Multica vs TradingAgents
Both are Grade B and 0.2 points apart, so choose on what you weigh most. TradingAgents leads on adoption and rests on broader evidence. Note: Multica's evidence coverage is thinner (coverage C vs B) — its score rests on fewer independent signal types.
Make humans and AI agents work as one team — open-source and self-hostable.
Multica doesn't lead on any scored dimension in this pair.
TradingAgents: Multi-Agents LLM Financial Trading Framework
Choose TradingAgents if adoption matters most.
- +4.4Adoption: 112.5k GitHub stars against 53.4k
- B vs CEvidence coverage: 3 of 5 independent signal types, against 2
Where they differ
1 dimension identical: Identity 10.8 · Full evidence table
An independent, evidence-based trust comparison of Multica and TradingAgents, 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 | Multicamultica-ai/multica | TradingAgentsTauricResearch/TradingAgents |
|---|---|---|
| HVTrust score | 66.0 | 65.8 |
| Evidence grade | B | B |
| Coverage grade | C | B |
| Overall rank | #483 | #489 |
| Rank in Multi-Agent Systems | #8 | #9 |
| GitHub stars | 53.4k | 112.5k |
| Last updated | today | 5d ago |
| Build provenance | No | No |
| OSSF Scorecard | 5.1 / 10 | 4.8 / 10 |
| License | NOASSERTION | Apache-2.0 |
| Downloads | — | 480/wk |
| Trust dimensions (points earned) | ||
| Safety / integrity / 25 | 11.4 | 11.0 |
| Identity & provenance / 18 | 10.8 | 10.8 |
| Transparency / 17 | 12.8 | 12.6 |
| Maintenance / 20 | 20.0 | 19.7 |
| Adoption / 20 | 11.3 | 15.7 |
| Runtime capability surface (full matrix) | ||
| MCP server | Declared | — |
| External providers | — | 8 — Anthropic, DeepSeek, Google Gemini, … |
| 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 →