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 AgentEra · Agent Tool · ★ 1.7k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is Agently safe to install? View the security audit →
Agently 4 🚀 Build production‑grade AI apps faster, with stable outputs and maintainable workflows. English Introduction | 中文介绍 <a href="https://github.com/AgentEra/Agently/issue
| Stars | 1,651 |
| Forks | 181 |
| Language | Python |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 65.1805601730176/100 |
| Open Issues | 15 |
| Last Updated | 2026-09-12 |
| Created | 2023-06-30 |
| Platforms | claude-code, gemini, python |
| Est. Tokens | ~17k |
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Build autonomous AI agents in Python.
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Agently is [GenAI Application Development Framework] 🚀 Build GenAI application quick and easy 💬 Easy to interact with GenAI agent in code using structure data and chained-calls syntax 🧩 Use Event-Driven Flow. It is categorized as a Agent Tool with 1.7k GitHub stars.
Agently is primarily written in Python. It covers topics such as agent, agent-based-framework, agent-framework.
You can find installation instructions and usage details in the Agently GitHub repository at github.com/AgentEra/Agently. The project has 1.7k stars and 181 forks, indicating an active community.
Agently is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to Agently on Agent Skills Hub include tribe, ICLR2025-Papers-with-Code, Upsonic. 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: