Awesome GitHub RepositoriesAI Integration Architectures

This project provides a framework for managing multi-agent systems, designed to automate complex software development, infrastructure, and business workflows. It functions as a multi-agent workflow orchestrator that routes tasks to domain-specific workers while maintaining state persistence and infrastructure automation. By leveraging large language models, the system decomposes high-level objectives into actionable plans, ensuring that complex operations are executed with consistency and reliability. The framework distinguishes itself through its hierarchical agent registry and policy-driven

This framework provides a set of architectural principles and design patterns for building production-ready autonomous agents. It focuses on structuring automated systems that maintain consistent execution, manage complex internal states, and support reliable error recovery through a state machine-based methodology. The system distinguishes itself by integrating human-in-the-loop orchestration directly into automated workflows. By incorporating manual oversight and validation checkpoints, it ensures safety and accuracy during critical decision-making processes. The framework also emphasizes d

This project is an AI software architecture library and reference framework for building applications powered by large language models. It provides a collection of reusable structural templates and modular code samples designed to organize complex artificial intelligence workflows. The framework emphasizes code-first documentation, using executable source code and verified reference implementations as the primary means of explaining feature implementation. It includes interactive prototyping playgrounds for testing prompts and configurations before they are integrated into a production codeba