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 yuezhiai · Agent Tool · ★ 1.0k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is jonex safe to install? View the security audit →
AI Multimodal Domain Knowledge Engine Built for Enterprise Agents · Powered by the Dual Engines of Jonex Wiki and Graph Ontology English | 中文 Overview | Quick Start | Local Development | API Quickstart | Integration profile | Document and video parsing | Runtime requirements | Community & Security | License If you find value in Jonex, please
| Stars | 1,040 |
| Forks | 184 |
| Language | Python |
| Category | Agent Tool |
| Quality Score | 67.6261439053145/100 |
| Open Issues | 17 |
| Last Updated | 2026-09-14 |
| Created | 2026-07-19 |
| Platforms | docker, python |
| Est. Tokens | ~16k |
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jonex is All-in-One Multimodal Parsing Engine + Ontology-Powered, LLM Wiki-Driven AI-Ready Knowledge Engine. It is categorized as a Agent Tool with 1.0k GitHub stars.
jonex is primarily written in Python. It covers topics such as agent, agent-skills, asr.
You can find installation instructions and usage details in the jonex GitHub repository at github.com/yuezhiai/jonex. The project has 1.0k stars and 184 forks, indicating an active community.
The top alternatives to jonex on Agent Skills Hub include SimpleMem, casibase, neo. 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: