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 ai4co · Agent Tool · ★ 290
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is reevo safe to install? View the security audit →
[NeurIPS 2024] ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution 🥳 Welcome! This is a codebase that accompanies the paper ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution. Give ReEvo 5 minutes, and get a state-of-the-art algorithm in return! Table of Contents 1\. News 📰 2\. Introduction 🚀 3\. Exciting Highlights 🌟 4\. Usage 🔑 4.1. Dependency 4.2. To run ReEvo 4.3. Available problems 4.4. Simple steps to apply ReEvo to your problem 4.5. Use Alternative LLMs 5\. Citation 🤩 6\. Acknowledgments 🫡 News 📰 Sep. 2024: ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution has been accepted at NeurIPS 2024 🥳 May 2024: We release a new paper version Apr. 2024: Novel use cases for Neural Combinatorial Optimization (NCO) and Electronic Design Automation (EDA) Feb. 2024: We are excited to release ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution 🚀 Introduction 🚀 We
| Stars | 290 |
| Forks | 62 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 62.436846195758/100 |
| Last Updated | 2026-01-24 |
| Created | 2023-11-20 |
| Platforms | python |
| Est. Tokens | ~1811k |
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reevo is [NeurIPS 2024] ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution. It is categorized as a Agent Tool with 290 GitHub stars.
reevo is primarily written in Python. It covers topics such as ant-colony-optimization, automatic-algorithm-generation, bin-packing-problem.
You can find installation instructions and usage details in the reevo GitHub repository at github.com/ai4co/reevo. The project has 290 stars and 62 forks, indicating an active community.
reevo is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to reevo on Agent Skills Hub include Awesome-LLM-Reasoning-with-NeSy, Awesome-Graphs-Meet-Agents, free-ai-resources-x. 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: