How AI Agents Can Retain, Recall, and Cite Evidence Without Hallucinating

A developer walkthrough published on DEV Community demonstrates how a working AI agent can store and retrieve community messages and product updates as timestamped memories using a unified memory layer. The system is designed to return an INSUFFICIENT_EVIDENCE status when relevant data is lacking, treating uncertainty as a formal outcome rather than masking it with model confidence. All generated FAQ answers are assigned a DRAFT status and require human moderator approval before publication. The agent is also required to distinguish observations from interpretations and explicitly flag weak or conflicting evidence in its output. A key design principle highlighted is that every published answer links back to specific memory IDs, allowing the system to show its reasoning rather than simply assert conclusions.