Is BeeAI Framework safe?
BeeAI Framework scores 69.5/100 (Grade B), ranked #109 of 418 tracked open-source AI agent projects, on evidence coverage B (3 of 5 independent signal types).
The public evidence: no package-provenance attestation found;
OSSF Scorecard rates its supply-chain practices 5.9/10;
58% of recent commits are signed;
last pushed 2026-07-21. Every point is earned from checkable signals — never paid placement. How scoring works →
Quick Trust Read
Verdict
Promising trust profile, but some evidence still deserves review.
69.5/100 · Grade B
Strongest Signal
Maintenance
18.0/20
Weakest Signal
Safety / Integrity
10.3/25
What Would Improve It
Publish package provenance or release attestations for stronger supply-chain evidence.
Recent Changes
2026-07-21
Rank Moved
Rank rose 10 spots (#119 → #109)
2026-07-13
Rank Moved
Rank dropped 13 spots (#89 → #102)
Maintainer Checklist
Raise Scorecard signalsCurrent OSSF Scorecard is 5.9/10. Tighten the weakest checks to improve public safety evidence.
Publish provenanceAdd package provenance or release attestations so users can verify where shipped artifacts came from.
How to read this: HVTrust (0–100) weighs supply-chain signals (provenance, OSSF Scorecard, signed commits, open license) alongside real-world adoption. Grade B 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 refreshed2026-07-21 22:03 UTC·Repo last pushed today
BeeAI Framework has a mixed signal profile. Some trust indicators are present, others are missing. Whether it is safe for your use case depends on which gaps matter to you — review the breakdown below before adopting in production.
Does BeeAI Framework publish package provenance?
No published build provenance is currently detected for BeeAI Framework. This is common for open-source projects but means consumers cannot independently verify that the package on the registry matches the GitHub source.
Does BeeAI Framework have an OpenSSF Scorecard?
BeeAI Framework has an OpenSSF Scorecard score of 5.9/10. 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 BeeAI Framework actively maintained?
Actively maintained. The repository was pushed to within the last 1 day(s).
What license does BeeAI Framework use?
BeeAI Framework ships under Apache-2.0. A declared, OSI-approved license is one of the transparency signals HVTrust scores.
Are BeeAI Framework's commits signed?
57% of the last 100 commits to BeeAI Framework 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.
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
BeeAI Framework appears to expose MCP server capabilities.
Detailed evidence is not shown in the public view.
Credential signal:
No explicit API-key/config marker detected.
Tool / Plugin Surface
high confidence
Declared
Declared plugin/integration surface detected.
code
database
search
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
Maintain BeeAI Framework?
HVTrust scores BeeAI Framework 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.
