DawnAI

Build LangGraph agents like Next.js apps.

Agent Frameworks TypeScript Grade A Listed MIT
86.2/100
Rank #40 of 1283
Compare DawnAI

Strong public trust posture, backed by multiple independent signals.

Open compare tool Suggest correction
Listing state
Listed
Evidence coverage
Grade B · 3/5 signals
Last push
2026-08-14 · 1d ago
Recent change
Grade Changed +6

Is DawnAI safe? DawnAI scores 86.2/100 (Grade A), ranked #40 of 1283 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 7.2/10; 100% of recent commits are signed; last pushed 2026-08-14. Every point is earned from checkable signals — never paid placement. How scoring works →

Ranked neighbours in Agent Frameworks

Quick Trust Read

What Would Improve It
Improve adoption to lift the weakest part of the trust profile.
Recent Changes
2026-08-13
Grade Changed
Trust grade C → A
2026-08-13
Rank Moved
Rank rose 342 spots (#381 → #39)
2026-08-13
HVTrust Changed
HVTrust up 30.1pts (56.2 → 86.3)
Maintainer Checklist
Keep signals current Trust posture is already in a healthy range. The main job is to keep provenance, maintenance, and public evidence fresh.
72.0
Activity sub-score · out of 100
#9

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 →

Signals refreshed 2026-08-15 02:04 UTC · Repo last pushed yesterday

Rank Trend

2026-08-11 2026-08-15

Activity & Reach

Stars
381
Forks
25
Last Push
2026-08-14
yesterday
Commits (4 wk)
337
Downloads (7d)
1,313
npm
HN mentions (30d)
Open Issues
0
Rank Change
▼1
was #39

Analysis

HVTrust Dimensions vs Agent Frameworks

86.2 / 100 · 100.0% confidence

DawnAI Agent Frameworks average (118 agents)

Safety / Integrity50% OSSF Scorecard · 30% provenance · 20% signed commits
21.5 / 25
13.3 above avg 8.2
Identity / Provenance60% listing status · 40% build provenance
18.0 / 18
6.4 above avg 11.6
Transparency50% declared license · 50% OSSF Scorecard
14.6 / 17
3.0 above avg 11.6
Maintenance60% last-push freshness · 40% commit activity
19.9 / 20
5.7 above avg 14.2
AdoptionLog-scaled stars · package downloads
10.4 / 20
1.0 below avg 11.4

Activity Inputs

72.0 / 100
StarsRepository reach
15.5 / 30
FreshnessLast push recency
24.9 / 25
ActivityRecent commits
25 / 25
CommunityFork signal
6.6 / 20

Supply Chain Trust

Package Provenance
Verified
npm attestation
OSSF Scorecard
7.2 / 10
OpenSSF Scorecard · scanned Aug 14, 2026
Signed Commits
100%
of last 100 commits verified
Binary-Artifacts 10
Branch-Protection 3
CI-Tests 10
CII-Best-Practices 5
Code-Review 10
Contributors 3
Dangerous-Workflow 10
Dependency-Update-Tool 10
Fuzzing 0
License 10
Maintained 10
Packaging 10
Pinned-Dependencies 7
SAST 10
Security-Policy 10
Signed-Releases 10
Token-Permissions 0
Vulnerabilities 0

Is DawnAI safe?

Public supply-chain signals for DawnAI are strong: it has multiple independent trust indicators in place. This does not replace your own security review, but DawnAI carries less obvious unverified-evidence risk than projects with thin signals.
Does DawnAI publish package provenance?
Yes. DawnAI's package releases carry build provenance attestations, which cryptographically link the published package back to its source repository and CI workflow.
Does DawnAI have an OpenSSF Scorecard?
DawnAI has an OpenSSF Scorecard score of 7.2/10. The Scorecard checks for branch protection, signed releases, dependency updates, fuzzing, code review, and other supply-chain hygiene items. See the full check breakdown on this page.
Is DawnAI actively maintained?
Actively maintained. The repository was pushed to within the last 1 day(s).
What license does DawnAI use?
DawnAI ships under MIT. A declared, OSI-approved license is one of the transparency signals HVTrust scores.
Are DawnAI's commits signed?
100% of the last 100 commits to DawnAI are verified-signed (GPG, SSH, S/MIME, or GitHub's signing flow). Signed commits help confirm that code was authored by who the commit claims.

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
Scored in HVTrust

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 Server Support
None detected
No MCP server signal detected.
Detailed evidence is not shown in the public view.
External Service Dependencies
high confidence
1 detected
Public provider/service dependencies detected.
Credential signal: API keys or service config markers documented.
Tool / Plugin Surface
medium confidence
Declared
Declared plugin/integration surface detected.
Detailed evidence is not shown in the public view.
Package Provenance Drift
high confidence
Match
Published package metadata matches the tracked repo
Detailed evidence is not shown in the public view.
  • MCP signal live
  • External deps live
  • Tool / plugin surface live
  • Package provenance drift live
How this surface has changed

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.

2026-08-12
Provider Removed
Runtime surface shrank — no longer detected: Postgres
2026-07-15
Provenance Added
Package provenance attestation detected
2026-07-07
Provider Added
Runtime surface grew — new detected provider dependency: OpenAI

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
Rank 7Grade 4HVTrust 3Listed 1Surface 1Score 1Provenance 1Surface 1
2026-08-13
Grade Changed
Trust grade C → A
2026-08-13
Rank Moved
Rank rose 342 spots (#381 → #39)
2026-08-13
HVTrust Changed
HVTrust up 30.1pts (56.2 → 86.3)
2026-08-12
Provider Removed
Runtime surface shrank — no longer detected: Postgres
2026-08-12
Grade Changed
Trust grade A → C
2026-08-12
Rank Moved
Rank dropped 335 spots (#46 → #381)
2026-08-12
HVTrust Changed
HVTrust down 29.3pts (85.5 → 56.2)
2026-07-15
Provenance Added
Package provenance attestation detected
2026-07-15
Grade Changed
Trust grade C → A
2026-07-15
Rank Moved
Rank rose 123 spots (#156 → #33)
2026-07-15
HVTrust Changed
HVTrust up 21.3pts (64.2 → 85.5)
2026-07-14
Rank Moved
Rank dropped 12 spots (#144 → #156)
2026-07-13
Activity Score Changed
Activity score up 9pts (64 → 73)
2026-07-08
Rank Moved
Rank dropped 11 spots (#132 → #143)
2026-07-07
Provider Added
Runtime surface grew — new detected provider dependency: OpenAI
2026-07-07
Rank Moved
Rank dropped 11 spots (#121 → #132)
2026-07-02
Grade Changed
Trust grade B → C
2026-07-02
Rank Moved
Rank dropped 13 spots (#126 → #139)
2026-06-30
Newly Listed
First tracked at rank #126

Embed Badge Badge guide for maintainers →

For maintainers
HVTrust 86.2 Grade A
Markdown:
[![HVTrust](https://hvtracker.net/badge/dawnai.svg)](https://hvtracker.net/agents/dawnai)
HTML:
<a href="https://hvtracker.net/agents/dawnai"><img src="https://hvtracker.net/badge/dawnai.svg" alt="HVTrust"></a>

Other agents in Agent Frameworks

Data sources
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