Ist Daimon sicher?

Ist Daimon sicher?

CAUTION — Daimon hat eine Nerq-Vertrauensbewertung von 63.5/100 (C). Es hat moderat Vertrauenssignale, zeigt aber einige Problembereiche that warrant attention. Suitable for development use — review Sicherheit and Wartung signals before production deployment.

What Is Daimon?

Daimon is a software tool in the coding category: Daimon is an open-source framework for developing personal AI agents with a conscience.. Nerq Trust Score: 64/100 (C).

Nerq independently analyzes every software tool, app, and extension across multiple trust signals including Sicherheit vulnerabilities, Wartung activity, license Konformität, and Community-Akzeptanz.

How Nerq Assesses Daimon's Safety

Nerq's Trust Score is calculated from 13+ independent signals aggregated into five Dimensionen. Here is how Daimon performs in each:

• Sicherheit (0/100): Daimon's Sicherheit posture is poor. This score factors in known CVEs, dependency vulnerabilities, Sicherheit policy presence, and code signing practices.
• Wartung (1/100): Daimon 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 Dokumentation, usage examples, and contribution guidelines.
• Compliance (97/100): Daimon is broadly compliant. Assessed against regulations in 52 jurisdictions including the EU AI Act, CCPA, and GDPR.
• Community (0/100): Community adoption is limited. Basierend auf GitHub stars, forks, download counts, and ecosystem integrations.

The overall Trust Score of 63.5/100 (C) reflects the weighted combination of these signals. This is below the Nerq Verified threshold of 70. We recommend additional due diligence before production deployment.

Who Should Use Daimon?

Daimon is designed for:

• Developers and teams working with coding tools
• Organizations evaluating AI tools for their stack
• Researchers exploring AI capabilities in this domain

Risk guidance: Daimon is suitable for development and testing environments. Before production deployment, conduct a thorough review of its Sicherheit posture, review the specific trust signals above, and consider whether a higher-scored alternative meets your requirements.

How to Verify Daimon's Safety Yourself

While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:

1. Check the source code — Überprüfen Sie das/die repository's Sicherheit policy, open issues, and recent commits for signs of active Wartung.
2. Scan dependencies — Use tools like npm audit, pip-audit, or snyk to check for known vulnerabilities in Daimon's dependency tree.
3. Bewertung permissions — Understand what access Daimon requires. Software tools should follow the principle of least privilege.
4. Test in isolation — Run Daimon in a sandboxed environment before granting access to production data or systems.
5. Monitor continuously — Use Nerq's API to set up automated trust checks: GET nerq.ai/v1/preflight?target=daimon
6. Überprüfen Sie das/die license — Confirm that Daimon'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.
7. 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 Sicherheit concerns openly. Low community engagement may indicate limited peer review of the codebase.

Common Safety Concerns with Daimon

When evaluating whether Daimon is safe, consider these category-specific risks:

Daimon and the EU AI Act

Daimon 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 Konformität assessment covers 52 jurisdictions worldwide. For organizations deploying AI tools in regulated environments, understanding these classifications is essential for legal Konformität.

Best Practices for Using Daimon Safely

Whether you're an individual developer or an enterprise team, these practices will help you get the most from Daimon while minimizing risk:

When Should You Avoid Daimon?

Even promising tools aren't right for every situation. Consider avoiding Daimon in these scenarios:

• Production environments handling sensitive customer data
• Regulated industries (healthcare, finance, government) without additional Konformität review
• Mission-critical systems where downtime has significant business impact

For each scenario, evaluate whether Daimon von 63.5/100 meets your organization's risk tolerance. We recommend running a manual Sicherheit assessment alongside the automated Nerq score.

How Daimon Vergleichens to Industry Standards

Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among coding tools, the average Trust Score is 62/100. Daimon's score of 63.5/100 is above the category average of 62/100.

This positions Daimon favorably among coding tools. While it outperforms the average, there is still room for improvement in certain trust Dimensionen.

Industry benchmarks matter because they contextualize a tool's safety profile. A score that looks moderat 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 Daimon 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 Wartung patterns change, Daimon'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 Sicherheit and quality. Conversely, a downward trend may signal reduced Wartung, growing technical debt, or unresolved vulnerabilities. To track Daimon's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=daimon&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 — Sicherheit, Wartung, Dokumentation, Konformität, and community — has evolved independently, providing granular visibility into which aspects of Daimon are strengthening or weakening over time.

Daimon vs Alternativen

In the coding category, Daimon erzielt 63.5/100. There are higher-scoring alternatives available. For a detailed comparison, see:

• Daimon vs AutoGPT — Trust Score: 74.7/100
• Daimon vs ollama — Trust Score: 73.8/100
• Daimon vs langchain — Trust Score: 86.4/100

Wichtigste Punkte

• Daimon hat eine Vertrauensbewertung von 63.5/100 (C) and is not yet Nerq Verified.
• Daimon shows moderat trust signals. Conduct thorough due diligence before deploying to production environments.
• Among coding tools, Daimon erzielt above the category average of 62/100, demonstrating above-average reliability.
• Always verify safety independently — use Nerq's Preflight API for automated, up-to-date trust checks before integration.