head to head · open source
ODS vs yao-meta-skill
ODS has 7,760 GitHub stars, 1,104 forks, 2,618 open issues and last shipped yesterday. yao-meta-skill has 2,718 stars, 252 forks, 4 open issues and last shipped 3 months ago. ODS leads on adoption by 186% (7,760 vs 2,718 stars). ODS is written in Python under Apache-2.0; yao-meta-skill is written in Python under MIT. ODS has attracted 14% as many forks as stars, yao-meta-skill 9%. ODS was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (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
| ODS | yao-meta-skill | |
|---|---|---|
| GitHub stars | ★ 7.8K | ★ 2.7K |
| License | Apache-2.0 | MIT |
| Written in | Python | Python |
| Last push | 2026-11-04 | 2026-08-17 |
| Forks | ⑂ 1.1K | ⑂ 252 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick ODS if
- You weight community size — 7.8K 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 yao-meta-skill if
- You want the yao-meta-skill feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and yao-meta-skill fits your workflow better
About ODS
ODS Osmantic Deployment System Turn your PC, Mac, or Linux box into a private AI server. AI server and homelab setup is rapidly becoming a solved problem. It should feel that way for everyone. ODS installs and wires together everything you need to run AI locally, so you do not have to assemble Ollama, Open WebUI, n8n, ComfyUI, and privacy tools by hand: Local model inference — run open models on your own hardware ChatGPT style web UI — talk to your models from any browser Control dashboard — manage models, services, setup, GPU status, and extensions from one place Voice, agents, and workflows — build automations…
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 →
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Frequently asked questions
Is ODS or yao-meta-skill more popular?
ODS has 7,760 GitHub stars and yao-meta-skill has 2,718. ODS has the larger community by that measure.
Are ODS and yao-meta-skill free?
Both are open source. ODS is licensed under Apache-2.0 and yao-meta-skill under MIT. Neither carries a licence fee.
What is the difference between ODS and yao-meta-skill?
ODS is written in Python and yao-meta-skill in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, ODS or yao-meta-skill?
Choose ODS if you want the larger community (7,760 stars) or its Apache-2.0 licence terms. Choose yao-meta-skill if its feature set, stack or MIT licence fits better. Both are self-hostable.