Alyx now remembers your work across sessions with long-term memory

Arize AX has introduced long-term memory for Alyx, its AI engineering agent, allowing it to retain durable user-specific context such as project goals, workflow conventions, preferences, decisions, and rejected approaches across separate sessions. Enabled by default, the feature is available throughout traces, evaluations, experiments, and other AX workflows, helping users continue work without repeatedly explaining key requirements, such as policy constraints identified during production investigations. Alyx is designed to retrieve current configurations, IDs, and live metrics directly from the platform rather than store potentially outdated operational details, reserving memory for context that is difficult to reconstruct. Memories are scoped to an individual user and Arize space, are not shared with teammates or other spaces, and can be viewed, corrected, or deleted through chat.

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