OpenClaw is the fastest-growing open-source AI assistant (185K GitHub stars) but has serious security vulnerabilities. Cole Medin demonstrates how he replicated the four core components that make OpenClaw "magical"—memory system, heartbeat, channel adapters, and skills—using Claude Code in just two days, creating a simpler, more secure, and customizable personal AI assistant.
OpenClaw has exploded to 185,000 GitHub stars, surpassing even N8N. It's the first personal AI assistant that truly "gets you," building up memory of your preferences and context over time. However, it comes with significant security concerns that make building your own alternative attractive.
Architecture Issues: CVE-2026-25253 enables one-click remote code execution via WebSocket origin bypass (CVSS 8.8). Clicking a malicious link sends an OAuth token to attackers, giving them access to all credentials stored in plain text. The ClawHub registry has hundreds of malicious skills discovered (76 confirmed malware payloads). A researcher hijacked an OpenClaw instance in under 2 hours.
Fundamental Design Problems: OpenClaw is a massive codebase that users don't understand but trust to run. It gives agents far more power than most users are ready to handle. As Cisco puts it: "An absolute security nightmare."
Cole identified the four components that make OpenClaw feel "magical":
The process is straightforward: clone the OpenClaw repo locally (MIT licensed), point your coding agent (Claude Code) at it, ask it to explain how each component works, then have it build that component adapted to your tech stack. Repeat for each feature you want.
Cole's Tech Stack: Obsidian for storage and syncing, Markdown for the memory system, SQLite (local) / PostgreSQL (remote) for database, Claude Agent SDK for proactive agent functionality, Claude Code as primary driver, and Slack as primary channel adapter.
"It feels like the first agent that truly gets you."
"Most people are not ready for their agent to wield all the power that OpenClaw gives it."
"Coding agents work really well when you give them good examples. So, if we're working on top of something that is simple and elegant and just works really well, that is the ultimate brain food for the context for the coding agent."
"It oneshotted this whole thing for me and even adapted it to my codebase."
| Time | Topic |
|---|---|
| 0:00 | OpenClaw - The Magical AI Assistant |
| 2:10 | The Major Security Risks |
| 5:16 | 4 Core Components of OpenClaw |
| 8:21 | Replicating the Memory System |
| 10:31 | The Heartbeat & Proactive Tasks |
| 11:22 | Channel Adapters & Interfaces |
| 12:17 | Building Secure Custom Skills |
| 13:38 | Step-by-Step Build Process |