cua
★ 30.7k
vs
cap-evolve
★ 66
cua vs cap-evolve
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.; cap-evolve: cap-evolve is an honesty-guaranteed framework that optimizes AI agent capabilities like prompts, tools, and skills by learning from failed evaluation traces. It automates the loop of evaluation, diagnosis, candidate generation, and validation, ensuring improvements are significant and honest.
01
TL;DR
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.
cap-evolveLLM Infra · ★ 66
Optimizing AI agent capabilities when developing with Claude Code plugin.
02
Side-by-Side Comparison
Field
cuacap-evolveCategory
LLM Infra
LLM Infra
Stars
★ 30.7k
★ 66
License
MIT
Apache-2.0
Install Command
curl -fsSL https://cua.ai/install.sh | sh
git clone https://github.com/skillberry-ai/cap-evolve.git && cd cap-evolve && python3 -m venv .venv && source .venv/bin/activate && pip install ./core
Updated
1d ago
1d ago
Open Source
Yes
Yes
Tags
AI Agents, Virtualization, UI Automation
AI Agent Optimization, Prompt Engineering, Tool Code Optimization
03
Features
cua01Build 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.
cap-evolve01Optimizes more than prompts, including executable tool code and entire skill packages.
02Learns from real agent failures and per-task causal feedback to make robust improvements.
03Ensures honest evaluation through a significance gate and a sealed, scored-once test split.
04Provides a dashboard to inspect every change, cost, timing, diff, and pass/fail heatmap.
04
Use Cases
cua↳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.
cap-evolve↳Optimizing AI agent capabilities when developing with Claude Code plugin.
↳Integrating and refining agents from various coding-agent hosts like Codex, Gemini, or Droid.
↳Custom integration for developers who want to wire their own agent adapters and drive the CLI directly.
↳Applying pre-built adapter templates for popular benchmarks and data formats (e.g., JSONL, HuggingFace, tau2-bench).
05
Best For
cuaMost PopularEssentialTrending
cap-evolve—
FAQ
FAQ
What is the difference between cua and cap-evolve?
Both cua and cap-evolve are in the LLM Infra category. cua has 30.7k stars, while cap-evolve has 66 stars.
Which is better, cua or cap-evolve?
The best choice depends on your use case. Choose cua if Developing and deploying AI agents for autonomous desktop interaction and task completion., and cap-evolve if Optimizing AI agent capabilities when developing with Claude Code plugin..
Is cua free or open source?
Yes, cua is open source on GitHub (MIT).
Is cap-evolve free or open source?
Yes, cap-evolve is open source on GitHub (Apache-2.0).
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