No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by vyokky · Agent Tool · ★ 231
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is LLM-Brained-GUI-Agents-Survey safe to install? View the security audit →
Large Language Model-Brained GUI Agents: A Survey   Welcome to the repository accompanying our survey paper on Large Language Model-Brained GUI Agents. This repository contains the code for the searchable paper page and the assets used in the paper. LLM-Brained GUI Agents are: Intelligent agents that operate within GUI environments, leveraging Large Language Models (LLMs) as their core inference and cognitive engine to generate, plan, and execute actions in a flexible and adaptive manner. 📖 Read the Paper: Large Language Model-Brained GUI Agents: A Survey 📚 Cite Our Work If you find our work useful, please consider citing: bibtex @article{zhang2024large, title={Large
| Stars | 231 |
| Forks | 15 |
| Language | CSS |
| Category | Agent Tool |
| Quality Score | 62.9800454743011/100 |
| Open Issues | 2 |
| Last Updated | 2025-06-23 |
| Created | 2024-11-14 |
| Platforms | browser |
| Est. Tokens | ~100k |
These tools work well together with LLM-Brained-GUI-Agents-Survey for enhanced workflows:
Looking for a LLM-Brained-GUI-Agents-Survey alternative? If you're comparing LLM-Brained-GUI-Agents-Survey with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
AI handles execution, humans own the direction, and every run becomes an inspectable research artifact on disk
AI handles execution, humans own the direction, and every run becomes an inspectable research artifact on disk
TPAMI 2026 | This repository collects awesome survey, resource, and paper for lifelong learning LLM agents
Awesome LLM Papers and repos on very comprehensive topics.
A banchmark list for evaluation of large language models.
A desktop MCP client designed as a tool unitary utility integration, accelerating AI adoption through the Mode
Explore other popular agent tool tools:
LLM-Brained-GUI-Agents-Survey is GitHub page for "Large Language Model-Brained GUI Agents: A Survey". It is categorized as a Agent Tool with 231 GitHub stars.
LLM-Brained-GUI-Agents-Survey is primarily written in CSS. It covers topics such as agent, gui, llm.
You can find installation instructions and usage details in the LLM-Brained-GUI-Agents-Survey GitHub repository at github.com/vyokky/LLM-Brained-GUI-Agents-Survey. The project has 231 stars and 15 forks, indicating an active community.
The top alternatives to LLM-Brained-GUI-Agents-Survey on Agent Skills Hub include AutoR, AutoR, awesome-lifelong-llm-agent. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: