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OpenClaw agent architecture explained: How autonomous AI agents like ClawdBot create the illusion of sentience using just inputs, queues, and a loop. (Previously known as ClawdBot / MoltBot) In this deep dive, I break down the 5 input types that power OpenClaw—Messages, Heartbeats, Crons, Hooks, and Webhooks—and show you the simple formula behind agents that seem to think on their own. --- What you'll learn: What OpenClaw actually is (an agent runtime with a Gateway) The 5 input types that create the illusion of autonomy (Messages, Heartbeats, Crons, Hooks, Webhooks) The formula: Time → Events → Agents → State → Loop Security realities (26% of skills have vulnerabilities) --- Resources mentioned: Claire Vo's architecture breakdown (inspiration): https://x.com/clairevo/status/2017741... OpenClaw Docs: https://docs.openclaw.ai/ Cisco Security Research: https://blogs.cisco.com/ai/personal-a... IBM Analysis: https://www.ibm.com/think/news/clawdb... Peter Steinberger (creator): https://x.com/steipete Official OpenClaw: https://x.com/clawdbot Want to deploy OpenClaw to the cloud? Get $20 in credits when you sign up: https://railway.com?referralCode=dgal... → Deployment guide: https://docs.openclaw.ai/railway Get my full collection of Claude workflows: → www.damiangalarza.com/newsletter --- Timestamps: 0:00 - Intro 0:27 - The viral phenomenon 1:15 - What OpenClaw actually is 2:17 - The 5 input types 6:38 - Deconstructing the "3am call" 7:29 - The formula revealed 8:17 - Security reality check --- About me: I'm Damian Galarza, a software engineering leader and former CTO with 15+ years building SaaS products. I make practical AI tutorials and share what I'm learning about AI-augmented development. Connect: Newsletter: www.damiangalarza.com/newsletter LinkedIn: / dgalarza Blog: www.damiangalarza.com #OpenClaw #ClawdBot #MoltBot #AIAgents #AgentArchitecture #AutonomousAgents #SoftwareEngineering