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 alibaba · Agent Tool · ★ 165
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is neug safe to install? View the security audit →
The one data index for your agentic applications NeuG (pronounced "new-gee") is a high-performance, graph-native transactional database that runs embedded in your application or behind a service. It provides durable storage, explicit transactions, Cypher-native querying, and in-place graph analytics. Built on this data foundation, NeuG i
| Stars | 165 |
| Forks | 33 |
| Language | C++ |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 67.4575269899105/100 |
| Open Issues | 77 |
| Last Updated | 2026-09-20 |
| Created | 2026-03-02 |
| Est. Tokens | ~18k |
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neug is The one data index for your agentic applications. It is categorized as a Agent Tool with 165 GitHub stars.
neug is primarily written in C++. It covers topics such as agent-tools, code-graph, codegraphcontext.
You can find installation instructions and usage details in the neug GitHub repository at github.com/alibaba/neug. The project has 165 stars and 33 forks, indicating an active community.
neug is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to neug on Agent Skills Hub include sdl-mcp, open-vetta, ai-maestro. 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: