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

Dev.to / 4/28/2026

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Key Points

  • The article explains how the author deployed a 24/7 autonomous AI agent on a low-cost Hetzner VPS (€3.9/month) using an open-source agent framework (OpenClaw).
  • The agent stack combines DeepSeek V4 Pro accessed via NVIDIA NIM API with Playwright/Python browser automation, wrapped in Docker for isolation.
  • It runs continuous workflows including posting to Twitter/X every 5 minutes, publishing Dev.to articles every 30 minutes, managing a Gumroad store, and sending targeted promotions.
  • The author highlights DeepSeek V4 Pro’s features (notably a tested 1M-token context and dual think/non-think modes) and claims it is about 5x cheaper than Claude Sonnet 4.6 for typical agent tasks.
  • The result is reported as 89 AI productivity guides packaged and sold “on autopilot,” with a full setup playbook linked for replication.

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?