BabyAGI

Agent Frameworks Python Grade D Needs review Unlicensed
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Listing state
Needs review
HVTrust
31.4/100 · Grade D
Evidence coverage
Grade A · 4/5 signals
Last push
2026-01-31 · 161d ago
Recent change
No recent signal change

Is BabyAGI safe? BabyAGI scores 31.4/100 (Grade D), ranked #311 of 328 tracked open-source AI agent projects, on evidence coverage A (4 of 5 independent signal types). The public evidence: no package-provenance attestation found; OSSF Scorecard rates its supply-chain practices 1.2/10; 40% of recent commits are signed; last pushed 2026-01-31. Every point is earned from checkable signals — never paid placement. How scoring works →

Active listing, but review is needed
  • [4.1.1] no declared license (GitHub license field is null)

Quick Trust Read

Verdict
Thin or incomplete trust evidence. Review carefully before production use.
31.4/100 · Grade D
Strongest Signal
Adoption
12.7/20
Weakest Signal
Transparency
1.0/17
What Would Improve It
Publish package provenance or release attestations for stronger supply-chain evidence.
Recent Changes
2026-06-24
Rank Moved
Rank dropped 35 spots (#274 → #309)
2026-06-23
Rank Moved
Rank dropped 23 spots (#251 → #274)
2026-06-22
Rank Moved
Rank dropped 10 spots (#241 → #251)
Maintainer Checklist
Declare an open license Publish a clear OSI-approved license so usage and maintenance terms are independently verifiable.
Raise Scorecard signals Current OSSF Scorecard is 1.2/10. Tighten the weakest checks to improve public safety evidence.
Publish provenance Add package provenance or release attestations so users can verify where shipped artifacts came from.
Increase signed commits Raise the share of verified-signed commits to make maintainer identity and release history easier to trust.
Review Flags
[4.1.1] no declared license (GitHub license field is null)
45.0
Activity Score · out of 100
31.4
HVTrust Score · out of 100
#311
Global Rank · of 328
#74

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. Evidence coverage A is separate — it grades how many independent signal types back the score (4 of 5), so a high score on thin evidence stays visible. Full methodology →

Signals refreshed 2026-07-11 04:00 UTC · Repo last pushed 161 days ago

Rank Trend

2026-07-05 2026-07-11

Activity & Reach

Stars
22.3k
Forks
2.9k
Last Push
2026-01-31
161 days ago
Commits (4 wk)
0
Downloads (7d)
53
pypi
HN mentions (30d)
14
Open Issues
20
Rank Change
=
was #311

Analysis

HVTrust Dimensions

31.4 / 100 · 100.0% confidence
Safety / IntegrityOSSF, provenance, signatures
3.5 / 25
Identity / ProvenanceListing and build link
10.8 / 18
TransparencyLicense and public checks
1.0 / 17
MaintenanceFreshness and commits
1.3 / 20
AdoptionStars and downloads
12.7 / 20

Activity Inputs

45.0 / 100
StarsRepository reach
26.1 / 30
FreshnessLast push recency
2.6 / 25
ActivityRecent commits
0.0 / 25
CommunityFork signal
16.1 / 20

Supply Chain Trust

Package Provenance
None
No package attestations found
OSSF Scorecard
1.2 / 10
OpenSSF Scorecard · scanned Jul 10, 2026
Signed Commits
40%
of last 100 commits verified
Binary-Artifacts 10
Branch-Protection 0
CI-Tests 0
CII-Best-Practices 0
Code-Review 0
Contributors 3
Dangerous-Workflow -1
Dependency-Update-Tool 0
Fuzzing 0
License 0
Maintained 0
Packaging -1
Pinned-Dependencies -1
SAST 0
Security-Policy 0
Signed-Releases -1
Token-Permissions -1
Vulnerabilities 0

Is BabyAGI safe?

Public trust evidence for BabyAGI 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 BabyAGI publish package provenance?
No published build provenance is currently detected for BabyAGI. This is common for open-source projects but means consumers cannot independently verify that the package on the registry matches the GitHub source.
Does BabyAGI have an OpenSSF Scorecard?
BabyAGI has an OpenSSF Scorecard score of 1.2/10. 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 BabyAGI actively maintained?
Slowing down. Last push was 161 days ago — keep an eye on whether activity resumes.
What license does BabyAGI use?
BabyAGI ships under no SPDX license detected. A declared, OSI-approved license is one of the transparency signals HVTrust scores.
Are BabyAGI's commits signed?
40% of the last 100 commits to BabyAGI 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.

Ranked neighbours in Agent Frameworks

AI agent 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
high confidence
Declared
Declared plugin/integration surface detected.
  • code
  • shell
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 BabyAGI'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.

2026-06-05
Tool Surface Changed
Detected tool/plugin surface changed: none → declared
2026-06-05
Provider Added
Runtime surface grew — new detected provider dependency: OpenAI

Maintain BabyAGI?

HVTrust scores BabyAGI 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

Rank 8HVTrust 1Grade 1Scorecard 1Warning Issued 1Surface 1Surface 1
2026-06-24
Rank Moved
Rank dropped 35 spots (#274 → #309)
2026-06-23
Rank Moved
Rank dropped 23 spots (#251 → #274)
2026-06-22
Rank Moved
Rank dropped 10 spots (#241 → #251)
2026-06-21
Rank Moved
Rank dropped 16 spots (#225 → #241)
2026-06-05
Tool Surface Changed
Detected tool/plugin surface changed: none → declared
2026-06-05
Provider Added
Runtime surface grew — new detected provider dependency: OpenAI
2026-06-03
Warning Issued
Warning: eligibility issues detected
2026-06-02
Rank Moved
Rank dropped 16 spots (#172 → #188)
2026-06-01
Rank Moved
Rank dropped 20 spots (#152 → #172)
2026-05-29
Rank Moved
Rank dropped 14 spots (#143 → #157)
2026-05-27
Scorecard Added
OSSF Scorecard: 1.2/10
2026-05-27
Grade Changed
Trust grade C → B
2026-05-27
HVTrust Changed
HVTrust up 10.5pts (24.2 → 34.7)
2026-05-25
Rank Moved
Rank dropped 57 spots (#78 → #135)

Embed Badge Badge guide for maintainers →

HVTrust 31.4 Grade D
Markdown:
[![HVTrust](https://hvtracker.net/badge/babyagi.svg)](https://hvtracker.net/agents/babyagi)
HTML:
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Other agents in Agent Frameworks

Data sources
GitHub REST API (repo, commits, stars, forks, license) · PyPI / pypistats (downloads, provenance) · OpenSSF Scorecard CLI · Algolia HN Search API
Each agent's signals refresh once daily across 6 staggered batches. Methodology v4.2 · Raw JSON