PowerMem provides persistent, self-evolving memory for AI agents through a two-layer Experience and Skill distillation architecture. It combines 4-way hybrid retrieval (vector, full-text, graph, and time-decay) with LLM auto-merge capabilities to enable agents to maintain long-term context and learn from interactions. The system supports multi-agent isolation, user profiles, and multimodal signals including text, image, and audio.