DawnAI
Ridiculous speed. Readable code.
Is DawnAI safe? Strong public trust posture, backed by multiple independent signals.
Compare DawnAI
How does it stack up against its Agent Frameworks neighbours?
Pick any agent to compare →In detail: DawnAI scores 84.9/100 (Grade A), ranked #86 of 1325 tracked open-source AI agent projects, on evidence coverage B (3 of 5 independent signal types). The public evidence: its packages ship with cryptographic provenance; OSSF Scorecard rates its supply-chain practices 7.0/10; 100% of recent commits are signed; last pushed 2026-09-28. Every point is earned from checkable signals — never paid placement. How scoring works →
How DawnAI could raise its score
Each line changes one public signal and recomputes with the live scoring function. The gains don't add up exactly, because the score is capped near the top.
- Raise the OSSF Scorecard from 7.0 to 9.0lowest checks: CII-Best-Practices 0, Fuzzing 0, Token-Permissions 0 +3.5 → 88.4 A · #8 of 122
How DawnAI compares in Agent Frameworks
- #8 PydanticAI 87.9 +3.0
- #9 Agno 87.3 +2.4
- #10 DawnAI 84.9 this agent
- #11 Threadplane 83.4 −1.5
- #12 LangChain 83.0 −1.9
Bars show each HVTrust score; the tick marks DawnAI’s 84.9.
Where the 84.9 comes from
HVTrust dimensions vs the Agent Frameworks average
84.9 / 100 · 100.0% confidenceDawnAI Agent Frameworks average (122 agents)
Quick Trust Read
How to read this: HVTrust (0–100) weighs supply-chain signals (provenance, OSSF Scorecard, signed commits, open license) alongside real-world adoption. Grade A reflects the trust score band: A ≥ 80, B ≥ 65, C ≥ 50, D < 50. Evidence coverage B is separate — it grades how many independent signal types back the score (3 of 5), so a high score on thin evidence stays visible. Full methodology →
Rank Trend
Activity & Reach
Analysis
Activity Inputs
70.2 / 100Supply Chain Trust
Common questions about DawnAI
Does DawnAI publish package provenance?
Does DawnAI have an OpenSSF Scorecard?
Is DawnAI actively maintained?
What license does DawnAI use?
Are DawnAI's commits signed?
Not a safety endorsement. HVTracker describes what public signals show, not whether a project is safe for your use case. Run your own security review before adopting in production.
AI agent surface
MCP, providers, tool surface
These runtime-trust fields — detected from public repo docs and manifests — contribute a bounded adjustment to this project's HVTrust score alongside supply-chain evidence. The exact values each field can add or subtract are documented in the methodology → Compare this surface across every listed agent in the capability matrix →
- MCP signal live
- External deps live
- Tool / plugin surface live
- Package provenance drift live
Detected changes to DawnAI's runtime surface and supply-chain posture, from daily public-signal snapshots. A change here means our detectors see something different — a genuinely changed capability, or better evidence of an existing one.
Maintain DawnAI?
For maintainers
HVTrust scores DawnAI from public signals only — we never contact maintainers first. If a signal is wrong, stale, or missing (provenance you publish, a Scorecard you run, signed releases), tell us and we'll review it. Corrections are public and tracked on GitHub.
Reputation Timeline
Signal history
Embed Badge Badge guide for maintainers →
For maintainers
[](https://hvtracker.net/agents/dawnai)
<a href="https://hvtracker.net/agents/dawnai"><img src="https://hvtracker.net/badge/dawnai.svg" alt="HVTrust"></a>
Other agents in Agent Frameworks
GitHub REST API (repo, commits, stars, forks, license) · npm Registry (downloads, provenance) · OpenSSF Scorecard CLI
Each agent's signals refresh once daily across 6 staggered batches. Methodology v4.3 · Raw JSON