by mattzcarey · Agent Tool · ★ 290
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is zagi safe to install? View the security audit →
zagi a better git interface for agents Why use zagi? 121 git compatible commands 50% smaller output that doesn't overflow context windows 1.5-2x faster than git in all implemented commands Agent friendly features like and Three output modes: succinct (default), (git-identical), Git passthrough for non implemented commands Installation This downloads the binary and sets up as an alias to . Restart your shell after installation. From source Usage Use git as normal: Any commands or flags not yet implemented in zagi pass through to git. zagi also comes with its own set of features for managing code written by agents. Output modes zagi has three output modes: Succinct (default) — token-efficient output for agents: Compat — identical to git CLI output: JSON — structured output for machine par
git clone https://github.com/mattzcarey/zagi.gitTaken from the project's README on GitHub. Check the security audit before running it.
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 →
| Stars | 290 |
| Forks | 14 |
| Language | Zig |
| Category | Agent Tool |
| Quality Score | 68.005907116071/100 |
| Open Issues | 4 |
| Last Updated | 2026-04-07 |
| Created | 2025-11-27 |
| Platforms | claude-code, cli |
| Est. Tokens | ~34k |
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zagi is better git cli for agents. It is categorized as a Agent Tool with 290 GitHub stars.
zagi is primarily written in Zig. It covers topics such as agents, ai, ai-agents.
The README on GitHub (github.com/mattzcarey/zagi) gives: git clone https://github.com/mattzcarey/zagi.git. Usage details are in the same README.
The top alternatives to zagi on Agent Skills Hub include OpenContext, agentsys, agnix. 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: