head to head · open source
yao-meta-skill vs ai-devkit
yao-meta-skill has 2,718 GitHub stars, 252 forks, 4 open issues and last shipped 3 months ago. ai-devkit has 1,656 stars, 262 forks, 20 open issues and last shipped 2 days ago. yao-meta-skill leads on adoption by 64% (2,718 vs 1,656 stars). yao-meta-skill is written in Python under MIT; ai-devkit is written in TypeScript under Apache-2.0. yao-meta-skill has attracted 9% as many forks as stars, ai-devkit 16%. ai-devkit was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (agent-skills, ai-agents), 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
| yao-meta-skill | ai-devkit | |
|---|---|---|
| GitHub stars | ★ 2.7K | ★ 1.7K |
| License | MIT | Apache-2.0 |
| Written in | Python | TypeScript |
| Last push | 2026-08-17 | 2026-11-03 |
| Forks | ⑂ 252 | ⑂ 262 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick yao-meta-skill if
- You weight community size — 2.7K stars and counting
- You want the MIT 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 yao-meta-skill
Yao Meta Skill YAO stands for Yielding AI Outcomes : the goal is not to generate more prompt text, but to produce reusable AI assets and real operational outcomes. yao meta skill creates, evaluates, packages, and governs reusable agent skills. The 1.0 line focused on turning repeated workflows into installable, readable, cross platform skill packages. The 2.0 line expands that factory into a Skill OS: a governed system for modeling a skill once, compiling it for multiple targets, testing its behavior, reviewing its release evidence, and tracking the next iteration. Quick Start · Skill OS 2.0 · 1.0 vs 2.0 ·…
read the full yao-meta-skill 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 yao-meta-skill or ai-devkit more popular?
yao-meta-skill has 2,718 GitHub stars and ai-devkit has 1,656. yao-meta-skill has the larger community by that measure.
Are yao-meta-skill and ai-devkit free?
Both are open source. yao-meta-skill is licensed under MIT and ai-devkit under Apache-2.0. Neither carries a licence fee.
What is the difference between yao-meta-skill and ai-devkit?
yao-meta-skill 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, yao-meta-skill or ai-devkit?
Choose yao-meta-skill if you want the larger community (2,718 stars) or its MIT licence terms. Choose ai-devkit if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.