Pawel Huryn · 7 min read · AI & Product
RIP OpenClaw: How I Built a Secure Autonomous AI Agent with Claude and n8n
Read the original on productcompass.pm →
The author pivoted from OpenClaw’s insecure AI agent to Agent One, a secure autonomous AI assistant that runs on a modest VPS with hard security boundaries to protect keys, files, and tools. The article outlines Agent One’s architecture (Manager, Executors, memory, sessions) and a PM-led approach to AI product development, emphasizing transferable skills over tool-specific know-how. It also introduces deployment patterns like the Ralph Wiggum loop to manage multi-step tasks safely.
Key Takeaways
- Security first: hard architectural boundaries (Docker isolation, folder permissions, and tool approval systems) prevent the agent from accessing sensitive data or modifying its environment.
- PM-led AI product approach: you don’t need to code; focus on AI intuition, transferable product sense, and robust design practices to create safe AI products.
- Clear architecture and data handling: a Manager coordinates Executors (VPS and optional Laptop executors), with memory and sessions stored in n8n data tables and no external databases.
- Ralph Wiggum loop for reliable multi-step tasks: the Manager can reset context between iterations while preserving essential session data to maintain task continuity.
- Practical execution details: Agent One runs on a $4.99/month VPS, uses Claude and n8n, and emphasizes explicit tool approvals and sandboxed execution to avoid common OpenClaw vulnerabilities.
Excerpt
At the end of January, OpenClaw went viral — 140K+ GitHub stars for an open-source personal AI agent that runs 24/7, talks to you through WhatsApp or Telegram, has memory, and executes tasks on your machine. I wanted that. But I didn't want OpenClaw As I warned last week , OpenClaw gives an AI agent full access to your environment. Your files, your terminal, your API keys — everything. The "guardrails" are prompt instructions. Any injected prompt can override them. The results: 35,000 emails and 1.5M API keys exposed . The top-downloaded community skill? Malware . So, I built Agent…