# Agent Builder vs Bedrock Agent use case
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This solution provides two distinct approaches for working with AI agents, each suited for different use cases and requirements:


| Feature | Bedrock Agent use case | Agent Builder | 
| --- | --- | --- | 
|   **Purpose**   |  Invoke pre-deployed Amazon Bedrock Agents  |  Build, deploy, and manage custom agents  | 
|   **Configuration**   |  Agent ID and Alias ID only  |  Full agent configuration: system prompts, models, MCP servers, memory  | 
|   **Deployment**   |  Simple invocation layer  |  Complete agent lifecycle on AgentCore Runtime  | 
|   **Runtime**   |  Amazon Bedrock Agents service  |  Amazon Bedrock AgentCore with Strands SDK  | 
|   **Tool Integration**   |  Configured in Bedrock Agents console  |  Model Context Protocol (MCP) servers and built in Strands tools  | 
|   **Memory**   |  Managed by Bedrock Agents (up to 30 days)  |  AgentCore Memory with configurable short-term and long-term retention  | 
|   **Customization**   |  Limited to pre-deployed agent settings  |  Full control over prompts, models, tools, and behavior  | 
|   **Best for**   |  Quick deployment of existing agents  |  Custom agent development and production deployments  | 

**Note**  
Both options support real-time streaming, conversation history, and enterprise-grade security.