Minimax 推出 MaxClaw2 月 26 日，Minimax 团队发文介绍了 MiniMax Agent Expert 的功能升级，以及全新推出的 AI 助手 MaxClaw。MiniMax 在 Expert 2.0 中进一步优化了专家 Agent 的创建体验。用户不需要考虑 Skill、SubAgent、MCP 的配置，以及提示词的结构编排，只需用自然语言描述任务目标或能力需求，Agent 会根据目标完成 SOP 梳理、工具编排与能力配置。
In the live game, every API call that affected the player’s inventory triggered a write to the corresponding record in our Azure Cosmos database. From a player’s perspective, the game is constantly saving their progress. To achieve parity in the offline game, we exposed two functions in the AOT DLL for getting and setting a player’s inventory (equivalent to the Cosmos DB inventory document). When the game first starts up, the local save file on disk is read and the inventory is loaded into the DLL’s memory. As the various serverless HTTP operations occur throughout gameplay the DLL’s in-memory inventory state gets updated. After these operations, if the inventory was changed, the client fetches the new full inventory state from the DLL and saves it back to disk.
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