Best Open-Source Voice & Conversational: LiveKit Agents vs Pipecat
A data-backed comparison of the top two voice & conversational on HVTracker, built from public trust signals rather than stars alone.
Short answer: LiveKit Agents currently leads Pipecat on HVTracker's evidence-weighted trust score: 88.8 vs 83.2/100. This is not a popularity ranking; it combines supply-chain safety, identity/provenance, transparency, maintenance, and adoption signals.
LiveKit Agents
A framework for building realtime voice AI agents 🤖🎙️📹
Pipecat
Open Source framework for voice and multimodal conversational AI
LiveKit Agents vs Pipecat: trust signal breakdown
Both projects are tracked in the Voice & Conversational category, but they do not expose the same evidence. The table below compares the public signals that feed HVTrust.
| Signal | LiveKit Agents | Pipecat |
|---|---|---|
| HVTrust score | 88.8 | 83.2 |
| Safety / Integrity | 20.9/30 | 15.5/30 |
| Identity / Provenance | 18.0/20 | 18.0/20 |
| Transparency | 14.2/20 | 13.9/20 |
| Maintenance | 20.0/20 | 19.9/20 |
| Adoption | 17.7/10 | 17.2/10 |
| OSSF Scorecard | 6.7 | 6.4 |
| Signed commits | 100% | Unknown |
| Package provenance | Verified | Verified |
Which one should you evaluate first?
If your priority is the most verifiable trust profile today, start with LiveKit Agents. It has the stronger current HVTrust score and ranks higher in Voice & Conversational. If your use case depends on a specific runtime, language, license, or integration model, use the individual profiles rather than the headline score alone.
For production use, the practical checklist is: inspect the security policy, confirm package provenance or release signing where available, review recent maintenance cadence, and compare the exact trust breakdown. HVTracker is meant to reduce the first-pass research burden, not replace your own risk review.