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

Dev.to / 4/25/2026

💬 OpinionDeveloper Stack & InfrastructureTools & Practical UsageIndustry & Market Moves

Key Points

  • The article describes how to run an autonomous 24/7 AI agent system on a low-cost VPS, citing a Hetzner setup running at about €3.9 per month.
  • It uses the OpenClaw MIT agent framework, the DeepSeek V4 Pro model via NVIDIA NIM API, and Playwright with Python for browser automation, all wrapped in Docker for isolation.
  • The agent performs multiple recurring tasks automatically, including posting to 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 as a cost-effective choice for agent workloads, emphasizing a large (1M) tested context window and dual “Think/Non-Think” modes, and claims it is significantly cheaper than alternatives.
  • As a result, the system reportedly packaged 89 AI productivity guides and sells them on autopilot, with the author providing setup playbooks and asking readers what they are building.

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://yanmiay.gumroad.com

What automation are you building?