Awesome Infra for AI › Workflow Orchestration for AI

dynamiq-ai/dynamiq

⭐ 1071 Python repository created 2024-09-26

Dynamiq is a comprehensive Gen AI framework designed to facilitate the development and deployment of AI-powered applications. It focuses on the orchestration of Retrieval-Augmented Generation (RAG) and Large Language Model (LLM) agents, enabling developers to build complex AI systems with ease. The framework provides tools for defining LLM nodes, configuring connections to various LLM providers (like OpenAI), and integrating external tools such as the E2B Code Interpreter for enhanced agent capabilities. Dynamiq supports both parallel and sequential execution of agents through its Workflow feature, allowing for intricate application logic and data flow management. It abstracts away much of the complexity involved in managing multiple LLMs and agents, making it suitable for creating sophisticated AI applications, from simple LLM calls to multi-step, tool-augmented intelligent agents. The framework emphasizes a structured approach to agent development, enabling users to define agent roles, capabilities, and dependencies within a workflow.

https://github.com/dynamiq-ai/dynamiq

LLM orchestrationagent frameworkRAGmulti-agent systemsAI workflowGen AILLM applications