MaiBot vs TEN Framework
Both are Grade C and 1.9 points apart, so choose on what you weigh most. MaiBot leads on maintenance; TEN Framework leads on supply-chain integrity and adoption.
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.
- +2.7Maintenance
Open-source framework for conversational voice AI agents
Choose TEN Framework if supply-chain integrity and adoption matter most.
- +4.6Safety / Integrity: 100% of recent commits signed, against 6%
- +0.6Adoption: 11.2k GitHub stars against 6.2k
Where they differ
1 dimension identical: Identity 10.8 · Full evidence table
An independent, evidence-based trust comparison of MaiBot and TEN Framework, 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 | TEN FrameworkTEN-framework/ten-framework |
|---|---|---|
| HVTrust score | 56.1 | 58.0 |
| Evidence grade | C | C |
| Coverage grade | C | C |
| Overall rank | #794 | #729 |
| Rank in Voice & Conversational | #10 | #9 |
| GitHub stars | 6.2k | 11.2k |
| Last updated | 1d ago | 1d ago |
| Build provenance | No | No |
| OSSF Scorecard | 4.1 / 10 | 4.0 / 10 |
| License | GPL-3.0 | NOASSERTION |
| Downloads | — | — |
| Trust dimensions (points earned) | ||
| Safety / integrity / 25 | 5.4 | 10.0 |
| Identity & provenance / 18 | 10.8 | 10.8 |
| Transparency / 17 | 12.0 | 11.9 |
| Maintenance / 20 | 19.9 | 17.2 |
| Adoption / 20 | 9.1 | 9.7 |
| Runtime capability surface (full matrix) | ||
| MCP server | — | — |
| External providers | 2 — Google Gemini, OpenAI | 1 — OpenAI |
| Requires API keys | No | Yes |
| Plugin surface | plugins | extensions |
| 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 →