Agently: [GenAI Application Development Framework] Build GenAI application quick and easy Easy to interact with GenAI

by AgentEra · Agent Tool · ★ 1.7k

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How to install Agently

pip install -U agently

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 65/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

agentagent-based-frameworkagent-frameworkchatglmclaudedeepseekernieframeworkgeminigoogle-gemini

Quick Facts

Stars1,658
Forks183
LanguagePython
CategoryAgent Tool
LicenseApache-2.0
Quality Score65/100
Open Issues16
Last Updated2026-10-13
Created2023-06-30
Platformsclaude-code, gemini, python
Est. Tokens~17k

About Agently

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

Compatible Skills

These tools work well together with Agently for enhanced workflows:

  • PocketFlow-Tutorial-Codebase-Knowledge — semantic(0.29)+complementary+rare_topics+same_lang+similar_pop+shared_platform (69%)
  • Autono — semantic(0.21)+complementary+rare_topics+same_lang+similar_pop+shared_platform (61%)
  • PocketFlow — semantic(0.21)+complementary+rare_topics+same_lang+similar_pop+shared_platform (57%)
  • llama-cpp-agent — semantic(0.20)+complementary+rare_topics+same_lang+similar_pop+shared_platform (56%)
  • code-act — semantic(0.19)+complementary+rare_topics+same_lang+similar_pop+shared_platform (56%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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:

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