MaiBot vs Qwen Audio Agent
Qwen Audio Agent leads on trust: 87.4/100 (Grade A) against 58.7/100 (Grade C), a 28.7-point gap. MaiBot leads on maintenance; Qwen Audio Agent leads on supply-chain integrity and provenance, and rests on broader evidence.
MaiSaka, an LLM-based intelligent agent, is a digital lifeform devoted to understanding you and interacting in the style of a real human. She does not pursue perfection, nor does she seek efficiency; instead, she values warmth, authenticity, and genuine connection.
Choose MaiBot if maintenance matters most.
- +0.9Maintenance
A realtime voice runtime that keeps Agents talking, working, and present. Real-time Voice Runtime for AI Agents
Choose Qwen Audio Agent if supply-chain integrity and provenance matter most.
- +13.2Safety / Integrity: 90% of recent commits signed, against 7%
- +7.2Identity / Provenance: package provenance attested, against none
- +3.1Adoption
- +1.1Transparency: OSSF Scorecard 6.5 against 5.2
Where they differ
An independent, evidence-based trust comparison of MaiBot and Qwen Audio Agent, two Voice & Conversational projects in the HVTracker registry. Scores come from public, checkable signals — supply-chain provenance, OSSF Scorecard, maintenance, and adoption — not popularity.
Full evidence
| Signal | MaiBotMai-with-u/MaiBot | Qwen Audio AgentQwenAudio/qwen-audio-agent |
|---|---|---|
| HVTrust score | 58.7 | 87.4 |
| Evidence grade | C | A |
| Coverage grade | C | B |
| Overall rank | #739 | #72 |
| Rank in Voice & Conversational | #7 | #3 |
| GitHub stars | 6.9k | 3.1k |
| Last updated | today | today |
| Build provenance | No | Yes |
| OSSF Scorecard | 5.2 / 10 | 6.5 / 10 |
| License | GPL-3.0 | Apache-2.0 |
| Downloads | — | 886/wk |
| Trust dimensions (points earned) | ||
| Safety / integrity / 25 | 6.9 | 20.1 |
| Identity & provenance / 18 | 10.8 | 18.0 |
| Transparency / 17 | 12.9 | 14.0 |
| Maintenance / 20 | 20.0 | 19.1 |
| Adoption / 20 | 9.2 | 12.3 |
| Runtime capability surface (full matrix) | ||
| MCP server | Declared | Implemented |
| External providers | 2 — Google Gemini, OpenAI | — |
| Requires API keys | No | Yes |
| Plugin surface | plugins | — |
| Provenance drift | — | Match |
How to read this: HVTrust (0–100) weighs supply-chain signals (provenance, OSSF Scorecard, signed commits, open license) alongside real-world adoption, scaled by an evidence-confidence factor. Grade bands: A ≥ 80, B ≥ 65, C ≥ 50, D < 50. Signals refresh daily. Full methodology v4.4 →