head to head · open source
LiveKit vs local-deep-research
LiveKit has 20,973 GitHub stars, 2,347 forks, 189 open issues and last shipped yesterday. local-deep-research has 9,099 stars, 821 forks, 889 open issues and last shipped yesterday. LiveKit leads on adoption by 130% (20,973 vs 9,099 stars). LiveKit is written in Go under Apache-2.0; local-deep-research is written in Python under MIT. LiveKit has attracted 11% as many forks as stars, local-deep-research 9%. local-deep-research 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 | local-deep-research | |
|---|---|---|
| GitHub stars | ★ 21K | ★ 9.1K |
| License | Apache-2.0 | MIT |
| Written in | Go | Python |
| Last push | 2026-09-17 | 2026-09-17 |
| Forks | ⑂ 2.3K | ⑂ 821 |
| 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 local-deep-research if
- You want the local-deep-research feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and local-deep-research 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 local-deep-research
Local Deep Research is an MIT licensed, Python based AI research assistant that performs deep, agentic research with proper citations across any local or cloud LLM and more than ten search engines, built for researchers, developers, and privacy conscious self hosters who want both the workload and the data to stay on hardware they control.
read the full local-deep-research overview →
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Frequently asked questions
Is LiveKit or local-deep-research more popular?
LiveKit has 20,973 GitHub stars and local-deep-research has 9,099. LiveKit has the larger community by that measure.
Are LiveKit and local-deep-research free?
Both are open source. LiveKit is licensed under Apache-2.0 and local-deep-research under MIT. Neither carries a licence fee.
What is the difference between LiveKit and local-deep-research?
LiveKit is written in Go and local-deep-research 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 local-deep-research?
Choose LiveKit if you want the larger community (20,973 stars) or its Apache-2.0 licence terms. Choose local-deep-research if its feature set, stack or MIT licence fits better. Both are self-hostable.