AgentEvolver is a self-evolving agent training system that unifies self-questioning, self-navigating, and self-attributing into a cohesive framework. It uses reinforcement learning to enable LLM-based agents to autonomously improve their capabilities through continuous training and evolution. The system includes a multi-agent game arena for training and evaluation in social reasoning tasks.