▲ 1 r/LLMDevs
My AI agent kept forgetting the same rogue transmitter, so I gave it memory
I was building an SDR-based HF spectrum monitoring system that detects anomalous radio transmissions in real time.
But I ran into an unexpected issue:
Every time the same rogue transmitter appeared again days later, the agent treated it like a completely new event.
No memory.
No context.
No persistence.
It could detect anomalies, but it couldn’t recognize recurrence.
So I started experimenting with memory layers for the agent.
Now the system:
- stores transmission fingerprints
- compares new detections against historical anomalies
- recognizes recurring burst patterns
- tracks persistence across time/location windows
- reduces repeated false escalations
The project is called TarangWatch — a distributed autonomous HF spectrum audit + intelligence platform.
I wrote about:
- why stateless agents fail in long-running monitoring systems
- SDR + anomaly detection workflow
- how memory changes agent behavior
- architecture decisions behind the system
Repo:
https://github.com/manyarolekar/tarang4all
Would love feedback from people working on:
- agent memory
- anomaly detection
- SDR/signal intelligence
- long-running autonomous systems
u/AntelopeGlobal6041 — 3 days ago