by oooscoos · Agent Tool · ★ 75
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Benzi is AI-native code intelligence infrastructure. Claude Code greps; Cursor embeds; Aider maps signatures; Benzi resolves — and answers in O(1). Every language runs its own tree-sitter grammar into the same query map.
| Stars | 75 |
| Forks | 5 |
| Language | Python |
| Category | Agent Tool |
| Quality Score | 46.9225260586194/100 |
| Open Issues | 1 |
| Last Updated | 2026-09-16 |
| Created | 2026-07-29 |
| Platforms | claude-code, python |
| Est. Tokens | ~13k |
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Benzi is Benzi is AI-native code intelligence infrastructure. Claude Code greps; Cursor embeds; Aider maps signatures; Benzi resolves — and answers in O(1). Every language runs its own tree-sitter grammar into. It is categorized as a Agent Tool with 75 GitHub stars.
Benzi is primarily written in Python. It covers topics such as agentic-ai, ai, ai-agent.
You can find installation instructions and usage details in the Benzi GitHub repository at github.com/oooscoos/Benzi. The project has 75 stars and 5 forks, indicating an active community.
The top alternatives to Benzi on Agent Skills Hub include javis-os, gptree, cortex-tms. 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: