head to head · open source
LiveKit vs flowgram.ai
LiveKit has 20,973 GitHub stars, 2,347 forks, 189 open issues and last shipped yesterday. flowgram.ai has 8,454 stars, 769 forks, 110 open issues and last shipped 17 days ago. LiveKit leads on adoption by 148% (20,973 vs 8,454 stars). LiveKit is written in Go under Apache-2.0; flowgram.ai is written in TypeScript under MIT. LiveKit has attracted 11% as many forks as stars, flowgram.ai 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.
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Side by side
| LiveKit | flowgram.ai | |
|---|---|---|
| GitHub stars | ★ 21K | ★ 8.5K |
| License | Apache-2.0 | MIT |
| Written in | Go | TypeScript |
| Last push | 2026-09-17 | 2026-09-01 |
| Forks | ⑂ 2.3K | ⑂ 769 |
| 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 flowgram.ai if
- You want the flowgram.ai feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches TypeScript
- You evaluated both and flowgram.ai 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 flowgram.ai
FlowGram is an MIT licensed TypeScript framework and toolkit that gives developers a free or fixed layout canvas, a node configuration form engine, a variable scope chain, and ready to use materials such as LLM, Condition, and Code Editor nodes so they can build their own AI workflow platforms faster and simpler.
read the full flowgram.ai overview →
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Frequently asked questions
Is LiveKit or flowgram.ai more popular?
LiveKit has 20,973 GitHub stars and flowgram.ai has 8,454. LiveKit has the larger community by that measure.
Are LiveKit and flowgram.ai free?
Both are open source. LiveKit is licensed under Apache-2.0 and flowgram.ai under MIT. Neither carries a licence fee.
What is the difference between LiveKit and flowgram.ai?
LiveKit is written in Go and flowgram.ai 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, LiveKit or flowgram.ai?
Choose LiveKit if you want the larger community (20,973 stars) or its Apache-2.0 licence terms. Choose flowgram.ai if its feature set, stack or MIT licence fits better. Both are self-hostable.