where there is no LoRaWAN network server and no gateway to log into.

What it enables

See — agent-readable

Stream the live decoded-packet feed over telnet or REST — RSSI, SNR, source, payload, timestamps — and query the capture store, link health, and historical logs. Every packet is also logged to SD as human-readable CSV.

Act — agent-controllable

Switch channel and protocol, inject packets, and emulate a hub or node through the same single API — one call, no separate tool per stack (LoRaWAN, LoRaBASIC, MeshCore, and more).

Loop — closed-loop diagnosis

Combine the two and an agent can run autonomous fault diagnosis: form a hypothesis, inject a test, read the result, and narrow down a problem without a human on site.