Is Agent 42 veilig?
Agent 42 — Nerq Trust Score 57.7/100 (D-beoordeling). Op basis van analyse van 5 vertrouwensdimensies wordt het beschouwd als heeft opmerkelijke beveiligingszorgen. Laatst bijgewerkt: 2026-07-16.
Gebruik Agent 42 met voorzichtigheid. Agent 42 is een software tool met een Nerq Vertrouwensscore van 57.7/100 (D), based on 5 onafhankelijke gegevensdimensies. Onder de geverifieerde drempel van Nerq Beveiliging: 0/100. Onderhoud: 1/100. Populariteit: 0/100. Gegevens afkomstig van meerdere openbare bronnen waaronder pakketregisters, GitHub, NVD, OSV.dev en OpenSSF Scorecard. Laatst bijgewerkt: 2026-07-16. Machineleesbare gegevens (JSON).
Is Agent 42 veilig?
CAUTION — Agent 42 has a Nerq Trust Score of 57.7/100 (D). Heeft matige vertrouwenssignalen maar toont enkele aandachtspunten that warrant attention. Suitable for development use — review beveiliging and onderhoud signals before production deployment.
Wat is de vertrouwensscore van Agent 42?
Agent 42 heeft een Nerq Trust Score van 57.7/100 met het cijfer D. Deze score is gebaseerd op 5 onafhankelijk gemeten dimensies, waaronder beveiliging, onderhoud en community-adoptie.
Wat zijn de belangrijkste beveiligingsbevindingen voor Agent 42?
Het sterkste signaal van Agent 42 is naleving met 100/100. Er zijn geen bekende kwetsbaarheden gedetecteerd. It has not yet reached the Nerq Verified threshold of 70+.
Wat is Agent 42 en wie onderhoudt het?
| Ontwikkelaar | JoaoHenriqueBarbosa |
| Categorie | Coding |
| Bron | https://github.com/JoaoHenriqueBarbosa/agent-42 |
| Frameworks | langchain · openai · anthropic |
| Protocols | rest |
Naleving van regelgeving
| EU AI Act Risk Class | MINIMAL |
| Compliance Score | 100/100 |
| Jurisdictions | Assessed across 52 jurisdicties |
Populaire alternatieven in coding
What Is Agent 42?
Agent 42 is a software tool in the coding category: Minimal autonomous coding agent using LLM API for simple tool-use loop.. Nerq Trust Score: 58/100 (D).
Nerq independently analyzes every software tool, app, and extension across multiple trust signals including beveiliging vulnerabilities, onderhoud activity, license naleving, and gemeenschapsacceptatie.
How Nerq Assesses Agent 42's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensies. Here is how Agent 42 performs in each:
- Beveiliging (0/100): Agent 42's beveiliging posture is poor. This score factors in known CVEs, dependency vulnerabilities, beveiliging policy presence, and code signing practices.
- Onderhoud (1/100): Agent 42 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 documentatie, usage examples, and contribution guidelines.
- Compliance (100/100): Agent 42 is broadly compliant. Assessed against regulations in 52 jurisdicties including the EU AI Act, CCPA, and GDPR.
- Community (0/100): Community adoption is limited. Gebaseerd op GitHub stars, forks, download counts, and ecosystem integrations.
The overall Trust Score of 57.7/100 (D) 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 Agent 42?
Agent 42 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: Agent 42 is suitable for development and testing environments. Before production deployment, conduct a thorough review of its beveiliging posture, review the specific trust signals above, and consider whether a higher-scored alternative meets your requirements.
How to Verify Agent 42's Safety Yourself
While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:
- Check the source code — Bekijk de repository's beveiliging policy, open issues, and recent commits for signs of active onderhoud.
- Scan dependencies — Use tools like
npm audit,pip-audit, orsnykto check for known vulnerabilities in Agent 42's dependency tree. - Beoordeling permissions — Understand what access Agent 42 requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Agent 42 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=agent-42 - Bekijk de license — Confirm that Agent 42'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 beveiliging concerns openly. Low community engagement may indicate limited peer review of the codebase.
Common Safety Concerns with Agent 42
When evaluating whether Agent 42 is safe, consider these category-specific risks:
Understand how Agent 42 processes, stores, and transmits your data. Bekijk de tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Agent 42's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher beveiliging risk.
Regularly check for updates to Agent 42. Beveiliging patches and bug fixes are only effective if you're running the latest version.
If Agent 42 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 Agent 42's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Agent 42 in violation of its license can expose your organization to legal liability.
Agent 42 and the EU AI Act
Agent 42 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 naleving assessment covers 52 jurisdicties worldwide. For organizations deploying AI tools in regulated environments, understanding these classifications is essential for legal naleving.
Best Practices for Using Agent 42 Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Agent 42 while minimizing risk:
Periodically review how Agent 42 is used in your workflow. Check for unexpected behavior, permissions drift, and naleving with your beveiliging policies.
Ensure Agent 42 and all its dependencies are running the latest stable versions to benefit from beveiliging patches.
Grant Agent 42 only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Agent 42's beveiliging advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Agent 42 is used within your organization, including data handling guidelines and acceptable use cases.
When Should You Avoid Agent 42?
Even promising tools aren't right for every situation. Consider avoiding Agent 42 in these scenarios:
- Production environments handling sensitive customer data
- Regulated industries (healthcare, finance, government) without additional naleving review
- Mission-critical systems where downtime has significant business impact
For each scenario, evaluate whether Agent 42's trust score of 57.7/100 meets your organization's risk tolerance. We recommend running a manual beveiliging assessment alongside the automated Nerq score.
How Agent 42 Compares 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. Agent 42's score of 57.7/100 is near the category average of 62/100.
This places Agent 42 in line with the typical coding 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 matig 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 Agent 42 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 onderhoud patterns change, Agent 42'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 beveiliging and quality. Conversely, a downward trend may signal reduced onderhoud, growing technical debt, or unresolved vulnerabilities. To track Agent 42's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=agent-42&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 — beveiliging, onderhoud, documentatie, naleving, and community — has evolved independently, providing granular visibility into which aspects of Agent 42 are strengthening or weakening over time.
Agent 42 vs Alternatieven
In the coding category, Agent 42 scores 57.7/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Agent 42 vs AutoGPT — Trust Score: 61.8/100
- Agent 42 vs ollama — Trust Score: 56.5/100
- Agent 42 vs langchain — Trust Score: 69.8/100
Belangrijkste conclusies
- Agent 42 has a Trust Score of 57.7/100 (D) and is not yet Nerq Verified.
- Agent 42 shows matig trust signals. Conduct thorough due diligence before deploying to production environments.
- Among coding tools, Agent 42 scores near the category average of 62/100, suggesting room for improvement relative to peers.
- Always verify safety independently — use Nerq's Preflight API for automated, up-to-date trust checks before integration.
Veelgestelde vragen
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Zie ook
Disclaimer: Nerq-vertrouwensscores zijn geautomatiseerde beoordelingen op basis van openbaar beschikbare signalen. Ze vormen geen aanbeveling of garantie. Voer altijd uw eigen verificatie uit.