Multi-Agent Orchestrator

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SKU: multi-agent-orchestrator
The Multi-Agent Orchestrator is an open-source framework developed by AWS Labs, designed to manage multiple AI agents and handle complex conversations efficiently. It intelligently routes user queries to the most suitable agent based on context and content, maintaining coherent dialogues across multiple domains. With dual language support in Python and TypeScript, it offers pre-built components for quick deployment and allows easy integration of custom agents and conversation message storage solutions. Key features include intelligent intent classification, flexible agent responses supporting both streaming and non-streaming interactions, and seamless coordination of multiple AI agents within a single system.
open-source AI agent management conversational AI multi-agent systems framework
Developing AI applications that require coordination among multiple specialized agents.
Implementing complex conversational systems with intelligent query routing.
Creating scalable AI solutions capable of maintaining context across various interactions.
Integrating custom AI agents into existing workflows with minimal effort.
The Multi-Agent Orchestrator demonstrates high autonomy through its automated routing logic, context-aware classification (using LLMs to analyze user requests and conversation history), and independent agent processing with isolated conversation histories. It handles conversation storage dynamically across sessions and supports autonomous retries/error escalation via distributed system principles. However, its autonomy is constrained by design flexibility: users must manually configure agent descriptions to avoid overlaps, customize classifiers/agents for specialized tasks, and implement fallback mechanisms for edge cases. While agents operate independently during execution, initial setup and complex scenario handling still require human oversight.
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