Google发布Gemini Agent，支持多模型编排与持久化执行
Great to be with 700+ @googlecloud customers at the historic NASA Hangar One for…
Google正式推出企业级Agent产品，明确多模型编排与持久化记忆能力，对AI应用落地有重要参考价值。
Great to be with 700+ @googlecloud customers at the historic NASA Hangar One for Gemini at Work!
在具有历史意义的 NASA Hangar One 与 700 多位 @googlecloud 客户共同见证 Gemini at Work，令人振奋！
Today, we introduced the new Gemini agent, a single, universal agent for work that has all of your business context and answers your questions, handles your knowledge work, creates your images and media, and writes and runs code - all from a single prompt box. It is connected to your personal workflows, your systems of record, and your enterprise controls.
今天，我们推出了全新的 Gemini 智能体（agent），这是一个面向工作的单一通用智能体，拥有您的所有业务上下文并能回答您的问题、处理知识工作、创建图像和媒体内容，以及编写和运行代码——所有这些功能均通过一个提示框实现。它已连接到您的个人工作流、记录系统以及企业控制策略。
It’s built around a few core architectural principles:
其构建围绕几个核心架构原则展开：
Unified Agent: Gemini can answer questions, do knowledge work and generate code from a single prompt box.
统一智能体：Gemini 能够通过单个提示框回答问题、执行知识工作并生成代码。
Access: Gemini is web-based and can be accessed from any device and integrated into third-party applications. It can also operate without a dedicated user interface.
访问方式：Gemini 基于 Web，可从任何设备访问并集成到第三方应用程序中。它也可以在无需专用用户界面的情况下运行。
Persistent Execution: It runs in the cloud, which means it maintains a single set of memories, context and one personalization graph no matter where you access it.
持久化执行：它在云端运行，这意味着无论您在何处访问，它都维护着一套统一的记忆、上下文和个人化图谱。
Multi-Agent Orchestration: Gemini can create sub-agents to tackle multi-step tasks and can also act as a coworker agent with a defined role and its own dedicated identity
多智能体编排：Gemini 可以创建子智能体以应对多步骤任务，也可以作为具有明确角色及其专属身份的同僚智能体发挥作用。
Context: Gemini knows your tools, data, and work history and learns how you work the more you use it. Model Choice Flexibility: It orchestrates across multiple models to deliver optimal quality and lower your costs.
上下文感知：Gemini 了解您的工具、数据和过往工作历史，并且随着使用量的增加，它会学习您的工作方式。 模型选择灵活性：它能够跨多个模型进行编排，以提供最佳质量并降低您的成本。
Read more in our blog: https://cloud.google.com/blog/products/ai-machine-learning/welcome-to-gemini-at-work-2026
在我们的博客中阅读更多内容：https://cloud.google.com/blog/products/ai-machine-learning/welcome-to-gemini-at-work-2026
更进一步：量化金融体系
看懂新闻只是起点——沿量化金融路径，把它变成能交付的工程能力