head to head · open source
LiveKit vs yao-meta-skill
LiveKit has 22,027 GitHub stars, 2,529 forks, 189 open issues and last shipped 2 days ago. yao-meta-skill has 2,718 stars, 252 forks, 4 open issues and last shipped 3 months ago. LiveKit leads on adoption by 710% (22,027 vs 2,718 stars). LiveKit is written in Go under Apache-2.0; yao-meta-skill is written in Python under MIT. LiveKit has attracted 11% as many forks as stars, yao-meta-skill 9%. LiveKit was the more recently maintained of the two, and both are self-hostable with no licence fee.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
← all 20902 open source comparisons
Side by side
| LiveKit | yao-meta-skill | |
|---|---|---|
| GitHub stars | ★ 22K | ★ 2.7K |
| License | Apache-2.0 | MIT |
| Written in | Go | Python |
| Last push | 2026-11-03 | 2026-08-17 |
| Forks | ⑂ 2.5K | ⑂ 252 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick LiveKit if
- You weight community size — 22K stars and counting
- You want the Apache-2.0 license terms
- Your stack matches Go
- 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 LiveKit
LiveKit: Realtime infrastructure for voice, video, and AI agents LiveKit is an open source platform for building voice, video, and physical AI agents. This repository is the LiveKit server: a scalable, distributed WebRTC SFU that moves realtime audio, video, and data between people, devices, and AI models. The SDKs, agents frameworks, and companion services are linked in the table at the bottom of this page. LiveKit's server is written in Go, using the awesome Pion WebRTC implementation. [!IMPORTANT] If you're building Voice AI, LiveKit Agents is the SDK for code first realtime voice agents. STT, LLM, TTS, turn…
read the full LiveKit overview →
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 →
More in Productivity & Utilities
Related comparisons
More Automation projects
Compare either of these against the rest of the Automation field.
Frequently asked questions
Is LiveKit or yao-meta-skill more popular?
LiveKit has 22,027 GitHub stars and yao-meta-skill has 2,718. LiveKit has the larger community by that measure.
Are LiveKit and yao-meta-skill free?
Both are open source. LiveKit is licensed under Apache-2.0 and yao-meta-skill under MIT. Neither carries a licence fee.
What is the difference between LiveKit and yao-meta-skill?
LiveKit is written in Go 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, LiveKit or yao-meta-skill?
Choose LiveKit if you want the larger community (22,027 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.