AgentWorld: A Data Factory for Training LLM Agents from Multi-Turn Interactions
AgentWorld is a data factory that solves the problem of turning complex, multi-turn interactions from different AI agents into structured training data for LLMs. It uses a Gateway Server and Data Pool to manage the entire lifecycle—from collecting raw interactions to curating and optimizing them—making heterogeneous agent experiences usable for reinforcement learning training.