Clawdbot: Advanced Personal AI Assistant Usage
Clawdbot is an innovative personal AI assistant, revolutionizing task automation by seamlessly integrating with services like Gmail, Telegram, Asana, and Slack. It learns continuously, becoming more capable and personalized, enabling users to get real tasks done efficiently.
Setting up Clawdbot is simplified via a Hostinger Virtual Private Server (VPS), offering easy, always-on, and secure operation due to its isolated environment. Hostinger facilitates a one-click install, with a 10% discount available using code MatthewB. Configuration involves inputting API keys (e.g., Anthropic, OpenAI) and connecting to chat interfaces like Telegram.
Core to Clawdbot's functionality are its foundational .md files:
soul.mddefines its personality.skills.mdstores repeatable processes, including custom skills, often referencingtools.jscode snippets for specific actions like fetching Asana data.identity.mdmanages interaction tone.memoryfolder retains learned information.heartbeatruns recurring tasks at set intervals.
Advanced capabilities include sophisticated model selection, defaulting to Claude Sonnet 4.5 for cost-efficiency, with fallbacks like Gemini 3 Flash and Opus 4.5 for complex tasks. Users can dynamically switch models via /model commands. Clawdbot integrates with diverse services (Gmail, Drive, Asana) and can even delegate tasks to other agents like Cursor. Clawhub offers skill inspiration 💡, though caution is advised with third-party skills. Cron jobs enable scheduled tasks, from daily reminders ⏰ to complex recycling schedules. Telegram groups 💬 allow for parallel conversations via topics, optimizing context and memory usage. A daily automated review audits Clawdbot’s own files for efficiency and proposes improvements. Multimedia capabilities extend to image/video generation 🖼️ and voice features.
Security is paramount: VPS isolation prevents local system access. Never store API keys in Git; use a .env file. Regularly run OpenClaw security audit and fix vulnerabilities. Be cautious of "dirty data" from external sources, which can lead to prompt injections ⚠️. Using high-quality models (Opus 4.5) offers better injection detection; update frequently, and prefer Clawdbot to generate its own skills. Implement a "plan mode" for complex actions, requiring Clawdbot to propose steps before execution.
Real-world applications showcase its power: automating video idea pipelines (researching links, creating Asana tasks), tracking YouTube statistics, and preparing for meetings by researching contacts from calendars and emails.
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