Безопасен ли Agentron?
Agentron — Nerq Trust Score 72.6/100 (Оценка B). На основе анализа 5 измерений доверия, считается в целом безопасным, но с некоторыми опасениями. Последнее обновление: 2026-04-19.
Да, Agentron безопасен для использования. Agentron — это software tool с рейтингом доверия Nerq 72.6/100 (B), based on 5 независимых показателей данных. Рекомендуется к использованию. Безопасность: 0/100. Обслуживание: 1/100. Популярность: 0/100. Данные из множественные публичные источники, включая реестры пакетов, GitHub, NVD, OSV.dev и OpenSSF Scorecard. Последнее обновление: 2026-04-19. Машинночитаемые данные (JSON).
Безопасен ли Agentron?
YES — Agentron has a Nerq Trust Score of 72.6/100 (B). Соответствует порогу доверия Nerq с сильными сигналами в области безопасности, обслуживания и принятия сообществом. Рекомендуется к использованию — ознакомьтесь с полным отчётом ниже для уточнения.
Каков рейтинг доверия Agentron?
Agentron имеет Nerq Trust Score 72.6/100 с оценкой B. Этот балл основан на 5 независимо измеренных параметрах, включая безопасность, обслуживание и принятие сообществом.
Каковы основные выводы по безопасности Agentron?
Самый сильный сигнал Agentron — соответствие на уровне 92/100. Известных уязвимостей не обнаружено. It meets the Nerq Verified threshold of 70+.
Что такое Agentron и кто его поддерживает?
| Разработчик | cap-jmk-real |
| Категория | Devops |
| Источник | https://github.com/cap-jmk-real/agentron |
Соответствие нормативам
| EU AI Act Risk Class | MINIMAL |
| Compliance Score | 92/100 |
| Jurisdictions | Assessed across 52 jurisdictions |
Популярные альтернативы в devops
What Is Agentron?
Agentron is a DevOps tool: Agentron is an enterprise-ready local AI agent orchestration and automation tool.. Nerq Trust Score: 73/100 (B).
Nerq independently analyzes every software tool, app, and extension across multiple trust signals including безопасность vulnerabilities, обслуживание activity, license соответствие, and принятие сообществом.
How Nerq Assesses Agentron's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five показателей. Here is how Agentron performs in each:
- Безопасность (0/100): Agentron's безопасность posture is poor. This score factors in known CVEs, dependency vulnerabilities, безопасность policy presence, and code signing practices.
- Обслуживание (1/100): Agentron is potentially abandoned. We track commit frequency, release cadence, issue response times, and PR merge rates.
- Documentation (1/100): Documentation quality is insufficient. This includes README completeness, API документация, usage examples, and contribution guidelines.
- Compliance (92/100): Agentron is broadly compliant. Assessed against regulations in 52 jurisdictions including the EU AI Act, CCPA, and GDPR.
- Community (0/100): Community adoption is limited. На основе GitHub stars, forks, download counts, and ecosystem integrations.
The overall Trust Score of 72.6/100 (B) reflects the weighted combination of these signals. This exceeds the Nerq Verified threshold of 70, indicating the tool meets our standards for production use.
Who Should Use Agentron?
Agentron is designed for:
- Developers and teams working with devops tools
- Organizations evaluating AI tools for their stack
- Researchers exploring AI capabilities in this domain
Risk guidance: Agentron meets the minimum threshold for production use, but we recommend monitoring for безопасность advisories and keeping dependencies up to date. Consider implementing additional guardrails for sensitive workloads.
How to Verify Agentron's Safety Yourself
While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:
- Check the source code — Проверьте repository's безопасность policy, open issues, and recent commits for signs of active обслуживание.
- Scan dependencies — Use tools like
npm audit,pip-audit, orsnykto check for known vulnerabilities in Agentron's dependency tree. - Отзыв permissions — Understand what access Agentron requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Agentron in a sandboxed environment before granting access to production data or systems.
- Monitor continuously — Use Nerq's API to set up automated trust checks:
GET nerq.ai/v1/preflight?target=agentron - Проверьте license — Confirm that Agentron's license is compatible with your intended use case. Pay attention to restrictions on commercial use, redistribution, and derivative works. Some AI tools use dual licensing or have separate terms for enterprise customers that differ from the open-source license.
- Check community signals — Look at the project's issue tracker, discussion forums, and social media presence. A healthy community actively reports bugs, contributes fixes, and discusses безопасность concerns openly. Low community engagement may indicate limited peer review of the codebase.
Common Safety Concerns with Agentron
When evaluating whether Agentron is safe, consider these category-specific risks:
Understand how Agentron processes, stores, and transmits your data. Проверьте tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Agentron's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher безопасность risk.
Regularly check for updates to Agentron. Безопасность patches and bug fixes are only effective if you're running the latest version.
If Agentron connects to external APIs or services, each integration point is a potential attack surface. Audit all third-party connections, verify that data shared with external services is minimized, and ensure that integration credentials are rotated regularly.
Verify that Agentron's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Agentron in violation of its license can expose your organization to legal liability.
Agentron and the EU AI Act
Agentron is classified as Minimal Risk under the EU AI Act. This is the lowest risk category, meaning it faces minimal regulatory requirements. However, transparency obligations still apply.
Nerq's соответствие assessment covers 52 jurisdictions worldwide. For organizations deploying AI tools in regulated environments, understanding these classifications is essential for legal соответствие.
Best Practices for Using Agentron Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Agentron while minimizing risk:
Periodically review how Agentron is used in your workflow. Check for unexpected behavior, permissions drift, and соответствие with your безопасность policies.
Ensure Agentron and all its dependencies are running the latest stable versions to benefit from безопасность patches.
Grant Agentron only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Agentron's безопасность advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Agentron is used within your organization, including data handling guidelines and acceptable use cases.
When Should You Avoid Agentron?
Even well-trusted tools aren't right for every situation. Consider avoiding Agentron in these scenarios:
- Scenarios where Agentron's specific capabilities exceed your actual needs — simpler tools may be safer
- Air-gapped environments where the tool cannot receive безопасность updates
- Projects with strict regulatory requirements that haven't been explicitly validated
For each scenario, evaluate whether Agentron's trust score of 72.6/100 meets your organization's risk tolerance. The Nerq Verified status indicates general production readiness, but sector-specific requirements may apply.
How Agentron Compares to Industry Standards
Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among DevOps tools, the average Trust Score is 63/100. Agentron's score of 72.6/100 is above the category average of 63/100.
This positions Agentron favorably among DevOps tools. While it outperforms the average, there is still room for improvement in certain trust показателей.
Industry benchmarks matter because they contextualize a tool's safety profile. A score that looks умеренный in isolation may actually represent strong performance within a challenging category — or vice versa. Nerq's category-relative analysis helps teams make informed decisions by showing not just absolute quality, but how a tool ranks against its direct peers.
Trust Score History
Nerq continuously monitors Agentron and recalculates its Trust Score as new data becomes available. Our scoring engine ingests real-time signals from source repositories, vulnerability databases (NVD, OSV.dev), package registries, and community metrics. When a new CVE is published, a major release ships, or обслуживание patterns change, Agentron's score is updated within 24 hours.
Historical trust trends reveal whether a tool is improving, stable, or declining over time. A tool that consistently maintains or improves its score demonstrates ongoing commitment to безопасность and quality. Conversely, a downward trend may signal reduced обслуживание, growing technical debt, or unresolved vulnerabilities. To track Agentron's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=agentron&include=history
Nerq retains trust score snapshots at regular intervals, enabling trend analysis across weeks and months. Enterprise users can access detailed historical reports showing how each dimension — безопасность, обслуживание, документация, соответствие, and community — has evolved independently, providing granular visibility into which aspects of Agentron are strengthening or weakening over time.
Agentron vs Альтернативы
In the devops category, Agentron scores 72.6/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Agentron vs ansible — Trust Score: 84.3/100
- Agentron vs Flowise — Trust Score: 76.9/100
- Agentron vs learn-claude-code — Trust Score: 81.5/100
Основные выводы
- Agentron has a Trust Score of 72.6/100 (B) and is Nerq Verified.
- Agentron meets the minimum threshold for production deployment, though monitoring and additional guardrails are recommended.
- Among DevOps tools, Agentron scores above the category average of 63/100, demonstrating above-average reliability.
- Always verify safety independently — use Nerq's Preflight API for automated, up-to-date trust checks before integration.
Часто задаваемые вопросы
Безопасен ли Agentron?
Каков рейтинг доверия Agentron?
Какие более безопасные альтернативы Agentron?
Как часто обновляется оценка безопасности Agentron?
Могу ли я использовать Agentron в регулируемой среде?
См. также
Disclaimer: Рейтинги доверия Nerq — это автоматические оценки, основанные на публично доступных сигналах. Они не являются рекомендацией или гарантией. Всегда проводите собственную проверку.