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If you’re noticing that your sessions aren’t keeping their context properly in Amazon Bedrock Agents, there’s a simple way to fix that. The key is understanding how session management and memory work in these agents.
When you use the same runtimeSessionId for related interactions, the agent is supposed to remember the conversation so that it feels continuous. But sometimes, it doesn’t work as expected — especially when you’re asking questions about the conversation itself, like “What was my last question?” or “Can you summarize our chat?” You might find that these questions are answered correctly after the session has timed out and a session summary is created. That’s because of how Bedrock Agents handle memory.
In Amazon Bedrock, agents only keep track of the message context during an active session. Once the session ends — whether automatically after some time or manually — the conversation gets stored as a ‘memory’ with a unique identifier. This memory contains processed information, such as summaries, that captures the essence of the conversation. So even if the session has timed out, the agent can still respond accurately by referencing this stored memory.
To make sure your sessions stay consistent and maintain context properly, follow these tips:
1. Always use the same runtimeSessionId for related conversations. This keeps the session connected.
2. Enable and set up memory for your agent. This allows the conversation context to be stored longer and retrieved later.
3. If you’re working with multiple sessions, give each user a common memoryId. This way, the agent can remember each user’s history across different sessions.
Without implementing proper memory management, your conversations might seem disconnected or repetitive. Proper storage and use of memory help create a more natural, ongoing dialogue.
For more detailed guidance, you can refer to the Amazon Bedrock documentation on session management and memory setup.
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