Agora-1 将 N64 经典游戏《GoldenEye》转变为可供四人游玩的 AI 模拟
Odyssey 公司发布了世界模型 Agora-1,该模型允许最多四名玩家同时在 AI 生成的虚拟世界中进行行动。该技术已在经典游戏《GoldenEye》上得到验证,其核心是使用两个独立的模型分别实时处理游戏状态模拟与画面渲染。开发团队认为,这项技术未来在协作机器人和 AI 智能体训练领域具有应用潜力。
Agora-1 turns the N64 classic GoldenEye into a playable AI simulation for four players
Key Points
AI lab Odyssey has released Agora-1, a world model that lets up to four players interact simultaneously in an AI-generated GoldenEye environment.
Agora-1 separates simulation and rendering: one model continuously calculates the shared game state, while a second renders an individual perspective for each player in real time.
Odyssey also introduced the interactive audio-video model Starchild-1. The company sees future uses for both technologies in AI agent training and collaborative robotics.
AI lab Odyssey has released Agora-1, a world model that lets up to four players move through an AI-generated game world at the same time. The test environment is the Nintendo 64 classic GoldenEye.
Agora-1 is one of the first multi-agent world simulations. Until now, world models were mostly limited to a single active player. Agora matches up to four players into a shared deathmatch simulation where everyone interacts with the same generated world. Everything they see is created in real time by Agora-1. The model acts as a learned game engine.
Unlike video generators such as OpenAI's Sora or Google's Veo 3, Agora-1 doesn't spit out a fixed clip. Instead, it continuously simulates a game state and renders a separate perspective for each player. Odyssey splits this into two parts: simulation and rendering. One model learns from the game's internal state how the world changes based on player actions.
A second, diffusion-based model learns to turn that shared state into visuals. Because the state is managed explicitly, Agora-1 can also generate new levels without losing the source game's mechanics.
Earlier multi-agent approaches like Multiverse or Solaris struggled mainly when players lost sight of each other, according to Odyssey. Agora-1 aims to deliver consistent views of the same world from multiple angles.