head to head · open source
LiveKit vs trustgraph
LiveKit has 21,994 GitHub stars, 2,526 forks, 189 open issues and last shipped yesterday. trustgraph has 2,869 stars, 339 forks, 18 open issues and last shipped 6 days ago. LiveKit leads on adoption by 667% (21,994 vs 2,869 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.
← all 20902 open source comparisons
Side by side
| LiveKit | trustgraph | |
|---|---|---|
| GitHub stars | ★ 22K | ★ 2.9K |
| License | Apache-2.0 | Apache-2.0 |
| Written in | Go | Python |
| Last push | 2026-11-02 | 2026-10-28 |
| Forks | ⑂ 2.5K | ⑂ 339 |
| 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 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: 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 trustgraph
HyperGraph Playground Self Host TrustGraph Docs YouTube Discord Website The Context Orchestration Layer for Agentic AI Open Source · Open Standards · Total Transparency TrustGraph is an open source context orchestration layer designed to power the next generation of enterprise AI. AI applications fail without shared context. LLMs are powerful, but without a structured, unified context layer — one that bridges silos, captures complex relationships, and enforces governance — agents hallucinate, violate policies, and produce non deterministic outcomes. TrustGraph builds that layer. It uses hypergraphs to turn raw…
read the full trustgraph 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 trustgraph more popular?
LiveKit has 21,994 GitHub stars and trustgraph has 2,869. 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 (21,994 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.