cua
★ 30.7k
vs
lm
★ 121
cua vs lm
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.; lm: Houtini LM connects Claude Code to a local LLM, offloading bounded tasks like boilerplate generation, code review, and commit messages to a free, private local model, while Claude handles complex reasoning. It tracks token savings and supports various local LLM backends.
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.
lmLLM Infra · ★ 121
Generate boilerplate, test stubs, and documentation
02
Side-by-Side Comparison
Field
cualmCategory
LLM Infra
LLM Infra
Stars
★ 30.7k
★ 121
License
MIT
MIT
Install Command
curl -fsSL https://cua.ai/install.sh | sh
npx -y @houtini/lm
Updated
1d ago
1w ago
Open Source
Yes
Yes
Tags
AI Agents, Virtualization, UI Automation
ai-agents, claude-mcp, code-generation
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.
lm01Offload bounded tasks to a local LLM via Claude Code
02Token tracking with session footer for cost visibility
03Compatible with multiple local LLM backends (LM Studio, Ollama, vLLM, etc.)
04Streaming responses with 55-second soft timeout to avoid client-side timeouts
05Multiple specialized tools (chat, custom_prompt, code_task, discover, list_models)
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.
lm↳Generate boilerplate, test stubs, and documentation
↳Perform code review, explanation, and format conversion
↳Draft commit messages and brainstorm approaches
05
Best For
cuaMost PopularEssentialTrending
lm—
FAQ
FAQ
What is the difference between cua and lm?
Both cua and lm are in the LLM Infra category. cua has 30.7k stars, while lm has 121 stars.
Which is better, cua or lm?
The best choice depends on your use case. Choose cua if Developing and deploying AI agents for autonomous desktop interaction and task completion., and lm if Generate boilerplate, test stubs, and documentation.
Is cua free or open source?
Yes, cua is open source on GitHub (MIT).
Is lm free or open source?
Yes, lm is open source on GitHub (MIT).
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