Ag2 is an open-source Python framework for building, orchestrating, and scaling multi-agent AI systems, enabling production-ready coordination of multiple specialized AI agents.
Ag2 is an open-source Python framework designed for building, orchestrating, and scaling multi-agent AI systems. It provides a structured way to coordinate multiple specialized agents, tools, and models so they can collaborate on complex workflows, from research and analysis to code generation and operations. Built by the creators of AutoGen, Ag2 focuses on production-grade reliability, observability, and extensibility for real-world deployments.
At its core, Ag2 offers abstractions for defining agents, specifying their roles and capabilities, and managing multi-step conversations and task flows between them. It supports integration with a variety of LLMs and tools, enabling agents to call external APIs, run code, access data sources, and share intermediate results. The framework includes orchestration patterns such as hierarchical controllers, supervisor-worker setups, and tool-using assistants, along with configuration-driven workflows that can be versioned and reused. Robust logging, tracing, and error-handling features help teams monitor and debug multi-agent interactions at scale.
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