I figured out the best way to run OpenClaw

· Source: Matthew Berman · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Software Development & Engineering, Cybersecurity & Data Privacy · Depth: Intermediate, extended

Summary

Claudebot is presented as a highly capable and personal AI assistant that integrates various services like Gmail, Telegram, Asana, and Slack to automate tasks. The setup process is detailed, recommending deployment on a Virtual Private Server (VPS) via Hostinger for ease, security, and constant availability, with a promotional discount code "MatthewB" offered. The core architecture involves several .md files defining its personality (soul.md), interaction style (identity.md), skills, tools (e.g., fetch.js for Asana integration), memory, and scheduled tasks (heartbeat.md, cron jobs). Advanced features include sophisticated model selection (e.g., Claude Sonnet 4.5 as primary, Gemini 3 Flash as fallback), the ability to delegate complex coding tasks to external agents like Cursor Agent, and multimedia capabilities. Security best practices emphasize API key storage in .env files, regular security audits, hosting environment isolation, caution with "dirty data" and external skills, frequent updates, mindful integrations, and a "propose before action" mode.

Key takeaway

For MLOps Engineers or AI Chatbot Developers seeking to deploy a highly customizable and secure personal AI assistant, consider Claudebot on a VPS. Its modular architecture, advanced model routing, and integrated security features like prompt injection detection and isolated hosting can significantly enhance automation while mitigating common risks. You should prioritize configuring its core files and integrating low-risk tools first, then gradually expanding capabilities with a focus on security audits and mindful data exposure.

Key insights

Claudebot offers a customizable, integrated AI assistant experience with robust automation and security features.

Principles

Method

Deploy Claudebot on a VPS, configure personality and skills via .md files, integrate services, and manage tasks through chat interfaces, leveraging model routing and scheduled cron jobs.

In practice

Topics

Best for: AI Chatbot Developer, Software Engineer, MLOps Engineer

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Editorial summary, takeaway, and curation by AIssential. Original article published by Matthew Berman.