AWS bedrock-agentcore documentation change
Summary
Added a comprehensive 'Topics' table of contents section and made minor typographical changes (straight quotes/apostrophes to curly quotes/apostrophes) in example text and descriptions.
Security assessment
The changes are purely structural and editorial. The addition of a 'Topics' section improves document navigation, and the typographical updates are for consistency. There is no mention of vulnerabilities, security patches, access controls, encryption, authentication, or any other security-related concepts. The linked topics like 'Best practices' and 'Observability' could contain security advice, but the change itself does not add that content; it only adds links.
Diff
diff --git a/bedrock-agentcore/latest/devguide/memory.md b/bedrock-agentcore/latest/devguide/memory.md index 701879964..f56f33dd4 100644 --- a//bedrock-agentcore/latest/devguide/memory.md +++ b//bedrock-agentcore/latest/devguide/memory.md @@ -16,0 +17,29 @@ AgentCore Memory supports a variety of SDKs and agent frameworks. For examples, +###### Topics + + * Memory types + + * Memory key benefits + + * Common use cases of memory + + * [How it works](./how-it-works.html) + + * [Get started with AgentCore Memory](./memory-get-started.html) + + * [Create an AgentCore Memory](./memory-create-a-memory-store.html) + + * [Use short-term memory](./using-memory-short-term.html) + + * [Use long-term memory](./long-term-memory-long-term.html) + + * [Amazon Bedrock AgentCore Memory examples](./memory-examples.html) + + * [Amazon Bedrock capacity for built-in with overrides strategies](./bedrock-capacity.html) + + * [Observability](./memory-observability.html) + + * [Best practices](./best-practices.html) + + + + @@ -26 +55 @@ Short-term memory captures turn-by-turn interactions within a single session. Th -**Example:** When a user asks, "What's the weather like in Seattle?" and follows up with "What about tomorrow?", the agent relies on recent conversation history to understand that "tomorrow" refers to the weather in Seattle. +**Example:** When a user asks, "What’s the weather like in Seattle?" and follows up with "What about tomorrow?", the agent relies on recent conversation history to understand that "tomorrow" refers to the weather in Seattle. @@ -41 +70 @@ Long-term memory automatically extracts and stores key insights from conversatio - * **Reduce development complexity:** Offload the undifferentiated heavy lifting of managing conversational state and memory, allowing you to focus on building your agent's core business logic. + * **Reduce development complexity:** Offload the undifferentiated heavy lifting of managing conversational state and memory, allowing you to focus on building your agent’s core business logic. @@ -48 +77 @@ Long-term memory automatically extracts and stores key insights from conversatio - * **Conversational agents:** A customer support chatbot remembers a user's previous issues and preferences, enabling it to provide more relevant assistance in future interactions. + * **Conversational agents:** A customer support chatbot remembers a user’s previous issues and preferences, enabling it to provide more relevant assistance in future interactions.