What are all the ways in which I can extend my session data in AWS Bedrock

You're on the right track with your understanding of extending session data in AWS Bedrock, but let's clarify and expand on the available options:

1. Agent Memory: This is indeed a powerful feature that can retain conversational context for up to 365 days. You can enable and configure memory for your agent, specifying the retention period between 1 and 365 days. This allows the agent to access stored conversation history and summaries to generate more contextually relevant responses across multiple sessions.

2. Session Management APIs: While it's true that the default retention period for session data is 30 days, this is an automatic deletion process and cannot be extended. The Session Management APIs are designed for shorter-term storage and retrieval of conversation history and context.

3. External Storage: Your idea of using DynamoDB or another persistent storage solution is a valid approach. This method allows you to store conversation history indefinitely and retrieve it as needed. You can use tools like LangChain's DynamoDB chat message history class to integrate this stored information into your conversations.

4. Bedrock Agent Session State Attributes: You can use SessionAttributes and PromptSessionAttributes to pass context between prompts within a session. While this doesn't extend the session duration, it helps maintain context during active sessions.

5. Logging and Tracing: Enabling tracing for InvokeAgent calls can help you view conversation history, including the agent's actions, queries, and observations at each step. This information can be stored and used to inform future interactions.

6. Custom Summarization: You can use the memory summarization feature with custom prompt templates to create concise summaries of past interactions, which can be stored long-term and used to inform new sessions.

It's important to note that the 30-day limit for the Session Management APIs is a fixed quota and cannot be changed. For long-term storage and context retention, combining the agent memory feature (up to 365 days) with a custom external storage solution (like DynamoDB) is likely the most flexible and robust approach. This allows you to maintain context beyond the 365-day limit of the agent memory if needed, while still leveraging Bedrock's built-in features for recent interactions.
Sources
Retain conversational context across multiple sessions using memory - Amazon Bedrock
Enable agent memory - Amazon Bedrock
Store and retrieve conversation history and context with session management APIs - Amazon Bedrock
How to retain conversation history as context for Bedrock agent after current session expires | AWS re:Post