head to head · open source
LiveKit vs flowgram.ai
LiveKit has 21,994 GitHub stars, 2,526 forks, 189 open issues and last shipped yesterday. flowgram.ai has 8,551 stars, 783 forks, 110 open issues and last shipped yesterday. LiveKit leads on adoption by 157% (21,994 vs 8,551 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 | ★ 22K | ★ 8.6K |
| License | Apache-2.0 | MIT |
| Written in | Go | TypeScript |
| Last push | 2026-11-02 | 2026-11-02 |
| Forks | ⑂ 2.5K | ⑂ 783 |
| 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 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: 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 flowgram.ai
FlowGram｜Workflow development framework English 中文 Español Русский Português Deutsch 日本語 FlowGram is a composable, visual, easy to integrate, and extensible workflow development framework & toolkit. Our goal is to help developers build AI workflow platforms faster and simpler . FlowGram comes with a suite of built in tools for workflow development: flow canvas, node configuration form, variable scope chain, and ready to use materials (LLM, Condition, Code Editor etc). It’s not a ready made workflow platform; it’s the framework and toolkit to build yours. Learn more at FlowGram.AI 🌐 🎬 Demo Open in CodeSandbox…
read the full flowgram.ai overview →
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Frequently asked questions
Is LiveKit or flowgram.ai more popular?
LiveKit has 21,994 GitHub stars and flowgram.ai has 8,551. 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 (21,994 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.