Long-Running AI Agents on AgentCore
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Long-Running AI Agents on AgentCore

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โšก 30-Second TL;DR

What changed

Context message strategy

Why it matters

Empowers production-ready AI agents for time-intensive tasks. Improves reliability in extended operations without blocking. Ideal for scalable AI applications.

What to do next

Prioritize whether this update affects your current workflow this week.

Who should care:Developers & AI EngineersPlatform & Infra Teams

This guide details building long-running MCP servers using Amazon Bedrock AgentCore and Strands Agents. It introduces context messaging for continuous communication and async task management. Enables reliable handling of complex operations.

Key Points

  • 1.Context message strategy
  • 2.Async task framework
  • 3.AgentCore-Strands integration

Impact Analysis

Empowers production-ready AI agents for time-intensive tasks. Improves reliability in extended operations without blocking. Ideal for scalable AI applications.

Technical Details

Combines Bedrock AgentCore with Strands Agents for non-blocking processes. Implements persistent client-server communication. Supports complex, long-duration AI workflows.

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Original source: AWS Machine Learning Blog โ†—