惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

月光博客
月光博客
博客园_首页
J
Java Code Geeks
量子位
小众软件
小众软件
雷峰网
雷峰网
IT之家
IT之家
cs.CV updates on arXiv.org
cs.CV updates on arXiv.org
cs.CL updates on arXiv.org
cs.CL updates on arXiv.org
PCI Perspectives
PCI Perspectives
酷 壳 – CoolShell
酷 壳 – CoolShell
S
Secure Thoughts
博客园 - 叶小钗
C
Cybersecurity and Infrastructure Security Agency CISA
T
ThreatConnect
Last Week in AI
Last Week in AI
罗磊的独立博客
博客园 - 司徒正美
T
Tenable Blog
S
Security Archives - TechRepublic
freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More
Recent Commits to openclaw:main
Recent Commits to openclaw:main
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
李成银的技术随笔
AWS News Blog
AWS News Blog
The Hacker News
The Hacker News
P
Privacy & Cybersecurity Law Blog
F
Future of Privacy Forum
N
News and Events Feed by Topic
博客园 - 【当耐特】
V
Vulnerabilities – Threatpost
T
Tor Project blog
C
Cisco Blogs
L
Lohrmann on Cybersecurity
Malwarebytes
Malwarebytes
T
Tailwind CSS Blog
V
V2EX
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
博客园 - 三生石上(FineUI控件)
有赞技术团队
有赞技术团队
大猫的无限游戏
大猫的无限游戏
人人都是产品经理
人人都是产品经理
钛媒体:引领未来商业与生活新知
钛媒体:引领未来商业与生活新知
爱范儿
爱范儿
宝玉的分享
宝玉的分享
L
LINUX DO - 热门话题
阮一峰的网络日志
阮一峰的网络日志
L
LINUX DO - 最新话题
The Register - Security
The Register - Security
博客园 - Franky

The New Stack | DevOps, Open Source, and Cloud Native News

Anthropic’s $300M Stainless deal lands hardest on OpenAI and Google How MCP and synthetic data are reshaping compliance in the agentic era What Anthropic and OpenAI launched in 72 hours has Wall Street paying attention JetBrains is selling independence as the rest of AI coding picks sides Three ways operational debt will break your AI strategy, and how to recover I buried 20 problems in a fake P&L to see if Claude for Small Business could find them Why enterprise AI keeps stalling — and how data streaming could unlock it JFrog report recaps a tumultuous year in supply chain security Kore counts down to Artemis, its moonshot for governable AI agents How to build your first end-to-end AI workflow in n8n CI wasn’t built for coding agents. Here’s what comes next. “Morally repugnant shortsightedness”: Why open source security leaders say companies must stop freeloading on maintainers After becoming cloud computing’s telemetry standard, OpenTelemetry graduates into the AI infrastructure era Building the agentic agreement enterprise: How developers are unlocking agentic experiences with Docusign’s MCP server and platform Cut your AI search costs without sacrificing quality NanoCo bets the future of enterprise AI is one sandboxed agent per employee Why six AI labs built the same product for knowledge workers in four months LLMs were trained on an inaccessible web — AudioEye data shows AI is still building one Cursor bets on cheaper coding with Composer 2.5 and Kimi K2.5 At Google I/O 2026, Antigravity gets a new job description Anthropic hires OpenAI co-founder Andrej Karpathy to lead Claude pre-training research Google launches $100 AI Ultra plan and cuts top tier to $200 Google’s Gemini 3.5 Flash beats the frontier models Google now lets developers use GPT and Claude in Android Studio Google wants to make the web agent-ready Google now lets you vibe code native Android apps in AI Studio Valkey just had a 17x year. Its lead maintainer still doesn’t want Redis to die. Anthropic debuts MCP tunnels and self-hosted sandboxes to lock down AI agent infrastructure Why production RAG systems give confident, wrong answers at scale Steve Yegge’s AI agent orchestration project Gas Town comes to the cloud — and brings the Wasteland with it Pulumi bets infrastructure’s next decade belongs to AI agents Why Google’s Remy leaks have enterprise architects rethinking the AI stack GitHub will start paying some bug bounty hunters in swag instead of cash AI security readiness is now the No. 1 obstacle to adoption, Linux Foundation finds The Mac mini just became infrastructure The cleanup cost of AI-generated code GitHub takes aim at Claude Code and Codex with its new Copilot app Forward deployed engineer is AI’s hottest job as OpenAI and Google race to hire. Here’s how to become one. Why Block handed Goose to the Linux Foundation AWS found bugs in 60% of software requirements. Its fix isn’t more AI — it’s a 50-year-old logic engine. The software fix that could shrink AI’s energy bill without new hardware Why AI is failing in the security operations center The hidden cost of build vs. buy for agentic AI in regulated industries OpenAI brings Codex to the ChatGPT mobile app Cloud code: Conductor joins rush toward remote coding agents GitLab is betting a 19th-century economic theory will shape its AI era Anthropic splits billing again: Agent SDK gets separate credit pools The Rust sidecar pattern that fixes Python AI’s biggest weakness Fivetran’s CPO: Closed data stacks won’t survive the agent era MinIO’s MemKV promises 95% better GPU utilization by ending AI recompute tax Red Hat’s skill packs give AI agents something a bigger model never could: 20 years of institutional memory Anthropic’s Claude Code agent view is a better dashboard. So why aren’t developers convinced? OpenAI’s Daybreak and Anthropic’s Glasswing have nearly identical benchmarks — and 3 of the same partners I tested OpenAI’s three claims about GPT-5.5 Instant, and only one fully held up Temporal hits 3,000 paying customers with its crash-proof workflow engine Cloud native application challenges: installing the walking skeleton Cimento emerges from stealth to secure the one thing no firewall can protect Why agent harnesses fail inside cloud-native systems How to build a skills library for your engineering team Why enterprise AI needs customization The new FinOps problem isn’t cloud bills Jensen Huang and Bill McDermott bet on OpenShell to secure enterprise AI agents The API portal is the clearest signal of whether your company can handle AI agents AI is creating a generation of developers who can’t debug their own code Red Hat is betting on AgentOps to close the gap between AI experiments and production AI teams are spending months on web scrapers that SerpApi replaces with one API call Living off the agent: The new tactic hijacking enterprise AI SAP launches managed Joule Studio with Cursor and Claude Code support SAP launches AI Agent Hub at Sapphire 2026 to tame vendor agent sprawl As agentic dev tools boom, workflow auditability becomes the constraint Anthropic’s Claude Platform comes to AWS Anthropic trains Claude to resist blackmail & self-preservation behavior via agentic misalignment How AI-native systems are built Why your AI agent doesn’t actually remember anything Why 157,000 developers are hedging against Anthropic with OpenCode Claude can now follow users across Outlook, Word, Excel, and PowerPoint Why Prometheus couldn’t see Cilium metrics at 2 a.m. Anthropic puts the “myth” in Mythos with its HackerOne bug bounty program The attack surface moved inside the agent. So did Arcjet. Tanzu Platform’s 15-year head start meets the AI moment Datadog and T-Mobile leaders reveal the reality of deploying AI agents in production How Anthropic and Elon Musk cornered Sam Altman this week OpenAI Codex arrives in the browser with new Chrome extension “Several known limitations”: Developers react to Cursor’s promising but still-moving SDK AI startups are scrambling to survive in big tech’s shadow “The terminal still matters”: Amp rebuilds its CLI for an agentic future beyond the command line Anthropic recruited SpaceX’s 220,000-GPU Colossus 1 to fix what Claude users kept complaining about How Microsoft is governing thousands of Kubernetes clusters without manual intervention Temporal reveals serverless option for its Durable Execution platform OpenAI brings GPT-5-level reasoning to its speech models Elastic architects reveal how to query observability data in plain English I tested the new OpenAI Codex features on a real Python codebase, and it’s the strongest Claude Code rival yet GitHub builds an immune system for AI coding agents running on MCP With the launch of Meko, Yugabyte targets the data layer that’s breaking multi-agent AI systems The introverts’ edge: How AI is leveling the developer floor How a Cursor AI agent wiped PocketOS’s production database in under 10 seconds Why long-running AI agents break on HTTP and how Ably is fixing it Anthropic will let its managed agents dream Developers will use whatever AI coding tool they want. ServiceNow is building for that reality. Why Atlassian is letting Claude Code into its own data graph
OpenClaw passed 300,000 GitHub stars. Then Google launched Spark.
Janakiram MS · 2026-05-23 · via The New Stack | DevOps, Open Source, and Cloud Native News

OpenClaw made the always-on agent feel personal by making it live somewhere you could point at — a Mac mini on a shelf, drawing seven watts, running while you sleep. Peter Steinberger’s open-source project surpassed 300,000 GitHub stars by April and became one of the fastest-growing repositories on GitHub. The whole appeal was ownership: your hardware, your credentials, your lobster.

On Tuesday at I/O, Google launched Gemini Spark, and it makes the opposite bet. Spark is a 24/7 personal agent built on Gemini 3.5 Flash and connected to Google’s Antigravity agent stack. It runs in the background on virtual machines on Google Cloud. You never see the machine. Google plans to let you text and email the agent directly, so it works while your laptop is shut.

The split is about where the agent lives, not what it does

Strip away the branding, and Spark and OpenClaw do roughly the same job. Watch an inbox, draft the status update, browse the web, run the recurring task. Both are converging on MCP for tool connectivity, though the implementations differ in maturity. Both promise the assistant who does things rather than answers questions.

The substrate decides who holds your context, who sees your credentials, and who can change the terms later.

The difference is the substrate. OpenClaw runs on the metal you bought. Spark runs on metal Google rents to you and never names. That sounds like a deployment detail. It is actually the whole argument. The substrate decides who holds your context, who sees your credentials, and who can change the terms later.

Convenience usually wins this fight, and Google knows it

The self-hosted version asks for real work. Buy the Mac mini, keep it awake, install a daemon, set up Tailscale, and rotate the key when it expires. The reward is control. Your credentials and workflows can stay under your own hand, depending on how you wire up models and integrations. That control is not the same as safety. A misconfigured local agent with shell, browser, and inbox access is its own hazard, and Chinese regulators have already flagged exactly that risk with OpenClaw.

Spark asks for nothing. It is already inside Gmail, Docs, and Sheets, with no manual wiring, because Google owns both ends. That out-of-the-box reach is the structural advantage no third-party agent can copy. The history here is fairly settled. Dropbox beat the home NAS. Gmail beat the mail server. Managed nearly always beats self-hosted for the median user, because most people will trade control for not having to think about it.

OpenClaw is not losing. It is being sorted into the smaller, stickier half.

So the personal-agent layer splits in two. A hosted tier where Google, and soon OpenAI, own the runtime and the context. A self-hosted tier for developers who want the credentials on their own hardware and will pay for the setup time. OpenClaw is not losing. It is being sorted into the smaller, stickier half.

The privacy bargain here is not the one Dropbox asked for

This is where I would slow down before calling the race. Cloud storage won because the thing you handed over was inert. Files sat in a Dropbox folder, and nobody read them. A personal agent is of a different kind. To be useful, Spark needs broad standing access to your Gmail, Docs, Sheets, calendar, and live inbox. It does not just store your context. It reads it to act on it.

That changes the deal. Handing Google a folder of files is not the same as handing Google a system that processes your job, your relationships, and your calendar well enough to send mail on your behalf. The honest version of the worry is not that Google keeps your data. It is the unsettled gap between access, retention, and what trains the next model.

The self-hosted camp is small today, but that’s not because of nostalgia for running your own server. It is the instinct that an agent this intimate should answer to you, on hardware you can unplug. That instinct does not scale to everyone. It does not have to. It only has to hold the developers and the privacy-sensitive, and that is a durable floor.

The question for developers is not which agent is better. It is whether you are comfortable with Google holding the keys to the one that runs your life.

TRENDING STORIES

Group Created with Sketch.