【环球网科技综合报道】6月26日消息，谷歌近日宣布推出Gemini CLI（命令行界面）工具，将AI问答、内容生成等功能集成至开发者的终端界面，旨在通 过人工智能技术简化开发流程，提升开发效率。 为推动生态共建，谷歌按Apache 2.0宽松许可证开源Gemini CLI，鼓励开发者在GitHub平台参与项目贡献。在使用政策上，免费用户每分钟可发起60次模型 请求，每日限额1000次，远超开发者平均使用量的两倍。 据谷歌介绍，该工具搭载自研的Gemini 2.5 Pro推理模型，支持高达100万个token的超大上下文窗口，可处理海量信息；同时与Gemini Code Assist代码助手深 度整合，内置模型上下文协议（MCP）并接入谷歌搜索功能。从应用场景看，开发者不仅能将其用于编程工作，还可在内容创作、任务管理、问题解决等 多领域发挥其AI能力。 自今年4月推出Gemini 2.5 Pro模型以来，谷歌AI技术已获开发者广泛关注，甚至带动Cursor、GitHub Copilot等第三方AI编程工具的应用热潮。此次推出自研 工具，体现了谷歌加强与开发者直接连接的战略意图。值得注意的是，Gemini CLI ...

官方还着重提醒： Gemini CLI写码很强，但不只能拿来编程哦。 调用一下Veo和Imagen，在命令行里搞视频生成，也就是一句话的事： 消息一出，讨论度立刻爆炸，GitHub仓库标星也一夜狂飙至10.8k。 鱼羊 发自 凹非寺 量子位 | 公众号 QbitAI 开源且免费 ！谷歌对编程Agent出手了。 推出 Gemini CLI ，让你在终端里就能访问Gemini，并且提供" 业界最高免费限额 "： 100万上下文窗口的Gemini 2.5 Pro，每分钟允许60次模型请求，每天的上限则是1000次。 有网友干脆给Cursor打出了RIP。 而对于更直接能拿来对标的Claude Code和OpenAI Codex CLI，更是一句免费盖过所有（doge）。 简而言之，这回家大业大的谷歌，实属"壕"气干云，下血本了。 命令行里用Gemini 来看一下Gemini CLI的详细情况。 官方介绍，其能力涵盖代码理解、文件操作、命令执行和动态故障排除等诸多方面。 简单来说，有了Gemini CLI，大家就可以在命令行里用自然语言指挥Gemini模型写代码、Debug了。 更具体的应用实例包括，编码方面： 工具 ...

金十数据6月26日讯，今天凌晨，谷歌(GOOG.O)在官网开源了AI Agent框架Gemini CLI，直接将Gemini 大模型融入到终端中。Gemini CLI最大亮点之一就是可以直接调用，谷歌最新发布的视频模型Veo和图 像模型Imagen，同时集成了MCP、谷歌搜索、自定义自动化等众多实用功能。也可以调用谷歌专业AI 开发助手Gemini Code Assist，来编写代码、修复BUG、迁移代码等。目前，Gemini CLI刚刚开源，但 在Github已经超过9000颗星。 （AIGC开放社区） 谷歌开源AI Agent框架Gemini CLI ...

Core Insights - Both Microsoft and Google are focusing on AI at their respective conferences, with Microsoft emphasizing the development of an open agent network and Google showcasing its Gemini AI operating system [1][8] - Microsoft aims to attract B2B developers by providing a robust agent infrastructure, while Google targets C-end users with innovative AI applications [12][8] Microsoft Focus - Microsoft presented a more mature agent infrastructure at Build 2025, aiming to create an Open Agentic Web for collaboration across various business processes [1][3] - The company is targeting B2B enterprises and developers, offering a range of tools including Windows AI Foundry and Azure AI Foundry to facilitate AI model development [4][5] - Microsoft has reported that 15 million developers are using GitHub Copilot, which enhances coding efficiency and is now capable of bug fixing and code maintenance [5][6] - The introduction of the Model Context Protocol (MCP) aims to create an open agent network, allowing for complex task execution and integration with various applications [6][7] Google Focus - Google is focusing on enhancing C-end user experiences with AI, showcasing advancements in its Gemini model and various AI applications across its product ecosystem [8][9] - The launch of Gemini 2.5 Pro positions Google as a strong competitor in the large model market, with new capabilities in video and image processing models [8][9] - Google plans to integrate Gemini's capabilities into its core products, including AI-enhanced search and Chrome browser functionalities, aiming to improve user interaction with AI [9][10] Domestic Market Observations - Domestic giants like Alibaba, Tencent, and ByteDance are actively pursuing AI strategies but lack a clear guiding framework similar to Microsoft and Google [2][12] - Alibaba is leveraging its strengths in large models and cloud services for B2B applications, while Tencent is focusing on C-end product innovation [12][13] - ByteDance is exploring AI hardware and multi-modal capabilities but faces challenges in transitioning its C-end offerings to the AI era [13][12]

Core Viewpoint - Google is reaffirming its leadership in the AI industry through significant advancements and new releases showcased at the Google I/O 2025 developer conference, emphasizing the importance of AI in its future strategy [2][61]. Group 1: AI Model Developments - The Gemini 2.5 Pro model has shown outstanding performance in academic benchmarks and is now a leading model in the WebDev Arena and LMArena rankings [8][12]. - New features introduced for Gemini 2.5 Pro and 2.5 Flash include native audio output for more natural conversations, advanced security measures, and enhanced computational capabilities [9][15]. - The Gemini Diffusion model utilizes diffusion technology to improve inference speed and control, achieving a token generation speed of 10,095 tokens every 12 seconds, which is five times faster than previous models [16][18]. Group 2: Programming Tools Enhancements - Google introduced Jules, an asynchronous coding assistant that integrates with existing codebases, allowing users to focus on other tasks while it performs coding operations [21]. - The Gemini Code Assist has been upgraded to support more customization options and now offers a context window of 2 million tokens for complex tasks [23]. - Statistics show that Gemini Code Assist can increase the success rate of developers completing common tasks by 2.5 times [24]. Group 3: Video and Image Generation Models - The new video generation model Veo 3 can generate videos with audio, enhancing the quality of video content creation [29][30]. - Imagen 4 offers exceptional detail and clarity in image generation, supporting various aspect ratios and high resolutions up to 2k [35]. Group 4: Search and Shopping Innovations - Google has upgraded its AI Overviews feature in search, now covering over 200 countries and supporting more than 40 languages, improving user satisfaction and search frequency [47][48]. - A new AI shopping experience combines Gemini capabilities with Shopping Graph, allowing users to virtually try on clothing by uploading photos [56][59]. Group 5: Future Vision and Strategic Direction - Google aims to expand Gemini into a universal AI assistant capable of managing daily tasks and enhancing user productivity, with ongoing innovations in video understanding and memory features [19][60]. - The company is positioning itself to lead in the AI-driven era, showcasing its commitment to shaping a more intelligent and interconnected world through advanced AI applications [61].

图片来源： Unsplash 5 月 16 日 ， OpenAI 宣布推出其迄今为止最强大的 AI 编程 Codex 的研究预览版。Codex 由 codex-1 驱动，这是该公司专为软件工程任务优化的 o3 AI 推理模型版本。 OpenAI 表示， codex-1 生成的代码比 o3 "更清晰"，能更精准地遵循指令，并会迭代运行测试直至 代码通过。 Codex 运行在云端沙盒化的虚拟计算机中。 通过与 GitHub 连接， Codex 的环境可预先加载您的代码 仓库。 OpenAI 称，该 AI 编码代理撰写简单功能、修复漏洞、回答代码库相关问题及运行测试等任 务耗时从 1 分钟到 30 分钟不等。 OpenAI 表示， Codex 能同时处理多项软件工程任务，且在运行时不会限制用户访问其计算机和浏览 器。 用户打开 Codex 时所见界面： 图片来源： OpenAI Codex 即日起向 ChatGPT Pro 、企业版及团队版订阅用户开放。 OpenAI 表示初期用户将享有 " 慷慨 的使用权限 " ，但未来几周内公司将对该工具实施速率限制。 OpenAI 发言人向 TechCrunch 透露， 届时 ...