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 hyp1231 · Agent Tool · ★ 2.3k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is awesome-llm-powered-agent safe to install? View the security audit →
Awesome LLM-Powered Agent Thanks to the impressive planning, reasoning, and tool-calling capabilities of Large Language Models (LLMs), people are actively studying and developing LLM-powered agents. These agents are possible to autonomously (and collaboratively) solve complex tasks, or simulate human interactions. Our goal with this project is to build an exhaustive collection of awesome resources relevant to LLM-powered agents encompassing papers, repositories, and more. We strive to keep these updated regularly and continuously. We greatly appreciate any contributions via PRs, issues, emails, or other methods. Note that this repository is not under active maintenance. It mainly contains papers that appear before Oct. 2023, with several further papers. If you would like to have your paper included, please feel free to initiate a pull request. Papers Autonomous Task Solver General Reasoning & Planning & Tool Using Multi-Agent Cooperation [Framework & Open-Source](#framework--open-sou
| Stars | 2,256 |
| Forks | 230 |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 50.9624801952756/100 |
| Open Issues | 72 |
| Last Updated | 2025-04-30 |
| Created | 2023-07-25 |
| Est. Tokens | ~12k |
These tools work well together with awesome-llm-powered-agent for enhanced workflows:
Looking for a awesome-llm-powered-agent alternative? If you're comparing awesome-llm-powered-agent 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.
A curated list of Generative AI tools, works, models, and references
A curated list of awesome resources, tools, and other shiny things for LLM prompt engineering.
RAI is a vendor agnostic agentic framework for Physical AI robotics, utilizing ROS 2 tools to perform complex
This is the repository for the Tool Learning survey.
A curated list of 120+ LLM libraries category wise.
TalkToFigma: MCP integration between AI Agent (Cursor, Claude Code, Codex) and Figma, allowing Agentic AI to c
Explore other popular agent tool tools:
awesome-llm-powered-agent is Awesome things about LLM-powered agents. Papers / Repos / Blogs / .... It is categorized as a Agent Tool with 2.3k GitHub stars.
You can find installation instructions and usage details in the awesome-llm-powered-agent GitHub repository at github.com/hyp1231/awesome-llm-powered-agent. The project has 2.3k stars and 230 forks, indicating an active community.
awesome-llm-powered-agent is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to awesome-llm-powered-agent on Agent Skills Hub include awesome-generative-ai, awesome-gpt-prompt-engineering, rai. 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: