Google 推出 Gemini Spark AI 助理對標 OpenClaw：Gemini 3.5 Flash 驅動、24/7 背景執行、整合 Workspace 全家桶

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Google announced Gemini Spark at I/O 2026: a 24/7 AI agent running in the background, powered by Gemini 3.5 Flash, and integrated with the entire Workspace suite and third-party apps via MCP. (Context: Google Search undergoes its biggest transformation in history: Repositioning Search as a one-stop portal for AI agents) (Background: Google launches its most powerful "autonomous agent and coding" model, Gemini 3.5 Flash! Writes an operating system in 12 hours for under $1,000) The official launch of Gemini Spark positions it as an always-on AI agent that continues to run on Google Cloud virtual machines even when the user closes their laptop or phone. The application opens to trusted testers this week, with a beta version expanding to Google AI Ultra subscribers in the U.S. next week, directly challenging OpenClaw. Technically, Spark runs on Gemini 3.5 Flash. Google Lab VP Josh Woodward described the user experience: "It feels like tossing a task over your shoulder, and Spark catches it and gets it done." Specific tasks include drafting emails, creating continuously updated study guides, and scanning credit card statements to identify hidden subscription fees, among other daily administrative tasks. In terms of integration, Spark natively connects to Gmail, Docs, Sheets, and Slides, and uses MCP to link with third-party apps like Canva, OpenTable, and Instacart. It is expected to gain the ability to read local macOS files this summer, bridged via the Gemini app. The future roadmap also includes: interacting with Spark directly via SMS or email, integration with the Chrome browser, and displaying real-time task progress on the new Android interface, "Android Halo." We know that OpenClaw is an open-source, community-hosted AI assistant that anyone can deploy, which is why it became a global phenomenon in such a short time; meanwhile, Spark is currently only available to Google AI Ultra subscribers, and its pricing and subscription terms have not been fully disclosed, limiting its accessibility. Furthermore, another structural issue with the closed subscription model is portability. Spark's task memory and execution state are stored on Google Cloud; if a user cancels their subscription, there has been no public explanation regarding the ownership of data sovereignty. In contrast, open-source agent platforms keep data on infrastructure controlled by the user. The competition for AI agents has entered a binary landscape of "Big Tech closed ecosystems vs. open-source communities." Whether Spark can replicate Gemini's turnaround against ChatGPT in the search market may depend on the actual retention rate of Ultra users over the coming months. If Spark's cloud-resident solution can provide general users with a clear sense of efficiency gains, the subscription barrier will have meaning; if not, open-source alternatives like OpenClaw will serve as a ready-made exit.

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