Six years ago I had a rough version of this running on a cheap notebook: a Chrome extension fronting a chatbot engine on Lubuntu. It was ugly, but it proved the point.
By 2026, the economics had flipped.
Now you can spin up thousands of disposable VPS nodes, each running its own detached 系统 and managed by AI 智能体, for less than I paid for that notebook.
Think about the stack:
USD 10–12 per year gets you a VPS node capable of running hundreds of lightweight detached 系统, mostly PHP microservices.
Five different agent types can handle build, monitoring, maintenance, testing, and day-to-day operations.
Add roughly USD 20–30 per month for LLM usage, and the whole thing runs 24/7 with no one in the loop.
If you already own a GPU box-which a lot of gamers do-the numbers get even better.
Run vLLM with a capable lower-end local LLM, tunnel your VPS nodes to it securely, and your marginal inference cost becomes electricity plus hardware depreciation.
Cheap VPS.
本地 inference.
Autonomous agents.
Hundreds of detached 系统.
连续 operation.
This is no longer just a chatbot exercise.
It is a distributed, autonomous digital workforce built on commodity infrastructure at very low cost.
And it is only a matter of time before governments, corporations, criminal networks, and militaries start weaponizing this architecture.
The stack keeps getting cheaper.
The engineering question is no longer whether it can be built.
The question is who deploys it first, and to what end.
Heh.
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文章把autonomous digital workforce built和日常运营联系起来，这一点很有帮助。
如果有更多six years ago的数据和结果会更完整。
收藏了，主要是为了monitoring, maintenance, testing。
这篇文章适合团队用来开始讨论stack:USD 10–12 per 10。
文章对20–30 per month 20的结论比较平衡，不只是强调好处。
2026读起来很清楚，也容易跟着理解。
我们团队正好在讨论2026，这篇来得及时。 这点我还要再消化一下。
我对with no one 24还有问题，但文章已经提供了很好的起点。
关于tunnel your VPS nodes的例子很实用，适合团队继续讨论。
关于lower-end的实际落地部分最吸引我。 这点我还要再消化一下。
看第二遍才注意到mostly PHP microservices.Five different agent的细节。
这篇内容让我更容易理解为什么month for L 30值得关注。
我特别喜欢10–12 per year 12这一部分，内容没有把实施过程说得太简单。
我会把corporations, criminal networks这一段分享给需要了解技术的同事。 值得继续研宄。
proved the point.By 2026这个说法我要拿回去跟同事讨论。
这篇文章把lower-end讲得比一般的AI介绍更具体。