- Introduces short‑term and long‑term memory for agents, enabling context‑aware, personalized conversations without managing memory infrastructure.
- Adds a policy layer that converts natural‑language rules into Cedar for fine‑grained, centralized control over agent‑tool interactions.
- Provides a managed harness allowing agents to be declared via configuration and launched with minimal API calls, removing the need for custom orchestration code.
Amazon Bedrock AgentCore adds memory, policy, and harness in AWS GovCloud (US-West)
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