Build agents to learn from experiences using Amazon Bedrock AgentCore episodic memory

Today, most agents operate only on what’s visible in the current interaction: they can access facts and knowledge, but they can’t remember how they solved similar problems before or why certain approaches worked or failed. This creates a significant gap in their ability to learn and improve over time. Amazon Bedrock AgentCore episodic memory addresses this limitation by capturing and surfacing experience-level knowledge for AI agents. Although semantic memory helps an agent remember what it knows, episodic memory documents how it arrived there: the goal, reasoning steps, actions, outcomes, and reflections. By converting each interaction into a structured episode, you can enable agents to recall knowledge and interpret and apply prior reasoning. This helps agents adapt across sessions, avoid repeating mistakes, and evolve their planning over time.

Amazon Bedrock AgentCore Memory is a fully managed service that helps developers create context-aware AI agents through both short-term memory and ...