cua vs harnessrouter
cua: Cua is an open-source platform designed for building, benchmarking, and deploying AI agents capable of interacting with any computer. It provides isolated, self-hostable sandboxes using technologies like Docker, QEMU, and Apple Vz for agentic UI automation and secure code execution.; harnessrouter: HarnessRouter provides a unified infrastructure layer that transforms various agent harnesses (like Codex and Claude Code) into plug-and-play backends, enabling products to run tasks, retrieve results, and switch between harnesses via a single API. It implements the Unified Harness Protocol (UHP) and offers an OpenAI Responses-compatible API for managing persistent sessions, streaming progress, files, and task lifecycle without complex harness engineering.
TL;DR
- You are building Computer-Use agents and need robust, self-hostable isolated desktop/VM sandboxes (Docker, QEMU, Apple Vz).
- You need native app operating drivers, standardized benchmarking harnesses, and secure isolation for autonomous agent task execution.
- You only need simple UI macros on your personal physical machine (Windows-MCP or local desktop helpers are easier).
- Your agents interact solely via text APIs, shell commands, or databases and have no need for a virtual graphical desktop.
Integrating diverse agent backends into a single product API
Side-by-Side Comparison
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