head to head · open source
LiveKit vs trustgraph
LiveKit has 21,000 GitHub stars, 2,354 forks, 189 open issues and last shipped yesterday. trustgraph has 2,736 stars, 323 forks, 18 open issues and last shipped 4 days ago. LiveKit leads on adoption by 668% (21,000 vs 2,736 stars). LiveKit is written in Go under Apache-2.0; trustgraph is written in Python under Apache-2.0. LiveKit has attracted 11% as many forks as stars, trustgraph 12%. 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 | trustgraph | |
|---|---|---|
| GitHub stars | ★ 21K | ★ 2.7K |
| License | Apache-2.0 | Apache-2.0 |
| Written in | Go | Python |
| Last push | 2026-09-19 | 2026-09-16 |
| Forks | ⑂ 2.4K | ⑂ 323 |
| 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 trustgraph if
- You want the trustgraph feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Python
- You evaluated both and trustgraph 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 trustgraph
TrustGraph is an open source, Python based context orchestration layer that turns raw enterprise data into a unified semantic context layer using hypergraphs, built for teams creating agentic AI applications that need deterministic outcomes and cryptographically verifiable agent behavior.
read the full trustgraph overview →
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Frequently asked questions
Is LiveKit or trustgraph more popular?
LiveKit has 21,000 GitHub stars and trustgraph has 2,736. LiveKit has the larger community by that measure.
Are LiveKit and trustgraph free?
Both are open source. LiveKit is licensed under Apache-2.0 and trustgraph under Apache-2.0. Neither carries a licence fee.
What is the difference between LiveKit and trustgraph?
LiveKit is written in Go and trustgraph 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 trustgraph?
Choose LiveKit if you want the larger community (21,000 stars) or its Apache-2.0 licence terms. Choose trustgraph if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.