🛠️ Agent Harness Generator: Meta-Scaffolding for AI Agents

This project acts as a scaffolding tool specifically for generating AI agents. In short, it tries to standardize the agent development process. It allows you to quickly spin up a focused agent environment complete with its own npx CLI, MCP server, memory modules, and learning loops. The hard part of agent development is not writing the LLM API call, but giving the agent persistent memory, a secure sandbox, and standard interfaces. It supports tools like Claude Code and Codex, and even mentions hardware-isolated sandboxes (RVM), which is a notable technical detail for security. While the project is still early in its star count, this "meta-harness" approach aligns perfectly with the current trend of treating AI agent development as a structured, modular engineering discipline.