BeeAI Framework

Build production-ready AI agents in both Python and Typescript.

Agent Frameworks Python Grade D Listed Apache-2.0
Listing state
Listed
HVTrust
34.0/100 · Grade D
Last push
2026-05-28 · 9d ago
Recent change
New

Quick Trust Read

Verdict
Thin or incomplete trust evidence. Review carefully before production use.
34.0/100 · Grade D
Strongest Signal
Maintenance
15.2/20
Weakest Signal
Safety / Integrity
2.5/25
What Would Improve It
Add or improve OSSF Scorecard coverage so safety checks are easier to verify.
Recent Changes
2026-06-06
Newly Listed
First tracked at rank #197
Maintainer Checklist
Add Scorecard coverage Expose the repository to OpenSSF Scorecard checks so supply-chain posture is easier to verify.
Publish provenance Add package provenance or release attestations so users can verify where shipped artifacts came from.
69.1
Activity Score · out of 100
34.0
HVTrust Score · out of 100
#197
Global Rank · of 213
#59

How to read this: HVTrust (0–100) weighs supply-chain signals (provenance, OSSF Scorecard, signed commits, open license) alongside real-world adoption. Grade D reflects the trust score band: A ≥ 80, B ≥ 65, C ≥ 50, D < 50. Full methodology →

Signals refreshed 2026-06-06 18:09 UTC · Repo last pushed 9 days ago

Activity & Reach

Stars
3.3k
Forks
441
Last Push
2026-05-28
9 days ago
Commits (4 wk)
8
Downloads (7d)
15,071
pypi
HN mentions (30d)
Open Issues
13
Rank Change
NEW

Analysis

HVTrust Dimensions

34.0 / 100 · 67.0% confidence
Safety / IntegrityOSSF, provenance, signatures
2.5 / 25
Identity / ProvenanceListing and build link
10.8 / 18
TransparencyLicense and public checks
8.5 / 17
MaintenanceFreshness and commits
15.2 / 20
AdoptionStars and downloads
14.0 / 20

Activity Inputs

69.1 / 100
StarsRepository reach
21.1 / 30
FreshnessLast push recency
23.8 / 25
ActivityRecent commits
11.9 / 25
CommunityFork signal
12.3 / 20

Supply Chain Trust

Package Provenance
None
No package attestations found
OSSF Scorecard
Not available
Signed Commits
50%
of last 100 commits verified

Is BeeAI Framework safe?

Public trust evidence for BeeAI Framework is thin: several supply-chain signals are missing or weak. This does not mean the project is unsafe — it means an outside observer cannot easily verify the usual integrity checks. Treat with extra scrutiny.
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?
No OpenSSF Scorecard data is currently published for BeeAI Framework. Maintainers can enable the Scorecard GitHub Action to get a public score; without it, automated supply-chain hygiene is harder for outsiders to verify.
Is BeeAI Framework actively maintained?
Maintained. Last push was 9 days ago.
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?
50% 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.

Runtime trust

HVTrust currently does not score runtime-trust fields yet. This public view shows a compact runtime snapshot from repo docs and manifests. An experimental ranking preview is available in Score Lab →, and progress is tracked on the roadmap →

MCP Server Support
high confidence
Implemented
BeeAI Framework appears to expose MCP server capabilities.
Detailed evidence is not shown in the public view.
External Service Dependencies
high confidence
5 detected
Public provider/service dependencies detected.
  • Amazon Bedrock
  • Anthropic
  • OpenAI
  • Postgres
  • Qdrant
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 support 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.

Reputation Timeline

Listed 1
2026-06-06
Newly Listed
First tracked at rank #197

Embed Badge Badge guide for maintainers →

HVTrust 34.0 Grade D
Markdown:
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Other agents in Agent Frameworks

Data sources
GitHub REST API (repo, commits, stars, forks, license) · PyPI / pypistats (downloads, provenance)
Each agent's signals refresh once daily across 6 staggered batches. Methodology v3.2 · Raw JSON