Latest Open Source Projects
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.
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.
swarms
swarms
TLDR: The swarms repository provides an enterprise-grade production-ready multi-agent orchestration framework. It offers a variety of agent architectures and tools for tasks such as financial analysis, healthcare diagnosis, and task routing. The framework is highly customizable and includes features like sequential and parallel processing, long-term memory integration, and multi-modal capabilities.
llama_index
llama_index
TLDR: LlamaIndex is a data framework for LLM applications. It provides data connectors, ways to structure data, an advanced retrieval/query interface, and easy integrations. It has starter and customized options in Python and comes with important links and an ecosystem including LlamaHub and LlamaLab. Contributions are welcome and full documentation is available.