How to Build AI Agent Wrappers: Tools, Memory, Safety & Orchestration

Here is a practical guide to building wrappers for AI agents.

It helps you understand what turns a “bare” language model into an agent by breaking down the wrapper components: tool execution, memory, context gathering, safety boundaries, planning, and multi-agent orchestration.

It starts with the very basics and a 50-line Python example you can copy and run. The practical sections cover sandboxes, skills, sub-agents, error handling, and designing long-lived wrappers. It also includes a comparison of OpenClaw, Claude Code, Codex, Cline, Aider, and Cursor.