هل Opencode Solomemory آمن؟
Opencode Solomemory — Nerq درجة الثقة 70.5/100 (الدرجة B). التقييم مبني على 5 independent trust signals.
Opencode Solomemory هو software tool بدرجة ثقة Nerq 70.5/100 (B), بناءً على 5 أبعاد بيانات مستقلة. الأمان: 0/100. الصيانة: 1/100. الشعبية: 0/100. البيانات مصدرها قراءة آلية.
هل Opencode Solomemory آمن؟
تفاصيل درجة الثقة — Opencode Solomemory لديه درجة ثقة Nerq تبلغ 70.5/100 (B). Measured across 5 independent trust signals.
ما هي درجة ثقة Opencode Solomemory؟
حصل Opencode Solomemory على درجة ثقة Nerq تبلغ 70.5/100 بدرجة B. يعتمد هذا التقييم على 5 أبعاد مُقاسة بشكل مستقل.
ما هي النتائج الأمنية الرئيسية لـ Opencode Solomemory؟
أقوى إشارة لـ Opencode Solomemory هي الامتثال بدرجة 100/100. لم يتم اكتشاف أي ثغرات أمنية معروفة.
ما هو Opencode Solomemory ومن يديره؟
| المؤلف | solomemory-ai |
| الفئة | Coding |
| المصدر | https://github.com/solomemory-ai/opencode-solomemory |
| Protocols | rest |
الامتثال التنظيمي
| EU AI Act Risk Class | MINIMAL |
| Compliance Score | 100/100 |
| الاختصاص القضائيs | Assessed across 52 ولاية قضائيةs |
بدائل شائعة في coding
What Is Opencode Solomemory?
Opencode Solomemory is a software tool in the coding category: Solo Memory for OpenCode provides persistent memory across coding sessions and projects.. Nerq درجة الثقة: 70/100 (B).
Nerq independently analyzes every software tool, app, and extension across multiple trust signals including security vulnerabilities, maintenance activity, license compliance, and اعتماد المجتمع.
How Nerq Assesses Opencode Solomemory's Safety
Nerq's درجة الثقة is calculated from 13+ independent signals aggregated into five أبعاد. Here is how Opencode Solomemory performs in each:
- الأمان (0/100): Opencode Solomemory's security posture is poor. This score factors in known CVEs, dependency vulnerabilities, security policy presence, and code signing practices.
- الصيانة (1/100): Opencode Solomemory 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 documentation, usage examples, and contribution guidelines.
- Compliance (100/100): Opencode Solomemory is broadly compliant. Assessed against regulations in 52 ولاية قضائيةs including the EU AI Act, CCPA, and GDPR.
- المجتمع (0/100): المجتمع adoption is limited. بناءً على GitHub stars, forks, download counts, and ecosystem integrations.
The overall درجة الثقة of 70.5/100 (B) 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 Opencode Solomemory?
Opencode Solomemory is commonly evaluated by:
- المطورs and teams working with coding tools
- Organizations evaluating AI tools for their stack
- Researchers exploring AI capabilities in this domain
كيفية read the signals: Opencode Solomemory's measured signals (security 0/100, maintenance 1/100, documentation 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.
كيفية Verify Opencode Solomemory's Safety Yourself
While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:
- Check the source code — Review the repository's security policy, open issues, and recent commits for signs of active maintenance.
- Scan dependencies — Use tools like
npm audit,pip-audit, orsnykto check for ثغرات أمنية معروفة in Opencode Solomemory's dependency tree. - مراجعة permissions — Understand what access Opencode Solomemory requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Opencode Solomemory 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-solomemory - مراجعة the license — Confirm that Opencode Solomemory'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 عملاء 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 security concerns openly. Low community engagement may indicate limited peer review of the codebase.
Common Safety Concerns with Opencode Solomemory
When evaluating whether Opencode Solomemory is safe, consider these category-specific risks:
Understand how Opencode Solomemory processes, stores, and transmits your data. Review the tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Opencode Solomemory's dependency tree for ثغرات أمنية معروفة. Tools with outdated or unmaintained dependencies pose a higher security risk.
Regularly check for updates to Opencode Solomemory. الأمان patches and bug fixes are only effective if you're running the latest version.
If Opencode Solomemory 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 Solomemory'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 Solomemory in violation of its license can expose your organization to legal liability.
Opencode Solomemory and the EU AI Act
Opencode Solomemory 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 compliance assessment covers 52 ولاية قضائيةs worldwide. For organizations deploying AI tools in regulated environments, understanding these classifications is essential for legal compliance.
Best Practices for Using Opencode Solomemory Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Opencode Solomemory while minimizing risk:
Periodically review how Opencode Solomemory is used in your workflow. Check for unexpected behavior, permissions drift, and compliance with your security policies.
Ensure Opencode Solomemory and all its dependencies are running the latest stable versions to benefit from security patches.
Grant Opencode Solomemory only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Opencode Solomemory's security advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Opencode Solomemory is used within your organization, including data handling guidelines and acceptable use cases.
Situations That Warrant مستقل Review of Opencode Solomemory
Nerq's signals are one input. In the following situations, evaluate Opencode Solomemory'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 Opencode Solomemory's measured trust score of 70.5/100 and its individual signals against your organization's own criteria. Nerq does not assert whether Opencode Solomemory is suitable for any particular use.
How Opencode Solomemory Compares to Industry Standards
Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among coding tools, the average درجة الثقة is 62/100. Opencode Solomemory's score of 70.5/100 is above the category average of 62/100.
This positions Opencode Solomemory favorably among coding tools. While it outperforms the average, there is still room for improvement in certain trust أبعاد.
Industry benchmarks matter because they contextualize a tool's safety profile. A score that looks متوسط 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.
درجة الثقة History
Nerq continuously monitors Opencode Solomemory and recalculates its درجة الثقة 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, Opencode Solomemory'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 security and quality. Conversely, a downward trend may signal reduced maintenance, growing technical debt, or unresolved vulnerabilities. To track Opencode Solomemory's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=opencode-solomemory&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 — security, maintenance, documentation, compliance, and community — has evolved independently, providing granular visibility into which aspects of Opencode Solomemory are strengthening or weakening over time.
Opencode Solomemory vs البدائل
In the coding category, Opencode Solomemory scores 70.5/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Opencode Solomemory vs AutoGPT — درجة الثقة: 65.3/100
- Opencode Solomemory vs ollama — درجة الثقة: 64.4/100
- Opencode Solomemory vs langchain — درجة الثقة: 81.0/100
النقاط الرئيسية
- Opencode Solomemory has a measured Nerq درجة الثقة of 70.5/100 (B) — a composite of independent signals, not a suitability judgment.
- Among coding tools, Opencode Solomemory scores above the category average of 62/100 (a positional measurement relative to peers).
- The individual signals — security, maintenance, documentation, compliance, community — are shown above. Weigh them against your own requirements.
- Query the current measured values via Nerq's Preflight API.
الأسئلة الشائعة
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