AG2

AG2 is an open-source Python framework designed for building, orchestrating, and evolving systems of AI agents, supporting the development of multi-agent intelligence at scale. The platform introduces the concept of a Universal Agent and provides a universal runtime, called AgentOS, which enables specialized agents to function as a cohesive team rather than isolated entities. AG2 emphasizes interoperability, allowing users to connect agents from AG2 itself as well as from other frameworks such as Google ADK, OpenAI, and LangChain, facilitating the assembly of dynamic teams of specialized personas. Key features of AG2 include unified state management, which maintains a shared state across the lifecycle of tasks, and standardized protocols, specifically A2A and MCPs, with enterprise security integrated. The framework is positioned as both open source at its core and enterprise-ready for larger-scale deployments. AG2 is described as being trusted by enterprise teams and research institutions, and it is backed by research from the creators of AutoGen and StateFlow. The platform provides components such as an Orchestrator for managing agent coordination, a Studio, and support for building applications with multi-agent capabilities. AG2 targets product developers and research teams seeking to create, manage, and scale AI-native organizations or workflows powered by multiple cooperating agents. The framework is available for early access, and its open-source nature is highlighted, though specific licensing terms or pricing details are not provided in the available evidence. AG2 is delivered as a Python framework and is intended for integration into broader AI ecosystems, supporting cross-platform coordination and interoperability among different agent systems. The tool is classified as a multi-agent AI framework and is designed to overcome barriers between disparate AI agents, enabling a unified approach to orchestrating complex, collaborative AI systems.