Is Agentkit Safe?

Agentkit — Nerq Trust Score 56.2/100 (C grade). Based on analysis of 2 trust dimensions, it is has notable safety concerns. Last updated: 2026-07-11.

Use Agentkit with some caution. Agentkit is a Python package with a Nerq Trust Score of 56.2/100 (C), based on 3 independent data dimensions. Below the recommended threshold of 70. Security: 90/100. Popularity: 15/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-20. Machine-readable data (JSON).

Is Agentkit safe?

CAUTION — Agentkit has a Nerq Trust Score of 56.2/100 (C). It has moderate trust signals but shows some areas of concern that warrant attention. Suitable for development use — review security and maintenance signals before production deployment.

Security Analysis → Agentkit Privacy Report →

What is Agentkit's trust score?

Agentkit has a Nerq Trust Score of 56.2/100, earning a C grade. This score is based on 2 independently measured dimensions including security, maintenance, and community adoption.

Security
90
Popularity
15

What are the key security findings for Agentkit?

Agentkit's strongest signal is security at 90/100. No known vulnerabilities have been detected. It has not yet reached the Nerq Verified threshold of 70+.

Security score: 90/100 (strong)
Popularity: 15/100 — community adoption

What is Agentkit and who maintains it?

AuthorVikram Kumar
CategoryPython Packages
SourceN/A

Agentkit Across Platforms

Same developer/company in other registries:

agentkit
50/100 · crates

Similar Pypi by Trust Score

azure-mgmt-recoveryservices (66)boto3-type-annotations (66)azure-monitor-ingestion (66)browserforge (66)azure-mgmt-machinelearningcompute (66)
See all safest Pypi →

Compare

Agentkit vs azure-mgmt-recoveryservicesAgentkit vs boto3-type-annotationsAgentkit vs azure-monitor-ingestion

Safety Guide: Agentkit

What is Agentkit?

Agentkit is a Python package — A simple framework for creating distributed llm agent swarms.

How to Verify Safety

Run pip audit or safety check. Review on PyPI for download stats.

You can also check the trust score via API: GET /v1/preflight?target=agentkit

Key Safety Concerns for Python package

When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.

Trust Assessment

Agentkit has a Nerq Trust Score of 56/100 (C) and has not yet reached Nerq trust threshold (70+). This score is based on automated analysis of security, maintenance, community, and quality signals.

Key Takeaways

Frequently Asked Questions

Is Agentkit Safe?
Use with some caution. agentkit with a Nerq Trust Score of 56.2/100 (C). Strongest signal: security (90/100). Score based on Security (90/100), Popularity (15/100).
What is Agentkit's trust score?
agentkit: 56.2/100 (C). Score based on Security (90/100), Popularity (15/100). Scores update as new data becomes available. API: GET nerq.ai/v1/preflight?target=agentkit
What are safer alternatives to Agentkit?
In the Python Packages category, more Python packages are being analyzed — check back soon. agentkit scores 56.2/100.
Does Agentkit have known vulnerabilities?
Nerq checks Agentkit against NVD, OSV.dev, and registry-specific vulnerability databases. Current security score: 90/100. Run your package manager's audit command for the latest findings.
Is Agentkit actively maintained?
Agentkit maintenance score: N/A. Check the repository for recent commit activity and issue responsiveness.
API: /v1/preflight Trust Badge API Docs

See Also

Disclaimer: Nerq trust scores are automated assessments based on publicly available signals. They are not endorsements or guarantees. Always conduct your own due diligence.

We use cookies for analytics and caching. Privacy