Complete Agentic Architecture, Memory, Tools & Execution Deep Dive

AI Depth School walks through OpenClaw's internals end to end: the agentic architecture, how memory is organized and persisted, how tools are declared and invoked, and what actually happens during task execution. If you want to understand what the agent is doing under the hood instead of just using it, this is the video to sit down with.

What the Video Covers

The breakdown moves through the four pillars of the system in order. First the agent loop itself — how an incoming message becomes a plan, and how the model alternates between reasoning and acting. Then the memory layer: what gets kept in the working context, what gets written to long-term storage, and how past sessions influence current behavior.

The second half focuses on tools and execution — how skills expose capabilities to the model, how tool calls are validated and run, and where the safety boundaries sit. It's the part most tutorials skip, and it's exactly what you need to know before writing your own skills or debugging why the agent did something unexpected.

Who Should Watch It

This is not a beginner setup guide — there are better videos on this hub for the first install. Watch this one if you already have OpenClaw running and you're at the stage of writing custom skills, tuning memory behavior, or evaluating whether the architecture fits a production use case. Pair it with our own hardware guide and the skills documentation for a complete picture.