multi-agent-orchestrator

multi-agent-orchestrator

TLDR: The multi-agent-orchestrator is an open-source framework for orchestrating multiple AI agents to handle complex conversations. It features intelligent intent classification, dual language support, flexible agent responses, context management, extensible architecture, and universal deployment. It comes with pre-built agents and classifiers and offers a variety of examples and quick start guides.

2024-07-23 Github

multiagent-systems-with-autogen

multiagent-systems-with-autogen

TLDR: This repository contains code examples for building multi-agent applications powered by generative AI models based on the AutoGen framework. It is the official code repository for the book 'Multi-Agent Systems with AutoGen' and provides instructions for setting up Jupyter Notebooks and is organized into chapters with code for various concepts discussed in the book.

2024-05-12 Github

applied-ai-engineering-samples

applied-ai-engineering-samples

TLDR: This repository contains reference guides, blueprints, code samples, and hands-on labs related to Applied AI Engineering developed by the Google Cloud Applied AI Engineering team. It includes sections on Generative AI on Vertex AI, Google Cloud AI/ML infrastructure, Research Operationalization, and various solutions catalogs.

2023-08-25 Github