head to head · open source

LiveKit vs Dograh

LiveKit has 22,027 GitHub stars, 2,529 forks, 189 open issues and last shipped 2 days ago. Dograh has 6,024 stars, 1,541 forks, 77 open issues and last shipped 2 days ago. LiveKit leads on adoption by 266% (22,027 vs 6,024 stars). LiveKit is written in Go under Apache-2.0; Dograh is written in Python under BSD-2-Clause. LiveKit has attracted 11% as many forks as stars, Dograh 26%. 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.

LiveKit ★ 22K Dograh ★ 6.0K category Productivity & Utilities

← all 20902 open source comparisons

Side by side

LiveKit Dograh
GitHub stars ★ 22K ★ 6.0K
License Apache-2.0 BSD-2-Clause
Written in Go Python
Last push 2026-11-03 2026-11-03
Forks ⑂ 2.5K ⑂ 1.5K
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

full LiveKit profile →

pick Dograh if

  • You want the Dograh feature set and don't need the biggest community
  • You prefer the BSD-2-Clause license terms
  • Your stack matches Python
  • You evaluated both and Dograh fits your workflow better

full Dograh profile →

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 Dograh

Dograh AI The open source, self hostable alternative to Vapi & Retell — build production voice agents with a visual workflow builder, test them in minutes, and let AI coding assistants help design and edit them through MCP. 📖 Docs · 📜 BSD 2 Clause · 🌐 中文 · 🌐 日本語 100% open source , self hostable — no vendor lock in, unlike Vapi or Retell Full control & transparency — every line of code is open, with flexible LLM / TTS / STT integration Maintained by YC alumni and exit founders , committed to keeping voice AI open 🎥 Featured Featured by Better Stack — a hands on look at Dograh 📺 Prefer a 2 minute product…

read the full Dograh 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 Dograh more popular?

LiveKit has 22,027 GitHub stars and Dograh has 6,024. LiveKit has the larger community by that measure.

Are LiveKit and Dograh free?

Both are open source. LiveKit is licensed under Apache-2.0 and Dograh under BSD-2-Clause. Neither carries a licence fee.

What is the difference between LiveKit and Dograh?

LiveKit is written in Go and Dograh 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 Dograh?

Choose LiveKit if you want the larger community (22,027 stars) or its Apache-2.0 licence terms. Choose Dograh if its feature set, stack or BSD-2-Clause licence fits better. Both are self-hostable.