Concordia vs OpenMausBot
OpenMausBot leads on trust: 83.8/100 (Grade A) against 66.7/100 (Grade B), a 17.1-point gap. Concordia leads on transparency; OpenMausBot leads on supply-chain integrity and provenance.
A library for generative social simulation
Choose Concordia if transparency matters most.
- +3.0Transparency: OSSF Scorecard 7.8 against 4.2
Open-source Grok Bot alternative with a virtual machine that bots can use
Choose OpenMausBot if supply-chain integrity and provenance matter most.
- +7.2Identity / Provenance: package provenance attested, against none
- +4.4Safety / Integrity: 33% of recent commits signed, against 5%
- +1.9Maintenance: last push today, against 1d ago
- +1.8Adoption: 2.3k weekly downloads against 627
Where they differ
An independent, evidence-based trust comparison of Concordia and OpenMausBot, two Multi-Agent Systems projects in the HVTracker registry. Scores come from public, checkable signals — supply-chain provenance, OSSF Scorecard, maintenance, and adoption — not popularity.
Full evidence
| Signal | Concordiagoogle-deepmind/concordia | OpenMausBotmilind-soni/OpenMausBot |
|---|---|---|
| HVTrust score | 66.7 | 83.8 |
| Evidence grade | B | A |
| Coverage grade | B | B |
| Overall rank | #449 | #107 |
| Rank in Multi-Agent Systems | #6 | #2 |
| GitHub stars | 1.8k | 4.7k |
| Last updated | 1d ago | today |
| Build provenance | No | Yes |
| OSSF Scorecard | 7.8 / 10 | 4.2 / 10 |
| License | Apache-2.0 | Apache-2.0 |
| Downloads | 627/wk | 2k/wk |
| Trust dimensions (points earned) | ||
| Safety / integrity / 25 | 10.0 | 14.4 |
| Identity & provenance / 18 | 10.8 | 18.0 |
| Transparency / 17 | 15.1 | 12.1 |
| Maintenance / 20 | 18.1 | 20.0 |
| Adoption / 20 | 11.5 | 13.3 |
| Runtime capability surface (full matrix) | ||
| MCP server | Declared | Implemented |
| External providers | 6 — Amazon Bedrock, Anthropic, Google Gemini, … | — |
| Requires API keys | No | No |
| Plugin surface | — | — |
| Provenance drift | Match | 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 →