DawnAI vs LangGraph
An independent, evidence-based trust comparison of DawnAI and LangGraph, two Agent Frameworks projects in the HVTracker registry. Scores come from public, checkable signals — supply-chain provenance, OSSF Scorecard, maintenance, and adoption — not popularity.
LangGraph leads on trust — 91.7/100 (Grade A) vs 85.5/100 (Grade A), a 6.2-point gap. Full breakdown below.
| Signal | DawnAIcacheplane/dawnai | LangGraphlangchain-ai/langgraph |
|---|---|---|
| HVTrust score | 85.5 | 91.7 |
| Evidence grade | A | A |
| Coverage grade | B | A |
| Overall rank | #66 | #8 |
| Rank in Agent Frameworks | #10 | #3 |
| GitHub stars | 326 | 41.6k |
| Last updated | today | today |
| Build provenance | Yes | Yes |
| OSSF Scorecard | 7.0 / 10 | 6.7 / 10 |
| License | MIT | MIT |
| Downloads | 835/wk | 2.5M/wk |
| Trust dimensions (points earned) | ||
| Safety / integrity / 25 | 21.2 | 20.9 |
| Identity & provenance / 18 | 18.0 | 18.0 |
| Transparency / 17 | 14.4 | 14.2 |
| Maintenance / 20 | 20.0 | 18.1 |
| Adoption / 20 | 9.9 | 19.6 |
| Runtime capability surface (full matrix) | ||
| MCP server | — | — |
| External providers | 1 — OpenAI | — |
| Requires API keys | Yes | No |
| Plugin surface | plugins | — |
| Provenance drift | Match | Partial |
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 v4.3 →