  Diplomacy is one of the most sophisticated activities in human society. The
complex interactions among multiple parties/ agents involve various abilities
like social reasoning, negotiation arts, and long-term strategy planning.
Previous AI agents surely have proved their capability of handling multi-step
games and larger action spaces on tasks involving multiple agents. However,
diplomacy involves a staggering magnitude of decision spaces, especially
considering the negotiation stage required. Recently, LLM agents have shown
their potential for extending the boundary of previous agents on a couple of
applications, however, it is still not enough to handle a very long planning
period in a complex multi-agent environment. Empowered with cutting-edge LLM
technology, we make the first stab to explore AI's upper bound towards a
human-like agent for such a highly comprehensive multi-agent mission by
combining three core and essential capabilities for stronger LLM-based societal
agents: 1) strategic planner with memory and reflection; 2) goal-oriented
negotiate with social reasoning; 3) augmenting memory by self-play games to
self-evolving without any human in the loop.
