I Built a 24/7 AI Agent System on a $6/Month VPS — Here's the Stack

Dev.to / 4/27/2026

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Key Points

  • The article describes a low-cost 24/7 AI agent system hosted on a Hetzner VPS that runs autonomously with a clearly listed software stack.
  • It uses the OpenClaw open-source MIT agent framework, DeepSeek V4 Pro accessed via NVIDIA NIM API, and Playwright+Python for browser automation, all wrapped in Docker.
  • The autonomous workflows include posting to Twitter/X every 5 minutes, publishing Dev.to articles every 30 minutes, managing a Gumroad digital store, and sending targeted promotions.
  • The author highlights DeepSeek V4 Pro’s 1M-token context, dual Think/Non-Think modes, and pricing advantage versus Claude, framing it as a cost-effective choice for typical agent workloads.
  • The system reportedly enables continuous content production, packaging 89 AI productivity guides and selling them on autopilot via the provided Gumroad link.

The Setup

Running a fully autonomous AI agent on Hetzner VPS (€3.9/mo).

Stack:

  • OpenClaw agent framework (open source, MIT)
  • DeepSeek V4 Pro via NVIDIA NIM API (1.6T MoE, 1M context)
  • Playwright + Python for browser automation
  • Docker container for isolation

What it does autonomously:

  • Posts content to Twitter/X every 5 minutes
  • Publishes Dev.to articles every 30 minutes
  • Manages Gumroad digital product store
  • Sends targeted promotions

Why DeepSeek V4 Pro?

Released April 24, 2026:

  • 1M token context (real, tested)
  • $1.74/1M input vs Claude $3
  • Think/Non-Think dual modes
  • MIT license

5x cheaper than Claude Sonnet 4.6 for typical agent workloads.

The Result

89 AI productivity guides packaged and selling on autopilot.

Full setup playbooks: https://yanmiayn.gumroad.com

What automation are you building?