Decoding Agent-Core

AWS released Amazon Bedrock AgentCore at the NY Summit. Agent-Core is a comprehensive set of enterprise-grade services that help developers quickly and securely deploy and operate AI agents at scale. This blog post attempts to decode Agent-Core and its capabilities. I will attempt to write individuals blogs for each of Agent-Core capabilities. This blog is set up to outline the challenges with running agents at scale and how Agent-Core helps in addressing these challenges.

Let us begin with what an Agent is.

The official definition is something this — “An agent is anything that can perceive its environment and act upon that environment using data and tools”.

Grounding it, an Agent can dynamically orchestrate a workflow based on the user query, use the data and tools provided to the agent to complete the workflow. In real life we work with agents all the time — real estate agent, Travel agent, Customer service agent…

Let us take 2 scenarios / interactions with a real estate agent.

Scenario 1: You are looking for house with defined constraints (location, size, price…). The real estate agent identifies the steps required to accomplish this task. Step 1 is to access his / her database for houses, filters information based on your constraints. Next step is to use tools at their disposal to they work out median range of houses in the area, collate any additional information that may help you make a decision.