# Memory
<a name="Memory"></a>

Understand how your agents store, retrieve, and use contextual information to provide personalized experiences. For more information on Amazon Bedrock AgentCore Memory, see [Add memory to your AI agent](https://docs.aws.amazon.com/bedrock-agentcore/latest/devguide/memory.html). Memory observability includes three key monitoring areas:
+ **Memories** – Monitor memory storage and retrieval patterns
+ **Memory sessions** – Monitor memory usage within individual sessions
+ **Traces view** – Access detailed trace information for memory operations

![\[Memory view\]](http://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/images/Memory.png)


To understand short-term or long-memory, see [Add memory to your AI agent ](https://docs.aws.amazon.com/bedrock-agentcore/latest/devguide/memory.html).

Choose **View details** to view the memory metrics in graphs.

![\[Memory metrics view\]](http://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/images/Memory_metrics.png)


Under **Memories**, you can view all the memories associated with your account. Choose a memory **Name** to view the memory details.

![\[Memory metrics view\]](http://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/images/Memory_details.png)


On the **Memory details** page, you will see the following tabs:
+ **Overview** – Displays comprehensive memory performance metrics and usage patterns for the selected memory resource
  + **Associated agents** – You can view the agents using the memory. Choose an **Agent/Endpoint** to view the agent overview page.
  + **Memory API invocations** – Total number of API calls made to memory operations including storage, retrieval, and update requests. This metric helps track memory system usage and capacity planning
  + **Extracted memory records** – Count of memory records successfully extracted and processed from agent interactions. This includes contextual information, user preferences, and conversation history that agents store for personalization
  + **Server errors** – Count of system errors during memory operations. High levels indicate potential infrastructure issues with memory storage or retrieval systems that require investigation
  + **Client errors** – Errors resulting from invalid memory requests, malformed data, or permission issues. High client error rates may indicate problems with agent memory integration or data formatting
  + **Throttling** – Number of memory requests throttled due to exceeding allowed transaction limits. Monitor this metric to determine if memory access patterns need optimization or if service quotas require adjustment
  + **Latency** – Response time for memory operations including storage and retrieval requests. Track P50, P90, and P99 latencies to identify performance bottlenecks and optimize memory access patterns
+ **Memory sessions** – You can view the session that contain short-term memory from agent interactions. Under **Memory sessions**, choose **Session ID** to view the session dashboard.
+ **Traces** – Displays the traces for agents. Under **Traces**, choose **Trace ID** to view the traces that invoke a specific memory. You can use the traces dashboard to deep dive into the agent memory usage, and final responses.

**Note**  
The **Memory sessions** and **Traces** tab experience and fields are similar across **Built-in tools**, **Gateways**, **Memory**, and **Identity** observability. For more information on the fields, see [Code interpreter tool](Built-in-tools.md#Code-interpreter-tool).