head to head · open source
LiveKit vs local-deep-research
LiveKit has 21,994 GitHub stars, 2,526 forks, 189 open issues and last shipped yesterday. local-deep-research has 9,483 stars, 899 forks, 889 open issues and last shipped yesterday. LiveKit leads on adoption by 132% (21,994 vs 9,483 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 | ★ 22K | ★ 9.5K |
| License | Apache-2.0 | MIT |
| Written in | Go | Python |
| Last push | 2026-11-02 | 2026-11-02 |
| Forks | ⑂ 2.5K | ⑂ 899 |
| 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 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: 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 local-deep-research
Local Deep Research AI powered research assistant for deep, agentic research Performs deep, agentic research using multiple LLMs and search engines with proper citations 🧪 First open source project — fully local on a single RTX 3090 (Qwen3.6 27B) — to report 95% SimpleQA (n=500) and 77% xbench DeepSearch (n=100) on local hardware. See the r/LocalLLaMA announcement and the benchmark dataset. ▶️ Watch Review by The Art Of The Terminal 🚀 What is Local Deep Research? AI research assistant you control. Run locally for privacy, use any LLM and build your own searchable knowledge base. You own your data and see…
read the full local-deep-research overview →
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Frequently asked questions
Is LiveKit or local-deep-research more popular?
LiveKit has 21,994 GitHub stars and local-deep-research has 9,483. 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 (21,994 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.