Guidance For Multi Agent Orchestration On Aws
Description
Enables developers to build, deploy, and manage multiple specialized agents that work together to tackle complex workflows. Each agent focuses on a specific task, breaks down processes into manageable steps, assigns tasks to the appropriate agents, and ensures accurate, and reliable outcomes.
Installation
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open the source below and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
README
Multi-agent Collaboration (Customer Support Assistant)
Table of Contents
- Overview
- Key Objectives
- Use Case: Intelligent Customer Support
- Agents Involved
- Runtime Chatbot
- Architecture Design
- Demo Scope
- Getting started
- Cost
- Model access
- Pre-Requisites
- Setup
- Clone repo & install dependencies
- Bootstrapping Account
- Setup website
- Run webapp locally
- Deploy Webapp to Amazon Cloudfront
Overview
This project focuses on developing and implementing robust multi-agent collaboration capabilities for Amazon Bedrock Agents. The goal is to enhance the platform's ability to handle complex, real-world business scenarios that require coordinated efforts across specialized AI agents. Multiple agents will gather information from various datasources by using semantic search, and creating SQL queries from natural language to fetch data from databases. Click [here](https://aws.storylane.io/share/otdlltvd8jz7) if interested in
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