cua logo
cua
★ 30.7k
vs
code-act logo
code-act
★ 1.7k

cua vs code-act

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.; code-act: CodeAct unifies LLM agents' actions into an executable code space, enabling dynamic revision and new actions based on execution results. This approach significantly outperforms traditional text and JSON action methods, improving LLM agent success rates on complex tasks.

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.
code-act logo
code-actLLM Infra · ★ 1.7k

Developing Advanced LLM Agents: For researchers and developers aiming to build more capable and robust LLM agents that can interact dynamically with environments.

02

Side-by-Side Comparison

Field
cua logocua
code-act logocode-act
Category
LLM Infra
LLM Infra
Stars
★ 30.7k
★ 1.7k
License
MIT
MIT
Install Command
curl -fsSL https://cua.ai/install.sh | sh
pip install -r requirements.txt
Updated
1d ago
2y ago
Open Source
Yes
Yes
Tags
AI Agents, Virtualization, UI Automation
LLM Agents, Code Execution, Instruction Tuning
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.
code-act logocode-act
01Unified Action Space via Executable Code: Consolidates LLM agents' actions into a unified, executable code space.
02Dynamic Action Revision: Allows LLM agents to dynamically revise prior actions or emit new actions based on real-time observations.
03Integrated Python Interpreter: Seamlessly integrates with a Python interpreter for code execution.
04Superior Performance: Outperforms widely used alternatives like Text and JSON in LLM agent success rates (up to 20% higher).
05Instruction-Tuned Agents (CodeActAgent): Provides pre-trained CodeActAgent models (Mistral, Llama-2) that excel in out-of-domain agent tasks.
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.
code-act logocode-act
↳Developing Advanced LLM Agents: For researchers and developers aiming to build more capable and robust LLM agents that can interact dynamically with environments.
↳Automated Code Execution and Problem Solving: For scenarios requiring LLMs to execute code, debug, and iterate on solutions based on execution feedback.
↳Complex Task Automation: For automating multi-turn, complex tasks that benefit from dynamic action revision and tool use.
05

Best For

cua logocua
Most PopularEssentialTrending
code-act logocode-act
—
FAQ

FAQ

What is the difference between cua and code-act?
Both cua and code-act are in the LLM Infra category. cua has 30.7k stars, while code-act has 1.7k stars.
Which is better, cua or code-act?
The best choice depends on your use case. Choose cua if Developing and deploying AI agents for autonomous desktop interaction and task completion., and code-act if Developing Advanced LLM Agents: For researchers and developers aiming to build more capable and robust LLM agents that can interact dynamically with environments..
Is cua free or open source?
Yes, cua is open source on GitHub (MIT).
Is code-act free or open source?
Yes, code-act is open source on GitHub (MIT).
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