Apakah Ragcode Aman?
Ragcode — Nerq Trust Score 44.7/100 (Nilai E). Berdasarkan analisis 3 dimensi kepercayaan, dianggap memiliki masalah keamanan yang perlu diperhatikan. Terakhir diperbarui: 2026-04-06.
Berhati-hatilah dengan Ragcode. Ragcode adalah software tool dengan Skor Kepercayaan Nerq sebesar 44.7/100 (E), based on 3 dimensi data independen. Di bawah ambang batas terverifikasi Nerq Pemeliharaan: 0/100. Popularitas: 0/100. Data bersumber dari berbagai sumber publik termasuk registri paket, GitHub, NVD, OSV.dev, dan OpenSSF Scorecard. Terakhir diperbarui: 2026-04-06. Data yang dapat dibaca mesin (JSON).
Apakah Ragcode Aman?
NO — USE WITH CAUTION — Ragcode has a Nerq Trust Score of 44.7/100 (E). Memiliki sinyal kepercayaan di bawah rata-rata dengan celah signifikan in keamanan, pemeliharaan, or dokumentasi. Not recommended for production use without thorough manual review and additional keamanan measures.
Berapa skor kepercayaan Ragcode?
Ragcode memiliki Skor Kepercayaan Nerq 44.7/100 dengan nilai E. Skor ini didasarkan pada 3 dimensi yang diukur secara independen.
Apa temuan keamanan utama untuk Ragcode?
Sinyal terkuat Ragcode adalah pemeliharaan pada 0/100. Tidak ada kerentanan yang diketahui terdeteksi. Belum mencapai ambang verifikasi Nerq 70+.
Apa itu Ragcode dan siapa yang mengelolanya?
| Pembuat | https://github.com/doitmagic/rag-code-mcp |
| Kategori | Coding |
| Bintang | 24 |
| Sumber | https://github.com/doitmagic/rag-code-mcp |
Alternatif Populer di coding
What Is Ragcode?
Ragcode is a software tool in the coding category: Privacy-first semantic code search using local Ollama and Qdrant vector storage for multi-language repository understanding. It has 24 GitHub stars. Nerq Trust Score: 45/100 (E).
Nerq independently analyzes every software tool, app, and extension across multiple trust signals including keamanan vulnerabilities, pemeliharaan activity, license kepatuhan, and adopsi komunitas.
How Nerq Assesses Ragcode's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensi. Here is how Ragcode performs in each:
- Pemeliharaan (0/100): Ragcode is potentially abandoned. We track commit frequency, release cadence, issue response times, and PR merge rates.
- Documentation (0/100): Documentation quality is insufficient. This includes README completeness, API dokumentasi, usage examples, and contribution guidelines.
- Community (0/100): Community adoption is limited. Berdasarkan GitHub stars, forks, download counts, and ecosystem integrations.
The overall Trust Score of 44.7/100 (E) 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 Ragcode?
Ragcode 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: We recommend caution with Ragcode. The low trust score suggests potential risks in keamanan, pemeliharaan, or community support. Consider using a more established alternative for any production or sensitive workload.
How to Verify Ragcode's Safety Yourself
While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:
- Check the source code — Tinjau repository keamanan policy, open issues, and recent commits for signs of active pemeliharaan.
- Scan dependencies — Use tools like
npm audit,pip-audit, orsnykto check for known vulnerabilities in Ragcode's dependency tree. - Ulasan permissions — Understand what access Ragcode requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Ragcode 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=RagCode - Tinjau license — Confirm that Ragcode'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 keamanan concerns openly. Low community engagement may indicate limited peer review of the codebase.
Common Safety Concerns with Ragcode
When evaluating whether Ragcode is safe, consider these category-specific risks:
Understand how Ragcode processes, stores, and transmits your data. Tinjau tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Ragcode's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher keamanan risk.
Regularly check for updates to Ragcode. Keamanan patches and bug fixes are only effective if you're running the latest version.
If Ragcode 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 Ragcode's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Ragcode in violation of its license can expose your organization to legal liability.
Best Practices for Using Ragcode Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Ragcode while minimizing risk:
Periodically review how Ragcode is used in your workflow. Check for unexpected behavior, permissions drift, and kepatuhan with your keamanan policies.
Ensure Ragcode and all its dependencies are running the latest stable versions to benefit from keamanan patches.
Grant Ragcode only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Ragcode's keamanan advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Ragcode is used within your organization, including data handling guidelines and acceptable use cases.
When Should You Avoid Ragcode?
Even promising tools aren't right for every situation. Consider avoiding Ragcode in these scenarios:
- Production environments handling sensitive customer data
- Regulated industries (healthcare, finance, government) without additional kepatuhan review
- Mission-critical systems where downtime has significant business impact
For each scenario, evaluate whether Ragcode's trust score of 44.7/100 meets your organization's risk tolerance. We recommend running a manual keamanan assessment alongside the automated Nerq score.
How Ragcode 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. Ragcode's score of 44.7/100 is below the category average of 62/100.
This suggests that Ragcode trails behind many comparable coding tools. Organizations with strict keamanan requirements should evaluate whether higher-scoring alternatives better meet their needs.
Industry benchmarks matter because they contextualize a tool's safety profile. A score that looks sedang 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 Ragcode 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 pemeliharaan patterns change, Ragcode'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 keamanan and quality. Conversely, a downward trend may signal reduced pemeliharaan, growing technical debt, or unresolved vulnerabilities. To track Ragcode's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=RagCode&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 — keamanan, pemeliharaan, dokumentasi, kepatuhan, and community — has evolved independently, providing granular visibility into which aspects of Ragcode are strengthening or weakening over time.
Ragcode vs Alternatif
In the coding category, Ragcode scores 44.7/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Ragcode vs AutoGPT — Trust Score: 74.7/100
- Ragcode vs ollama — Trust Score: 73.8/100
- Ragcode vs langchain — Trust Score: 86.4/100
Kesimpulan Utama
- Ragcode has a Trust Score of 44.7/100 (E) and is not yet Nerq Verified.
- Ragcode has significant trust gaps. Consider higher-rated alternatives unless specific requirements mandate its use.
- Among coding tools, Ragcode scores below 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.
Pertanyaan yang Sering Diajukan
Apakah Ragcode Aman?
Berapa skor kepercayaan Ragcode?
Apa alternatif yang lebih aman dari Ragcode?
Seberapa sering skor keamanan Ragcode diperbarui?
Bisakah saya menggunakan Ragcode di lingkungan yang diatur?
Lihat juga
Disclaimer: Skor kepercayaan Nerq adalah penilaian otomatis berdasarkan sinyal yang tersedia secara publik. Ini bukan rekomendasi atau jaminan. Selalu lakukan verifikasi mandiri Anda sendiri.