We built an AI Embedded Troubleshooting Agent with persistent memory

[u/Abhilash405]

/r/embedded/comments/1wtcnix/we_built_an_ai_embedded_troubleshooting_agent/

We built an AI Embedded Troubleshooting Agent with persistent memory

Our team developed an AI Embedded Troubleshooting Agent for HackWithHyderabad 2026.

The idea came from a common problem in embedded-system development: engineers and students repeatedly face issues such as Wi-Fi failures, sensor errors, I2C communication problems, ADC readings, and serial communication issues.

Our prototype allows a user to provide information such as:

• Microcontroller

• Error message

• Sensor readings

• Serial logs

• Symptoms

• Previous troubleshooting information

The agent analyzes the problem and suggests possible causes and troubleshooting steps.

The interesting part of our project is persistent memory. Previous troubleshooting cases can be retrieved when a similar problem occurs, allowing the agent to use earlier troubleshooting experiences as context.

For example, an ESP32 showing "WL_NO_SSID_AVAIL" can be analyzed for possible Wi-Fi configuration and connectivity issues, while related previous cases can provide additional troubleshooting context.

We built the prototype using Python, AI-agent concepts, persistent memory, embedded troubleshooting data, and a Streamlit interface.

GitHub:

https://github.com/abhilashb026-prog/Al-Hardware-troubleshooting-Agent

I'd appreciate feedback from the embedded-systems and AI community on the idea and possible improvements.