ai-memorysdk

Rather than building custom memory architecture from scratch, developers integrate the SDK to give their AI applications the ability to store, retrieve, and reason over structured and unstructured information that accumulates through user interactions over time.

The SDK's memory layer supports multiple memory types episodic records of past interactions, semantic knowledge about user preferences and context, and procedural patterns learned from repeated user behaviors with configurable retention and decay policies that keep the memory store relevant without accumulating stale data that degrades retrieval quality.

Privacy controls allow applications to implement user-facing memory transparency and deletion capabilities that meet regulatory requirements.

AI Memory SDK's retrieval system uses semantic similarity matching to surface contextually relevant memories at the appropriate moment in a conversation, providing the AI with the background context needed to personalize responses without requiring users to re-explain their situation on every session.

Developers can tune retrieval sensitivity, set memory scope boundaries, and log memory access patterns for debugging giving full visibility into how the memory system is influencing application behavior in production.