AgentIndex icon
AgentIndex
cua logo
cua
★ 30.7k
vs
claude-code-source-all-in-one logo
claude-code-source-all-in-one
★ 91

cua vs claude-code-source-all-in-one

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.; claude-code-source-all-in-one: This repository extracts the source code of Anthropic's Claude Code CLI for educational study. It includes 18 deep-dive articles analyzing the architecture, covering core agent loop, tool orchestration, context compression, and more. The source can be run locally for learning purposes.

01

TL;DR

cua logo
cuaLLM Infra · ★ 30.7k
When to choose:
  • 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.
When to skip:
  • 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.
Read cua full review →
claude-code-source-all-in-one logo
claude-code-source-all-in-oneLLM Infra · ★ 91

Studying production-level AI agent architecture and design decisions

Read claude-code-source-all-in-one full review →
02

Side-by-Side Comparison

Field
cua logocua
claude-code-source-all-in-one logoclaude-code-source-all-in-one
Category
LLM Infra
LLM Infra
Stars
★ 30.7k
★ 91
License
MIT
—
Install Command
curl -fsSL https://cua.ai/install.sh | sh
node scripts/setup.mjs
Updated
1d ago
4mo ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
AI Agents, Virtualization, UI Automation
ai-agent, ai-coding, anthropic
03

Features

cua logocua
01Build AI agents for desktop UI automation and interaction.
02Provide isolated code execution environments (sandboxes).
03Benchmark computer-use models with standardized tasks.
04Train agents using reinforcement learning environments.
05Manage high-performance macOS/Linux VMs on Apple Silicon.
claude-code-source-all-in-one logoclaude-code-source-all-in-one
01Extracted production-grade AI agent source code
02Loop-over-graph architecture with while(true) agent loop
03Recursive sub-agent orchestration with inherited features
04Four-layer context compression for long sessions
05Immutable messages to optimize prompt caching costs
04

Use Cases

cua logocua
↳Developing and deploying AI agents for autonomous desktop interaction and task completion.
↳Creating secure, isolated code execution environments for AI coding assistants and development workflows.
↳Benchmarking and training computer-use agents using standardized tasks and reinforcement learning.
claude-code-source-all-in-one logoclaude-code-source-all-in-one
↳Studying production-level AI agent architecture and design decisions
↳Learning advanced engineering patterns for tool orchestration and context management
↳Experimenting with Claude Code internals in a controlled environment
05

Best For

cua logocua
Most PopularEssentialTrending
claude-code-source-all-in-one logoclaude-code-source-all-in-one
—
FAQ

FAQ

What is the difference between cua and claude-code-source-all-in-one?
Both cua and claude-code-source-all-in-one are in the LLM Infra category. cua has 30.7k stars, while claude-code-source-all-in-one has 91 stars.
Which is better, cua or claude-code-source-all-in-one?
The best choice depends on your use case. Choose cua if Developing and deploying AI agents for autonomous desktop interaction and task completion., and claude-code-source-all-in-one if Studying production-level AI agent architecture and design decisions.
Is cua free or open source?
Yes, cua is open source on GitHub (MIT).
Is claude-code-source-all-in-one free or open source?
Yes, claude-code-source-all-in-one is open source on GitHub.
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