Feynman vs GPT Researcher
Feynman leads on trust: 72.9/100 (Grade B) against 67.9/100 (Grade B), a 5.0-point gap. Feynman leads on provenance and maintenance; GPT Researcher leads on supply-chain integrity and transparency, and rests on broader evidence. Note: Feynman's evidence coverage is thinner (coverage B vs A) — its score rests on fewer independent signal types.
The open source AI research agent.
Choose Feynman if provenance and maintenance matter most.
- +7.2Identity / Provenance: package provenance attested, against none
- +0.9Maintenance: last push today, against 8d ago
An autonomous agent that conducts deep research on any data using any LLM providers
Choose GPT Researcher if supply-chain integrity and transparency matter most.
- +5.3Transparency
- +1.4Safety / Integrity: 47% of recent commits signed, against 24%
- +0.7Adoption: 30k GitHub stars against 9.9k
- A vs BEvidence coverage: 4 of 5 independent signal types, against 3
Where they differ
An independent, evidence-based trust comparison of Feynman and GPT Researcher, two Research & Data projects in the HVTracker registry. Scores come from public, checkable signals — supply-chain provenance, OSSF Scorecard, maintenance, and adoption — not popularity.
Full evidence
| Signal | FeynmanCompanion-Inc/feynman | GPT Researcherassafelovic/gpt-researcher |
|---|---|---|
| HVTrust score | 72.9 | 67.9 |
| Evidence grade | B | B |
| Coverage grade | B | A |
| Overall rank | #285 | #409 |
| Rank in Research & Data | #6 | #8 |
| GitHub stars | 9.9k | 30.0k |
| Last updated | today | 8d ago |
| Build provenance | Yes | No |
| OSSF Scorecard | — | 6.2 / 10 |
| License | MIT | Apache-2.0 |
| Downloads | 19k/wk | 8k/wk |
| Trust dimensions (points earned) | ||
| Safety / integrity / 25 | 8.7 | 10.1 |
| Identity & provenance / 18 | 18.0 | 10.8 |
| Transparency / 17 | 8.5 | 13.8 |
| Maintenance / 20 | 20.0 | 19.1 |
| Adoption / 20 | 15.3 | 16.0 |
| Runtime capability surface (full matrix) | ||
| MCP server | Declared | Implemented |
| External providers | — | 5 — Firecrawl, Google Gemini, Multi-provider (LiteLLM), … |
| Requires API keys | Yes | Yes |
| Plugin surface | extensions | plugins |
| Provenance drift | Match | Unknown |
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 →