Безопасен ли Ollama Agent?
Ollama Agent — Nerq Trust Score 59.9/100 (Оценка D). Рейтинг основан на 5 independent trust signals.
Ollama Agent — это software tool с рейтингом доверия Nerq 59.9/100 (D), based on 5 независимых показателей данных. 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: n/a. Машинночитаемые данные (JSON).
Безопасен ли Ollama Agent?
Детали рейтинга доверия — Ollama Agent has a Nerq Trust Score of 59.9/100 (D). Measured across 5 independent trust signals.
Каков рейтинг доверия Ollama Agent?
Ollama Agent имеет Nerq Trust Score 59.9/100 с оценкой D. Этот балл основан на 5 независимо измеренных параметрах, включая безопасность, обслуживание и принятие сообществом.
Каковы основные выводы по безопасности Ollama Agent?
Самый сильный сигнал Ollama Agent — соответствие на уровне 100/100. Известных уязвимостей не обнаружено.
Что такое Ollama Agent и кто его поддерживает?
| Разработчик | arrase |
| Категория | Other |
| Звёзды | 1 |
| Источник | https://github.com/arrase/ollama-agent |
| Frameworks | langchain · openai · ollama |
| Protocols | mcp · rest |
Соответствие нормативам
| EU AI Act Risk Class | MINIMAL |
| Compliance Score | 100/100 |
| Jurisdictions | Assessed across 52 jurisdictions |
Популярные альтернативы в other
What Is Ollama Agent?
Ollama Agent is a software tool in the other category: Ollama Agent is a powerful CLI tool for interacting with local AI models.. It has 1 GitHub stars. Nerq Trust Score: 60/100 (D).
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 Ollama Agent's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five показателей. Here is how Ollama Agent performs in each:
- Безопасность (0/100): Ollama Agent's безопасность posture is poor. This score factors in known CVEs, dependency vulnerabilities, безопасность policy presence, and code signing practices.
- Обслуживание (1/100): Ollama Agent 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 (100/100): Ollama Agent 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 59.9/100 (D) is the weighted combination of these measured signals. It is a measurement, not a pass/fail or suitability judgment — weigh the individual signals against your own requirements.
Who Typically Evaluates Ollama Agent?
Ollama Agent is commonly evaluated by:
- Developers and teams working with other tools
- Organizations evaluating AI tools for their stack
- Researchers exploring AI capabilities in this domain
How to read the signals: Ollama Agent's measured signals (безопасность 0/100, обслуживание 1/100, документация 1/100, community 0/100) are shown above. These are measurements, not a suitability judgment — weigh each signal against the requirements of your own use case and risk tolerance.
How to Verify Ollama Agent'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 Ollama Agent's dependency tree. - Отзыв permissions — Understand what access Ollama Agent requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Ollama Agent 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=ollama-agent - Проверьте license — Confirm that Ollama Agent'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 Ollama Agent
When evaluating whether Ollama Agent is safe, consider these category-specific risks:
Understand how Ollama Agent processes, stores, and transmits your data. Проверьте tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Ollama Agent's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher безопасность risk.
Regularly check for updates to Ollama Agent. Безопасность patches and bug fixes are only effective if you're running the latest version.
If Ollama Agent 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 Ollama Agent's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Ollama Agent in violation of its license can expose your organization to legal liability.
Ollama Agent and the EU AI Act
Ollama Agent 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 Ollama Agent Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Ollama Agent while minimizing risk:
Periodically review how Ollama Agent is used in your workflow. Check for unexpected behavior, permissions drift, and соответствие with your безопасность policies.
Ensure Ollama Agent and all its dependencies are running the latest stable versions to benefit from безопасность patches.
Grant Ollama Agent only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Ollama Agent's безопасность advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Ollama Agent is used within your organization, including data handling guidelines and acceptable use cases.
Situations That Warrant Independent Review of Ollama Agent
Nerq's signals are one input. In the following situations, evaluate Ollama Agent's measured signals against your own requirements before making a decision:
- Environments handling sensitive or regulated data (healthcare, finance, government)
- Mission-critical systems where downtime has significant business impact
- Deployments with strict regulatory requirements that must be independently validated
For each situation, compare Ollama Agent's measured trust score of 59.9/100 and its individual signals against your organization's own criteria. Nerq does not assert whether Ollama Agent is suitable for any particular use.
How Ollama Agent Compares to Industry Standards
Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among other tools, the average Trust Score is 62/100. Ollama Agent's score of 59.9/100 is near the category average of 62/100.
This places Ollama Agent in line with the typical other tool tool. It meets baseline expectations but does not distinguish itself from peers on trust metrics.
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 Ollama Agent 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, Ollama Agent'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 Ollama Agent's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=ollama-agent&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 Ollama Agent are strengthening or weakening over time.
Ollama Agent vs Альтернативы
In the other category, Ollama Agent scores 59.9/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Ollama Agent vs cs-video-courses — Trust Score: 59.9/100
- Ollama Agent vs awesome-scalability — Trust Score: 59.4/100
- Ollama Agent vs superpowers — Trust Score: 62.4/100
Основные выводы
- Ollama Agent has a measured Nerq Trust Score of 59.9/100 (D) — a composite of independent signals, not a suitability judgment.
- Among other tools, Ollama Agent scores near the category average of 62/100 (a positional measurement relative to peers).
- The individual signals — безопасность, обслуживание, документация, соответствие, community — are shown above. Weigh them against your own requirements.
- Query the current measured values via Nerq's Preflight API.
Часто задаваемые вопросы
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См. также
Disclaimer: Рейтинги доверия Nerq — это автоматические оценки, основанные на публично доступных сигналах. Они не являются рекомендацией или гарантией. Всегда проводите собственную проверку.