cua
★ 30.7k
vs
llmcore
★ 50
cua vs llmcore
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.; llmcore: LLMCore is a Qt/C++ library that provides a unified streaming API for multiple LLM providers (Claude, OpenAI, Ollama, Google AI, llama.cpp) and implements client and server for the MCP 2025-11-25 specification. It supports streaming chat, tool calling, and MCP transports like stdio and HTTP.
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.
llmcoreLLM Infra · ★ 50
Build custom LLM chat applications
02
Side-by-Side Comparison
Field
cuallmcoreCategory
LLM Infra
LLM Infra
Stars
★ 30.7k
★ 50
License
MIT
MIT
Install Command
curl -fsSL https://cua.ai/install.sh | sh
git clone https://github.com/Palm1r/llmcore.git
Updated
1d ago
1w ago
Open Source
Yes
Yes
Tags
AI Agents, Virtualization, UI Automation
claude, google, mcp
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.
llmcore01Unified streaming API for six LLM providers
02Full MCP client and server implementation (2025-11-25)
03Streaming chat and tool calling
04MCP transports: stdio and Streamable HTTP
05Support for tools, resources, prompts, and more in MCP
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.
llmcore↳Build custom LLM chat applications
↳Integrate MCP tools into LLM clients
↳Expose tools and resources via MCP protocol
05
Best For
cuaMost PopularEssentialTrending
llmcore—
FAQ
FAQ
What is the difference between cua and llmcore?
Both cua and llmcore are in the LLM Infra category. cua has 30.7k stars, while llmcore has 50 stars.
Which is better, cua or llmcore?
The best choice depends on your use case. Choose cua if Developing and deploying AI agents for autonomous desktop interaction and task completion., and llmcore if Build custom LLM chat applications.
Is cua free or open source?
Yes, cua is open source on GitHub (MIT).
Is llmcore free or open source?
Yes, llmcore is open source on GitHub (MIT).
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