head to head · open source
LiveKit vs yao-meta-skill
LiveKit has 21,000 GitHub stars, 2,354 forks, 189 open issues and last shipped yesterday. yao-meta-skill has 2,625 stars, 243 forks, 2 open issues and last shipped 1 months ago. LiveKit leads on adoption by 700% (21,000 vs 2,625 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 | ★ 21K | ★ 2.6K |
| License | Apache-2.0 | MIT |
| Written in | Go | Python |
| Last push | 2026-09-19 | 2026-08-17 |
| Forks | ⑂ 2.4K | ⑂ 243 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick LiveKit if
- You weight community size — 21K 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 is an open source realtime infrastructure project for voice, video, and physical AI agents, and it lives in the WebRTC, media server, and voice AI ecosystem. The repository contains the LiveKit server, a scalable distributed WebRTC SFU written in Go and built on Pion WebRTC. It moves realtime audio, video, and data between people, devices, and AI models, while SDKs, agent frameworks, and companion services are provided separately.
read the full LiveKit overview →
About yao-meta-skill
yao meta skill is a Python, MIT licensed system for creating, evaluating, packaging, and governing reusable agent skills, and it is aimed at teams that build, ship, and maintain agent workflows rather than at people writing one off prompts.
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 21,000 GitHub stars and yao-meta-skill has 2,625. 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 (21,000 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.