My Agent Remembered the Fix and Was Wrong
Last month my incident-recovery agent looked at a failing search query, remembered it had fixed the same symptom before, and proposed the same fix. It would have been the wrong one. The bug was a search gateway returning results from the wrong corpus version. The first time, an alias was pointing at the old collection. This time the alias was already correct, and the real problem was somewhere…
An agent's memory can be both a strength and a weakness, as demonstrated by a recent software incident. AfterTrace is a command-line tool designed to recover from incidents, following a loop of detect, diagnose, propose, approve, fix, verify, and retain. The agent, created by Ramakrishna1967, uses Qdrant Cloud for vector data, Hindsight for long-term memory, SQLite to log incidents, and a Python CLI to run the process with human approval for every write.
The agent's memory can help it learn from past incidents, but it must still verify the current situation before making any changes. In three separate scenarios, the agent's ability to prioritize and check live evidence before acting proved crucial. In Scenario 1, an incorrect alias was pointing to an old corpus, and the agent initially proposed switching it, but after verifying the live state, it successfully corrected the issue.
Scenario 2 involved a similar bug with a different corpus, but this time the agent's persistent memory led it to the likely cause more quickly. Scenario 3 highlighted the importance of checking live evidence when the agent's memory suggested a fix that no longer applied, as the real issue was a stale cache. The agent rejected the recalled fix, identified the stale cache, and cleared only that before proceeding.
The key takeaway is that memory should prioritize what to check, but live evidence should decide what changes to make. This approach helps prevent both overcorrections and missed issues. The developer suggests saving rejected recalls to allow the agent to learn from its mistakes and improve future recall decisions. Implementing these strategies in an agent with persistent memory, such as using Hindsight, can lead to more effective incident recovery.
Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
