CAMEL vs Multica
Both are Grade B and 2.0 points apart, so choose on what you weigh most. CAMEL leads on adoption and transparency, and rests on broader evidence; Multica leads on maintenance.
🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org
Choose CAMEL if adoption and transparency matter most.
- +4.3Adoption
- +1.6Transparency: OSSF Scorecard 6.8 against 4.9
- A vs CEvidence coverage: 4 of 5 independent signal types, against 2
Make humans and AI agents work as one team — open-source and self-hostable.
Choose Multica if maintenance matters most.
- +3.5Maintenance: last push 1d ago, against 3d ago
Where they differ
1 dimension identical: Identity 10.8 · Full evidence table
An independent, evidence-based trust comparison of CAMEL and Multica, 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 | CAMELcamel-ai/camel | Multicamultica-ai/multica |
|---|---|---|
| HVTrust score | 67.5 | 65.5 |
| Evidence grade | B | B |
| Coverage grade | A | C |
| Overall rank | #396 | #457 |
| Rank in Multi-Agent Systems | #5 | #7 |
| GitHub stars | 17.8k | 51.9k |
| Last updated | 3d ago | 1d ago |
| Build provenance | No | No |
| OSSF Scorecard | 6.8 / 10 | 4.9 / 10 |
| License | Apache-2.0 | NOASSERTION |
| Downloads | 11k/wk | — |
| Trust dimensions (points earned) | ||
| Safety / integrity / 25 | 11.3 | 11.1 |
| Identity & provenance / 18 | 10.8 | 10.8 |
| Transparency / 17 | 14.3 | 12.7 |
| Maintenance / 20 | 16.4 | 19.9 |
| Adoption / 20 | 15.6 | 11.3 |
| Runtime capability surface (full matrix) | ||
| MCP server | Declared | Declared |
| External providers | 14 — Amazon Bedrock, Anthropic, Cohere, … | — |
| Requires API keys | Yes | No |
| 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 →