AgentFlow provides a system for optimizing in-the-flow agentic AI, meaning it trains and refines agents during their operational lifecycle rather than just at design time. The framework supports multi-agent systems with LLM-based reasoning and integrates tool-augmented capabilities. It includes a Gradio demo, published research on arXiv, and model weights on Hugging Face.