Is Autogen Agent Safe?
Autogen Agent — Nerq Trust Score 48.8/100 (D grade). Based on analysis of 2 trust dimensions, it is has notable safety concerns. Last updated: 2026-05-21.
Exercise caution with Autogen Agent. Autogen Agent is a Python package with a Nerq Trust Score of 48.8/100 (D), 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 Autogen Agent safe?
NO — USE WITH CAUTION — Autogen Agent has a Nerq Trust Score of 48.8/100 (D). It has below-average trust signals with significant gaps in security, maintenance, or documentation. Not recommended for production use without thorough manual review and additional security measures.
What is Autogen Agent's trust score?
Autogen Agent has a Nerq Trust Score of 48.8/100, earning a D grade. This score is based on 2 independently measured dimensions including security, maintenance, and community adoption.
What are the key security findings for Autogen Agent?
Autogen Agent'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+.
What is Autogen Agent and who maintains it?
| Author | AutoGen Developers |
| Category | Python Packages |
| Source | N/A |
Similar Pypi by Trust Score
Safety Guide: Autogen Agent
What is Autogen Agent?
Autogen Agent is a Python package — AutoGen Agents.
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=autogen-agent
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Trust Assessment
Autogen Agent has a Nerq Trust Score of 49/100 (D) 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
- Autogen Agent has a Trust Score of 49/100 (D).
- Review carefully before use — below trust threshold.
- Always verify independently using the Nerq API.
Detailed Score Analysis
| Dimension | Score |
|---|---|
| Security | 90/100 |
| Maintenance | 51/100 |
| Popularity | 15/100 |
| Quality | 30/100 |
| Community | 35/100 |
Based on 5 dimensions. Data from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard.
What data does Autogen Agent collect?
Privacy assessment for Autogen Agent is not yet available. See our methodology for how Nerq measures privacy, or the public privacy review for any community-contributed notes.
Is Autogen Agent secure?
Security score: 90/100. Autogen Agent has 0 known vulnerabilities (CVEs) in the National Vulnerability Database. This is a clean record.
License information not available. Open-source packages allow independent security review of the source code.
Run your package manager's audit command (`npm audit`, `pip audit`, `cargo audit`) to check for known vulnerabilities in your dependency tree.
Full analysis: Autogen Agent Security Report
How we calculated this score
Autogen Agent's trust score of 48.8/100 (D) is computed from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. The score reflects 5 independent dimensions: security (90/100), maintenance (51/100), popularity (15/100), quality (30/100), community (35/100). Each dimension is weighted equally to produce the composite trust score.
Nerq analyzes over 7.5 million entities across 26 registries using the same methodology, enabling direct cross-entity comparison. Scores are updated continuously as new data becomes available.
This page was last reviewed on May 21, 2026. Data version: 0.0.
Full methodology documentation · Machine-readable data (JSON API)
Frequently Asked Questions
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Disclaimer: Nerq trust scores are automated assessments based on publicly available signals. They are not endorsements or guarantees. Always conduct your own due diligence.