This paper systematically explores how agentic AI, with its perception, memory, reasoning, and action capabilities, enhances semantic communications for 6G networks. It proposes a unified framework and demonstrates its effectiveness through an agentic knowledge base-based joint source-channel coding case study, showing improved information reconstruction quality.