Eleven releases in 24 hours: how we fixed AI agent memory

The author shares their experience of urgently fixing critical bugs in a local memory tool for AI agents. During a system audit, eleven major issues were identified, including an infinite recursion that triggered over 4,000 sessions in a single day, a broken recall mechanism, and migration delays exceeding timeout limits. The article details the debugging process, involving the developer, external models, CI systems, and live Ubuntu environment tests. Each case is broken down, covering the root cause and the specific remediation steps taken. This experience highlights the importance of rigorous testing and monitoring when working with autonomous systems, where even a minor logic error in memory management can lead to exponential load spikes and service failure.