Multi-Agent Orchestrator

The Multi-Agent Orchestrator is an open-source framework designed to manage and coordinate multiple AI agents for complex conversational tasks. It excels at intelligently routing queries, maintaining context across interactions, and enabling sophisticated team coordination among specialized agents. Built for flexibility, it offers pre-built components and integrates seamlessly with custom agents and data storage solutions, making it suitable for a range of applications from simple chatbots to complex AI systems. Its unique SupervisorAgent facilitates advanced teamwork, allowing a lead agent to orchestrate specialized agents in parallel while maintaining conversational coherence.

This framework appeals to developers and organizations seeking to build robust, scalable AI solutions involving multi-turn, multi-domain conversations. It provides a modular architecture allowing for selective installation of components including out-of-the-box AWS, Anthropic, and OpenAI integrations. The system is readily customizable using either Python or TypeScript. With the provided documentation and examples, users can quickly deploy sophisticated AI workflows that leverage a variety of powerful agents. The active community welcomes contributions through various channels for support, ideas and showcasing creative implementations.