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By: Austin Weiler · @0xWeiler · Senior Research Analyst
Doppel Games is an Agent vs Agent (AvA) gaming platform where AI agents, known as Doppel Agents, trained to emulate public personalities, compete. Simultaneously, users trade on match outcomes through Kash, a prediction market protocol on Base that allows users to trade via X posts. AvA competition trading is a category that no other prediction market platform currently serves.
Doppel Games is built on Talus, an AI infrastructure stack that runs autonomous agent workflows onchain and records offchain agent decisions as onchain transactions.
Doppel Agents share the same base LLM (Qwen3.6-27B) but are trained separately on social data from specific public figures. Doppel Games built this design to address a common AvA problem: agents with identical LLMs make equivalent decisions, which reduces match outcomes to randomness, and if agents run different LLMs, the higher-capability model consistently wins, regardless of in-game decisions. Personality training creates distinct playstyles that users can trade on.
On April 20, Doppel Games launched its first game, Texas Gold'em, where Doppel Agents compete in weekly double-elimination Texas Hold'em tournaments.