Is WrenAI safe to use?

WrenAI has an HVTrust score of 86.1/100 (Grade A), ranked #41 of 1308 tracked AI agent projects. This score reflects verifiable supply-chain integrity, transparency, maintenance, and adoption signals.

What is the trust score for WrenAI?

WrenAI scores 86.1/100 on HVTracker's evidence-weighted HVTrust scale. It has 17.4k GitHub stars and is categorized under Research & Data.

WrenAI

Canner/WrenAI

GenBI (Generative BI) for AI agents, an open-source, governed text-to-SQL through an open context layer that turns natur

Research & Data Python Grade A Listed NOASSERTION

86.1/100

Rank #41 of 1308

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Strong public trust posture, backed by multiple independent signals.

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Listing state

Listed

Evidence coverage

Grade B · 3/5 signals

Last push

2026-08-25 · 0d ago

Recent change

Rank

Is WrenAI safe? WrenAI scores 86.1/100 (Grade A), ranked #41 of 1308 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 5.7/10; 96% of recent commits are signed; last pushed 2026-08-25. Every point is earned from checkable signals — never paid placement. How scoring works →

Ranked neighbours in Research & Data

#1 Docling — 89.4 (A) → #2 Unstructured — 86.3 (A) → #4 OpenScience — 78.8 (B) → #5 Firecrawl — 74.4 (B) →

Quick Trust Read

What Would Improve It

Improve adoption to lift the weakest part of the trust profile.

Recent Changes

2026-08-18

Rank Moved

Rank rose 11 spots (#40 → #29)

Maintainer Checklist

Raise Scorecard signals Current OSSF Scorecard is 5.7/10. Tighten the weakest checks to improve public safety evidence.

Compare with Docling Get email alerts for WrenAI View Research & Data Report missing data

87.6

Activity sub-score · out of 100

In Research & Data

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

2026-08-11 2026-08-25

Activity & Reach

Stars

17.4k

Forks

2.0k

Last Push

2026-08-25

today

Commits (4 wk)

Downloads (7d)

pypi

HN mentions (30d)

—

Open Issues

260

Rank Change

▼4

was #37

Analysis

HVTrust Dimensions vs Research & Data

86.1 / 100 · 100.0% confidence

WrenAI Research & Data average (32 agents)

Safety / Integrity50% OSSF Scorecard · 30% provenance · 20% signed commits

19.4 / 25

12.7 above avg 6.7

Identity / Provenance60% listing status · 40% build provenance

18.0 / 18

6.3 above avg 11.7

Transparency50% declared license · 50% OSSF Scorecard

13.3 / 17

2.2 above avg 11.1

Maintenance60% last-push freshness · 40% commit activity

19.0 / 20

6.5 above avg 12.5

AdoptionLog-scaled stars · package downloads

12.8 / 20

1.8 above avg 11.0

Activity Inputs

87.6 / 100

StarsRepository reach

25.4 / 30

FreshnessLast push recency

25.0 / 25

ActivityRecent commits

21.9 / 25

CommunityFork signal

15.3 / 20

Supply Chain Trust

Package Provenance

Verified

npm attestation

OSSF Scorecard

5.7 / 10

OpenSSF Scorecard · scanned Aug 24, 2026

Signed Commits

96%

of last 100 commits verified

Binary-Artifacts 10

Branch-Protection 1

CI-Tests 10

CII-Best-Practices 0

Code-Review 10

Contributors 10

Dangerous-Workflow 10

Dependency-Update-Tool 10

Fuzzing 0

License 9

Maintained 10

Packaging -1

Pinned-Dependencies 0

SAST 0

Security-Policy 10

Signed-Releases -1

Token-Permissions 0

Vulnerabilities 0

Is WrenAI safe?

Public supply-chain signals for WrenAI are strong: it has multiple independent trust indicators in place. This does not replace your own security review, but WrenAI carries less obvious unverified-evidence risk than projects with thin signals.

Does WrenAI publish package provenance?

Yes. WrenAI's package releases carry build provenance attestations, which cryptographically link the published package back to its source repository and CI workflow.

Does WrenAI have an OpenSSF Scorecard?

WrenAI has an OpenSSF Scorecard score of 5.7/10. 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 WrenAI actively maintained?

Actively maintained. The repository was pushed to within the last 1 day(s).

What license does WrenAI use?

WrenAI ships under NOASSERTION. A declared, OSI-approved license is one of the transparency signals HVTrust scores.

Are WrenAI's commits signed?

96% of the last 100 commits to WrenAI 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.

Compare WrenAI head-to-head

WrenAI vs Docling → WrenAI vs Unstructured → WrenAI vs OpenScience →

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

high confidence

Implemented

WrenAI appears to expose MCP server capabilities.

Detailed evidence is not shown in the public view.

External Service Dependencies

high confidence

3 detected

Public provider/service dependencies detected.

Credential signal: No explicit API-key/config marker detected.

Tool / Plugin Surface

high confidence

Declared

Declared plugin/integration surface detected.

database

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 WrenAI'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.

2026-07-17

Provider Added

Runtime surface grew — new detected provider dependency: Anthropic

2026-07-13

Mcp Status Changed

Detected MCP server support changed: none → declared

2026-06-05

Provenance Added

Package provenance attestation detected

Maintain WrenAI?

For maintainers

HVTrust scores WrenAI 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.

Submit a correction → Add the trust badge

Reputation Timeline

Signal history

2026-08-18

Rank Moved

Rank rose 11 spots (#40 → #29)

2026-07-17

Provider Added

Runtime surface grew — new detected provider dependency: Anthropic

2026-07-13

Mcp Status Changed

Detected MCP server support changed: none → declared

2026-06-05

Provenance Added

Package provenance attestation detected

2026-05-29

HVTrust Changed

HVTrust up 9.9pts (56.2 → 66.1)

2026-05-28

Activity Score Changed

Activity score up 24pts (65 → 90)

GitHub → PyPI: wren-pydantic npm: @wrenai/wren-core-wasm

Embed Badge Badge guide for maintainers →

For maintainers

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Other agents in Research & Data

Data sources
GitHub REST API (repo, commits, stars, forks, license) · npm Registry (downloads, provenance) · PyPI / pypistats (downloads, provenance) · OpenSSF Scorecard CLI
Each agent's signals refresh once daily across 6 staggered batches. Methodology v4.3 · Raw JSON