Opencode Momo è sicuro?
Opencode Momo — Nerq Punteggio di fiducia 64.9/100 (Grado C). Sulla base dell'analisi di 5 dimensioni di fiducia, è generalmente sicuro ma con alcune preoccupazioni. Ultimo aggiornamento: 2026-04-02.
Usa Opencode Momo con cautela. Opencode Momo is a software tool con un Punteggio di fiducia Nerq di 64.9/100 (C), based on 5 dimensioni di dati indipendenti. È al di sotto della soglia raccomandata di 70. Sicurezza: 0/100. Manutenzione: 1/100. Popularity: 0/100. Dati provenienti da multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Ultimo aggiornamento: 2026-04-02. Dati leggibili dalle macchine (JSON).
Opencode Momo è sicuro?
CAUTELA — Opencode Momo ha un Punteggio di fiducia Nerq di 64.9/100 (C). Ha segnali di fiducia moderati ma mostra alcune aree di preoccupazione che meritano attenzione. Adatto per l'uso in sviluppo — verifica i segnali di sicurezza e manutenzione prima del deployment in produzione.
Qual è il punteggio di fiducia di Opencode Momo?
Opencode Momo ha un Punteggio di fiducia Nerq di 64.9/100, earning a C grade. This score is based on 5 independently measured dimensioni including sicurezza, manutenzione, and adozione della comunità.
Quali sono i risultati di sicurezza chiave per Opencode Momo?
Opencode Momo's strongest signal is conformità at 100/100. No known vulnerabilities have been detected. It has not yet reached the Nerq Verified threshold of 70+.
Cos'è Opencode Momo e chi lo mantiene?
| Autore | momomemory |
| Categoria | coding |
| Fonte | https://github.com/momomemory/opencode-momo |
| Protocols | rest |
Conformità normativa
| EU AI Act Risk Class | MINIMAL |
| Compliance Score | 100/100 |
| Jurisdictions | Assessed across 52 jurisdictions |
Alternative popolari in coding
What Is Opencode Momo?
Opencode Momo is a software tool in the coding category: OpenCode plugin for persistent memory using Momo.. Nerq Punteggio di fiducia: 65/100 (C).
Nerq independently analyzes every software tool, app, and extension across multiple trust signals including sicurezza vulnerabilities, manutenzione activity, license conformità, and adozione della comunità.
How Nerq Assesses Opencode Momo's Safety
Nerq's Punteggio di fiducia is calculated from 13+ independent signals aggregated into five dimensioni. Here is how Opencode Momo performs in each:
- Sicurezza (0/100): Opencode Momo's sicurezza posture is poor. This score factors in known CVEs, dependency vulnerabilities, sicurezza policy presence, and code signing practices.
- Manutenzione (1/100): Opencode Momo 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 documentazione, usage examples, and contribution guidelines.
- Compliance (100/100): Opencode Momo is broadly compliant. Assessed against regulations in 52 jurisdictions including the EU AI Act, CCPA, and GDPR.
- Community (0/100): Community adoption is limited. Basato su GitHub stars, forks, download counts, and ecosystem integrations.
The overall Punteggio di fiducia of 64.9/100 (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 Opencode Momo?
Opencode Momo 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: Opencode Momo is suitable for development and testing environments. Before production deployment, conduct a thorough review of its sicurezza posture, review the specific trust signals above, and consider whether a higher-scored alternative meets your requirements.
How to Verify Opencode Momo's Safety Yourself
While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:
- Check the source code — Controlla repository's sicurezza policy, open issues, and recent commits for signs of active manutenzione.
- Scan dependencies — Use tools like
npm audit,pip-audit, orsnykto check for known vulnerabilities in Opencode Momo's dependency tree. - Recensione permissions — Understand what access Opencode Momo requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Opencode Momo 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=opencode-momo - Controlla license — Confirm that Opencode Momo'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 sicurezza concerns openly. Low community engagement may indicate limited peer review of the codebase.
Common Safety Concerns with Opencode Momo
When evaluating whether Opencode Momo is safe, consider these category-specific risks:
Understand how Opencode Momo processes, stores, and transmits your data. Controlla tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Opencode Momo's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher sicurezza risk.
Regularly check for updates to Opencode Momo. Sicurezza patches and bug fixes are only effective if you're running the latest version.
If Opencode Momo 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 Opencode Momo's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Opencode Momo in violation of its license can expose your organization to legal liability.
Opencode Momo and the EU AI Act
Opencode Momo 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 conformità assessment covers 52 jurisdictions worldwide. For organizations deploying AI tools in regulated environments, understanding these classifications is essential for legal conformità.
Best Practices for Using Opencode Momo Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Opencode Momo while minimizing risk:
Periodically review how Opencode Momo is used in your workflow. Check for unexpected behavior, permissions drift, and conformità with your sicurezza policies.
Ensure Opencode Momo and all its dependencies are running the latest stable versions to benefit from sicurezza patches.
Grant Opencode Momo only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Opencode Momo's sicurezza advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Opencode Momo is used within your organization, including data handling guidelines and acceptable use cases.
When Should You Avoid Opencode Momo?
Even promising tools aren't right for every situation. Consider avoiding Opencode Momo in these scenarios:
- Production environments handling sensitive customer data
- Regulated industries (healthcare, finance, government) without additional conformità review
- Mission-critical systems where downtime has significant business impact
For each scenario, evaluate whether Opencode Momo pari a 64.9/100 meets your organization's risk tolerance. We recommend running a manual sicurezza assessment alongside the automated Nerq score.
How Opencode Momo Compares to Industry Standards
Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among coding tools, the average Punteggio di fiducia is 62/100. Opencode Momo's score of 64.9/100 is above the category average of 62/100.
This positions Opencode Momo favorably among coding tools. While it outperforms the average, there is still room for improvement in certain trust dimensioni.
Industry benchmarks matter because they contextualize a tool's safety profile. A score that looks moderato 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.
Punteggio di fiducia History
Nerq continuously monitors Opencode Momo and recalculates its Punteggio di fiducia 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 manutenzione patterns change, Opencode Momo'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 sicurezza and quality. Conversely, a downward trend may signal reduced manutenzione, growing technical debt, or unresolved vulnerabilities. To track Opencode Momo's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=opencode-momo&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 — sicurezza, manutenzione, documentazione, conformità, and community — has evolved independently, providing granular visibility into which aspects of Opencode Momo are strengthening or weakening over time.
Opencode Momo vs Alternative
Nella categoria coding, Opencode Momo ottiene 64.9/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Opencode Momo vs AutoGPT — Punteggio di fiducia: 74.7/100
- Opencode Momo vs ollama — Punteggio di fiducia: 73.8/100
- Opencode Momo vs langchain — Punteggio di fiducia: 86.4/100
Punti chiave
- Opencode Momo has a Punteggio di fiducia of 64.9/100 (C) and is not yet Nerq Verified.
- Opencode Momo shows moderato trust signals. Conduct thorough due diligence before deploying to production environments.
- Among coding tools, Opencode Momo scores 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.
Domande frequenti
Opencode Momo è sicuro da usare?
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Disclaimer: I punteggi di fiducia Nerq sono valutazioni automatizzate basate su segnali disponibili pubblicamente. Non costituiscono raccomandazioni o garanzie. Effettua sempre la tua verifica personale.