Ag2

AG2 (formerly Microsoft AutoGen, now maintained by the ag2ai community) is a Python framework for building multi-agent AI systems where multiple LLM-powered agents collaborate, debate, and execute tasks autonomously. The v0.4 rewrite introduced an async-first, event-driven architecture that makes AG2 one of the most capable frameworks for complex conversational agent pipelines in 2026. What Is AG2 (AutoGen v0.4) and Why It Matters in 2026 AG2 is an open-source Python framework that enables developers to build networks of LLM-powered agents that communicate with each other through structured message passing to solve complex tasks collaboratively. Originally released as Microsoft AutoGen, the project transitioned to the independent ag2ai organization in November 2024 with over 54,000 GitHub stars and millions of cumulative downloads. The v0.4 release was a complete architectural redesign — not an incremental update — focused on async-first execution, improved code quality, robustness, and scalability for production workloads. In 2026, AG2 powers document review pipelines at enterprise scale, code generation workflows in CI/CD systems, and research automation for data teams. The framework supports Python 3.10 through 3.13 and integrates with OpenAI, Anthropic, Google Gemini, Alibaba DashScope, and local models via Ollama. What makes AG2 distinctive is its conversation-centric model: agents don’t just call tools — they argue, critique, refine, and reach consensus through structured dialogue, which is fundamentally different from how LangGraph or CrewAI approach orchestration. ...