How It Works

Strands Agents and Amazon Bedrock AgentCore enable a multi-agent system with a pipeline consisting of four specialized agents. Each agent has a specific role and collaborates with Amazon Bedrock AgentCore services (Runtime, Gateway, Memory, Observability).

  • Trend Research Agent: Discovers trends from data sources such as social media and GitHub.
  • Analysis Agent: Integrates signals from multiple sources and detects cross-source patterns.
  • Email Generation Agent: Generates personalized emails based on prospect scoring results.

In this architecture, each agent implements its own tools and output validation to ensure overall reliability. (Source: aws.amazon.com)

Building a Video Processing Workflow

The multi-agent video processing workflow using Meta’s Llama 4 model and Amazon Bedrock implements the following steps:

  1. Frame Extraction: Video frames are saved to Amazon S3.
  2. Visual Analysis: The visual_analysis_agent lists frames in the S3 folder and processes images using Llama 4’s multimodal functionality.
  3. Analysis Output: Processing results are uploaded to S3 as JSON files for use by subsequent agents.

Llama 4’s wide context window and multimodal capabilities enable detailed understanding of videos. (Source: aws.amazon.com)

Migration Procedures and Settings

To build a multi-agent system, the following preparations are necessary:

  1. Repository Cloning: 
    git clone https://github.com/aws-samples/sample-multi-agent-social-intelligence-strands-agentcore
  2. Dependency Installation: 
    uv sync
  3. Infrastructure Deployment: 
    cd infra && cdk deploy --all

This procedure allows you to automatically build necessary resources using AWS CDK. If adjustments to setting files or environment variables are required, details are provided in README.md. (Source: aws.amazon.com)

Summary

  • You can build a multi-agent video analysis workflow by combining Strands Agents SDK and Llama 4.
  • Frames saved to Amazon S3 can be processed using Llama 4 and analysis results output in JSON format.
  • AWS CDK enables automatic deployment of infrastructure.
  • Following the setup procedures outlined in the official documentation allows for migration to a production environment.
  • Collaboration between multiple agents automates prospect scoring and personalized email generation.