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 MiroMindAI · Agent Tool · ★ 2.7k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is miroflow safe to install? View the security audit →
🚀 Try Demo ｜ 中文 ｜ 日本語 This repo is the official implementation of the MiroMind Research Agent Project. It is a leading-performance, fully open-source system designed to perform multi-step internet research for addressing complex challenges such as future event prediction. The project currently comprises four key components: 🤖 MiroFlow: an open-source research agent framework that offers r
| Stars | 2,666 |
| Forks | 273 |
| Language | Python |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 61.2445918364277/100 |
| Open Issues | 7 |
| Last Updated | 2026-01-30 |
| Created | 2025-08-05 |
| Platforms | claude-code, python |
| Est. Tokens | ~674k |
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miroflow is MiroFlow is an agent framework that enables tool-use agent tasks, featuring a reproducible GAIA score of 82.4%.. It is categorized as a Agent Tool with 2.7k GitHub stars.
miroflow is primarily written in Python. It covers topics such as agent-framework, agents, browsecomp.
You can find installation instructions and usage details in the miroflow GitHub repository at github.com/MiroMindAI/miroflow. The project has 2.7k stars and 273 forks, indicating an active community.
miroflow is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to miroflow on Agent Skills Hub include AWorld, py-gpt, AI-Research-SKILLs. 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: