Artificial intelligence agent memory can preserve task state, observations, preferences, prior decisions, plans, summaries, and lessons outside one model context window. Implementations can use structured records, event histories, searchable embeddings, or project-local files.
Memory is useful only when relevant, current, trustworthy, and actually retrieved. It requires provenance, access controls, retention rules, correction, deduplication, and clear separation between temporary task state and durable project knowledge.
