head to head · open source
Vibe-Skills vs ai-devkit
Vibe-Skills has 3,793 GitHub stars, 343 forks, 42 open issues and last shipped yesterday. ai-devkit has 1,656 stars, 262 forks, 20 open issues and last shipped 2 days ago. Vibe-Skills leads on adoption by 129% (3,793 vs 1,656 stars). Vibe-Skills is written in Python under Apache-2.0; ai-devkit is written in TypeScript under Apache-2.0. Vibe-Skills has attracted 9% as many forks as stars, ai-devkit 16%. Vibe-Skills was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 5 topic tags (agent-framework, agent-skills, ai-agents, claude-code), so they are genuine substitutes rather than adjacent tools.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
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Side by side
| Vibe-Skills | ai-devkit | |
|---|---|---|
| GitHub stars | ★ 3.8K | ★ 1.7K |
| License | Apache-2.0 | Apache-2.0 |
| Written in | Python | TypeScript |
| Last push | 2026-11-04 | 2026-11-03 |
| Forks | ⑂ 343 | ⑂ 262 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Vibe-Skills if
- You weight community size — 3.8K stars and counting
- You want the Apache-2.0 license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick ai-devkit if
- You want the ai-devkit feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches TypeScript
- You evaluated both and ai-devkit fits your workflow better
About Vibe-Skills
English 中文 Latest release · v4.1.0 Quick start · Measured on SkillsBench Mean verifier reward: +21.12 pp Total tokens: 29.6% · Tool calls: 33.1% SkillsBench is a benchmark designed to evaluate whether AI agents can effectively use Skills to complete professional tasks across diverse domains. Its purpose is to measure how much a model’s ability to solve complex real world tasks improves when it is equipped with specialized Skills. To evaluate performance in production like environments where a large number of Skills are installed simultaneously, we adapted SkillsBench into a more realistic large scale multi Skill…
read the full Vibe-Skills overview →
About ai-devkit
AI DevKit English 中文 The control plane for AI coding agents. AI DevKit gives Claude Code, Codex CLI, Gemini CLI, opencode, Pi, Cursor, GitHub Copilot, Devin, and other coding agents one local first operating layer: one config, one console, local memory retrieval, cross agent communication, and composable engineering skills led by dev lifecycle . One config for every agent — .ai devkit.json reconciles setup across the coding tools your team uses One console for running sessions — agent console is a live TUI dashboard for supervising local agents across providers Cross agent communication — agent send lets you…
read the full ai-devkit overview →
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Frequently asked questions
Is Vibe-Skills or ai-devkit more popular?
Vibe-Skills has 3,793 GitHub stars and ai-devkit has 1,656. Vibe-Skills has the larger community by that measure.
Are Vibe-Skills and ai-devkit free?
Both are open source. Vibe-Skills is licensed under Apache-2.0 and ai-devkit under Apache-2.0. Neither carries a licence fee.
What is the difference between Vibe-Skills and ai-devkit?
Vibe-Skills is written in Python and ai-devkit in TypeScript. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, Vibe-Skills or ai-devkit?
Choose Vibe-Skills if you want the larger community (3,793 stars) or its Apache-2.0 licence terms. Choose ai-devkit if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.