什么是 AutoGen？

Data science has entered the 'Agentic Era,' shifting the focus from manual procedural execution to the evaluation and supervision of autonomous AI agents. These agents use a 'Perceive-Reason-Act-Evaluate' loop to handle data cleaning, EDA, and tuning, evolving the data scientist's role from an executor of 'how' to a decision-maker of 'whether'.

Production-grade Agent Harness cannot be solved by framework selection alone; it must systematically handle 15 core responsibilities (e.g., policy, approval, budget, trace), each implemented as an installable, versioned, language-agnostic worker.

In 2026, LangChain and AutoGen lead the agentic frameworks market, but new entrants compete fiercely — choose based on project needs.