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

Agentic development hinges on verification. For cloud-native software, that is a runtime problem. AI agents need infrastructure: Why Europe’s regional cloud strategy matters Transform your AI coding agent into a deterministic Java Spring expert WeAreDevelopers is coming to the US to give unsung developers a bigger voice Cleaner AI training data, fewer bugs: Sonar’s SonarSweep explained Observability overload is drowning engineers Google’s DiffusionGemma is 4x faster than its other Gemma models Fable 5: Guardrails and burn rate are annoying users, who say it’s still better than Opus 4.8 The Anthropic leader who built Claude Code says he ditched prompting — now he just writes loops. AWS can now mathematically prove your VMs are isolated Microsoft pulled 73 GitHub repos after malware attack — but still won’t say who’s compromised Databricks wants to kill the “email me a file” problem for AI agent skills Ramp bets forward deployed engineers can do what off-the-shelf finance AI can’t Git real: AI agents aren’t just for solo developers anymore Anthropic launches Claude Mythos/Fable 5, but you better try it soon Spring is 23 years old. AI just made it a security emergency. This AI agent startup ditched Anthropic for DeepSeek — and says it’s saving millions When your data model is the bottleneck: lessons from Medium’s feature store How long before we stop reading the code? The tokenmaxxing party is over, and Revenium is mopping up How AI is solving the memory crunch it created Microsoft’s pitch to enterprises: Ditch Azure Repos for GitHub, despite its rocky reliability record Claude Code’s biggest upgrade yet ran 5 agents at once — here’s what happened Why Anthropic just doubled Claude Cowork limits at no charge For years, Apache Cassandra handed this work to your team — 6.0 takes it back “A dangerous combination”: The 2 factors that can “corrupt” AI agent workflows With Foundry, Microsoft bets the enterprise AI battle is about reliability, not capability Microsoft unlocks Visual Studio for developers left behind by its own AI AI teams now deploy 1,000 times a month. Your pipeline wasn’t built for that. Microsoft just made the agent runtime free — and kept everything around it
OpenClaw passed 300,000 GitHub stars. Then Google launche...
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.

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