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Multi-Agent Orchestrator
AWS Labs
Flexible framework for managing multiple Artificial Intelligence agents and handling complex conversations
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Closed Source
Freemium

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Closed Source
Freemium
About Multi-Agent Orchestrator

The Multi-Agent Orchestrator is an AWS-developed framework designed to manage multiple Artificial Intelligence agents and orchestrate complex conversations. It intelligently routes queries to the most suitable agent, maintains conversational context, and integrates with various environments. The platform supports both streaming and non-streaming responses, offering pre-built components for quick deployment while allowing easy integration of custom agents

AI Categories
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Workflow Automation
AI agents that streamline repetitive processes.
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Task Automation
AI tools that automate repetitive tasks.
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Data Integration Agents
AI systems dedicated to consolidating and managing data from multiple sources.
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AI Agents
Self-governing AI systems designed to autonomously plan, coordinate, and perform complex tasks.
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Agent Development
AI tools that assist developers in designing, building, and deploying other AI agents.
Key Features
Intelligent intent classification for dynamic query routing
Dual language support (Python and TypeScript)
Flexible agent responses (streaming and non-streaming)
Context management across multiple agents
Extensible architecture for easy integration of new agents
Universal deployment (AWS Lambda
local environment
cloud platforms)
Pre-built agents and classifiers
Use Case
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Process Automation
Automate repetitive workflows with AI for efficiency.
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Multi-Agent Systems
Coordinate multiple AI agents across tasks for efficiency.
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Data Processing
Handle and transform large datasets with AI tools.
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AI-Powered Workflows
Automate workflows to optimize processes like task management and reporting.
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Integration Methods
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Web Application
AI agents integrated with web applications for advanced features and better UX.
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REST API
Standard integration using REST APIs for direct access to data.
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GitHub Integration
Direct GitHub integration to enhance workflows and version control.
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Docker Container
Containerized integration with Docker for scalable deployment.
API
API
Facilitate smooth data exchange and functionality via APIs.
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