Moltbrain est-il sûr ?

Moltbrain — Nerq Trust Score 62.0/100 (Note C). Score basé sur 4 independent trust signals.

Moltbrain est un software tool avec un Nerq Trust Score de 62.0/100 (C), basé sur 4 dimensions de données indépendantes. Maintenance: 0/100. Popularité: 1/100. Données de plusieurs sources publiques dont les registres de paquets, GitHub, NVD, OSV.dev et OpenSSF Scorecard. Dernière mise à jour: n/a. Données lisibles par machine (JSON).

Moltbrain est-il sûr ?

Détail du score de confiance — Moltbrain has a Nerq Trust Score of 62.0/100 (C). Measured across 4 independent trust signals.

Analyse de Sécurité → Rapport de confidentialité de Moltbrain →

Quel est le score de confiance de Moltbrain ?

Moltbrain a un Score de Confiance Nerq de 62.0/100, obtenant la note C. Ce score est basé sur 4 dimensions mesurées indépendamment.

Conformité
96
Maintenance
0
Documentation
0
Popularité
1

Quels sont les résultats de sécurité clés pour Moltbrain ?

Le signal le plus fort de Moltbrain est conformité à 96/100. Aucune vulnérabilité connue n'a été détectée.

Maintenance: 0/100 — faible activité de maintenance
Conformité: 96/100 — covers 49 of 52 jurisdictions
Documentation: 0/100 — documentation limitée
Popularité: 1/100 — 355 étoiles sur mcp registry

Qu'est-ce que Moltbrain et qui le maintient ?

Auteurnhevers
CatégorieInfrastructure
Étoiles355
Sourcehttps://github.com/nhevers/MoltBrain
Protocolsmcp

Conformité réglementaire

EU AI Act Risk ClassNot assessed
Compliance Score96/100
JurisdictionsAssessed across 52 jurisdictions

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What Is Moltbrain?

Moltbrain is a software tool in the infrastructure category: Long-term memory layer for OpenClaw & MoltBook agents that learns and recalls your project context automatically.. It has 355 GitHub stars. Nerq Trust Score: 62/100 (C).

Nerq independently analyzes every software tool, app, and extension across multiple trust signals including sécurité vulnerabilities, maintenance activity, license conformité, and adoption par la communauté.

How Nerq Assesses Moltbrain's Safety

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

The overall Trust Score of 62.0/100 (C) 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 Moltbrain?

Moltbrain is commonly evaluated by:

How to read the signals: Moltbrain's measured signals (maintenance 0/100, documentation 0/100, community 1/100) 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 Moltbrain's Safety Yourself

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

  1. Check the source code — Examiner le/la repository sécurité policy, open issues, and recent commits for signs of active maintenance.
  2. Scan dependencies — Use tools like npm audit, pip-audit, or snyk to check for known vulnerabilities in Moltbrain's dependency tree.
  3. Avis permissions — Understand what access Moltbrain requires. Software tools should follow the principle of least privilege.
  4. Test in isolation — Run Moltbrain 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=MoltBrain
  6. Examiner le/la license — Confirm that Moltbrain'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 sécurité concerns openly. Low community engagement may indicate limited peer review of the codebase.

Common Safety Concerns with Moltbrain

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

Data handling

Understand how Moltbrain processes, stores, and transmits your data. Examiner le/la tool's privacy policy and data retention practices, especially for sensitive or proprietary information.

Dependency sécurité

Check Moltbrain's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher sécurité risk.

Update frequency

Regularly check for updates to Moltbrain. Sécurité patches and bug fixes are only effective if you're running the latest version.

Third-party integrations

If Moltbrain 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.

License and IP conformité

Verify that Moltbrain's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Moltbrain in violation of its license can expose your organization to legal liability.

Best Practices for Using Moltbrain Safely

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

Conduct regular audits

Periodically review how Moltbrain is used in your workflow. Check for unexpected behavior, permissions drift, and conformité with your sécurité policies.

Keep dependencies updated

Ensure Moltbrain and all its dependencies are running the latest stable versions to benefit from sécurité patches.

Follow least privilege

Grant Moltbrain only the minimum permissions it needs to function. Avoid granting admin or root access.

Monitor for sécurité advisories

Subscribe to Moltbrain's sécurité advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.

Document usage policies

Create and maintain a clear policy for how Moltbrain is used within your organization, including data handling guidelines and acceptable use cases.

Situations That Warrant Independent Review of Moltbrain

Nerq's signals are one input. In the following situations, evaluate Moltbrain's measured signals against your own requirements before making a decision:

For each situation, compare Moltbrain's measured trust score of 62.0/100 and its individual signals against your organization's own criteria. Nerq does not assert whether Moltbrain is suitable for any particular use.

How Moltbrain Compares to Industry Standards

Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among infrastructure tools, the average Trust Score is 62/100. Moltbrain's score of 62.0/100 is near the category average of 62/100.

This places Moltbrain in line with the typical infrastructure 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 modéré 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 Moltbrain 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 maintenance patterns change, Moltbrain'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 sécurité and quality. Conversely, a downward trend may signal reduced maintenance, growing technical debt, or unresolved vulnerabilities. To track Moltbrain's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=MoltBrain&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 — sécurité, maintenance, documentation, conformité, and community — has evolved independently, providing granular visibility into which aspects of Moltbrain are strengthening or weakening over time.

Moltbrain vs Alternatives

In the infrastructure category, Moltbrain scores 62.0/100. There are higher-scoring alternatives available. For a detailed comparison, see:

Points Essentiels

Questions fréquentes

Moltbrain est-il sûr ?
MoltBrain avec un Nerq Trust Score de 62.0/100 (C). Signal le plus fort : conformité (96/100). Score basé sur Maintenance (0/100), Popularité (1/100), Documentation (0/100).
Quel est le score de confiance de Moltbrain ?
MoltBrain: 62.0/100 (C). Score basé sur Maintenance (0/100), Popularité (1/100), Documentation (0/100). Compliance: 96/100. Les scores sont mis à jour lorsque de nouvelles données sont disponibles. API: GET nerq.ai/v1/preflight?target=MoltBrain
Quelles sont les alternatives plus sûres à Moltbrain ?
Dans la catégorie Infrastructure, higher-rated alternatives include n8n-io/n8n (73/100), langflow-ai/langflow (65/100), langgenius/dify (64/100). MoltBrain scores 62.0/100.
À quelle fréquence le score de sécurité de Moltbrain est-il mis à jour ?
Nerq recomputes Moltbrain's trust score as new data becomes available. Current: 62.0/100 (C). API: GET nerq.ai/v1/preflight?target=MoltBrain
Puis-je utiliser Moltbrain dans un environnement réglementé ?
Moltbrain: 62.0/100 (C). Compliance: 49 of 52 jurisdictions. Evaluate against your own regulatory requirements.
API: /v1/preflight Trust Badge API Docs

Voir aussi

Disclaimer: Les scores de confiance Nerq sont des évaluations automatisées basées sur des signaux publiquement disponibles. Ce ne sont pas des recommandations ou des garanties. Effectuez toujours votre propre vérification.

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