MaiBot vs Speech To Speech
Both are Grade C and 3.9 points apart, so choose on what you weigh most. Speech To Speech leads on supply-chain integrity and transparency.
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.
MaiBot doesn't lead on any scored dimension in this pair.
Build voice agents with open-source models
Choose Speech To Speech if supply-chain integrity and transparency matter most.
- +2.7Safety / Integrity: 37% of recent commits signed, against 7%
- +0.9Transparency: OSSF Scorecard 6.2 against 5.2
- +0.7Adoption: 13.6k GitHub stars against 6.9k
Where they differ
2 dimensions identical: Identity 10.8 · Maintenance 20.0 · Full evidence table
An independent, evidence-based trust comparison of MaiBot and Speech To Speech, 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 | Speech To Speechhuggingface/speech-to-speech |
|---|---|---|
| HVTrust score | 58.7 | 62.6 |
| Evidence grade | C | C |
| Coverage grade | C | C |
| Overall rank | #740 | #622 |
| Rank in Voice & Conversational | #7 | #5 |
| GitHub stars | 6.9k | 13.6k |
| Last updated | today | today |
| Build provenance | No | No |
| OSSF Scorecard | 5.2 / 10 | 6.2 / 10 |
| License | GPL-3.0 | Apache-2.0 |
| Downloads | — | — |
| Trust dimensions (points earned) | ||
| Safety / integrity / 25 | 6.9 | 9.6 |
| Identity & provenance / 18 | 10.8 | 10.8 |
| Transparency / 17 | 12.9 | 13.8 |
| Maintenance / 20 | 20.0 | 20.0 |
| Adoption / 20 | 9.2 | 9.9 |
| Runtime capability surface (full matrix) | ||
| MCP server | Declared | — |
| External providers | 2 — Google Gemini, OpenAI | 2 — OpenAI, OpenRouter |
| Requires API keys | No | Yes |
| Plugin surface | plugins | — |
| Provenance drift | — | — |
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 →