Apakah Ai Agent Prototype Aman?
Ai Agent Prototype — Nerq Trust Score 64.6/100 (Nilai C). Berdasarkan analisis 5 dimensi kepercayaan, dianggap umumnya aman tetapi memiliki beberapa kekhawatiran. Terakhir diperbarui: 2026-04-02.
Gunakan Ai Agent Prototype dengan hati-hati. Ai Agent Prototype is a software tool dengan Skor Kepercayaan Nerq sebesar 64.6/100 (C), based on 5 dimensi data independen. Di bawah ambang batas yang direkomendasikan yaitu 70. Keamanan: 0/100. Pemeliharaan: 1/100. Popularity: 0/100. Data bersumber dari multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Terakhir diperbarui: 2026-04-02. Data yang dapat dibaca mesin (JSON).
Apakah Ai Agent Prototype Aman?
HATI-HATI — Ai Agent Prototype memiliki Skor Kepercayaan Nerq sebesar 64.6/100 (C). Memiliki sinyal kepercayaan sedang tetapi menunjukkan beberapa area yang perlu diperhatikan. Cocok untuk penggunaan pengembangan — tinjau sinyal keamanan dan pemeliharaan sebelum penerapan produksi.
Berapa skor kepercayaan Ai Agent Prototype?
Ai Agent Prototype memiliki Skor Kepercayaan Nerq 64.6/100 dengan nilai C. Skor ini didasarkan pada 5 dimensi yang diukur secara independen.
Apa temuan keamanan utama untuk Ai Agent Prototype?
Sinyal terkuat Ai Agent Prototype adalah kepatuhan pada 100/100. Tidak ada kerentanan yang diketahui terdeteksi. Belum mencapai ambang verifikasi Nerq 70+.
Apa itu Ai Agent Prototype dan siapa yang mengelolanya?
| Pembuat | Choisungbum |
| Kategori | coding |
| Sumber | https://github.com/Choisungbum/ai-agent-prototype |
| Frameworks | langchain · mcp · ollama |
| Protocols | mcp · rest |
Kepatuhan Regulasi
| EU AI Act Risk Class | MINIMAL |
| Compliance Score | 100/100 |
| Jurisdictions | Assessed across 52 jurisdictions |
Alternatif Populer di coding
What Is Ai Agent Prototype?
Ai Agent Prototype is a software tool in the coding category: An LLM-based AI agent prototype with a Spring Boot + FastAPI architecture, focusing on tool invocation and multi-turn conversation handling.. Nerq Trust Score: 65/100 (C).
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 Ai Agent Prototype's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensi. Here is how Ai Agent Prototype performs in each:
- Keamanan (0/100): Ai Agent Prototype's keamanan posture is poor. This score factors in known CVEs, dependency vulnerabilities, keamanan policy presence, and code signing practices.
- Pemeliharaan (1/100): Ai Agent Prototype 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 dokumentasi, usage examples, and contribution guidelines.
- Compliance (100/100): Ai Agent Prototype is broadly compliant. Assessed against regulations in 52 jurisdictions including the EU AI Act, CCPA, and GDPR.
- Community (0/100): Community adoption is limited. Berdasarkan GitHub stars, forks, download counts, and ecosystem integrations.
The overall Trust Score of 64.6/100 (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 Ai Agent Prototype?
Ai Agent Prototype 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: Ai Agent Prototype is suitable for development and testing environments. Before production deployment, conduct a thorough review of its keamanan posture, review the specific trust signals above, and consider whether a higher-scored alternative meets your requirements.
How to Verify Ai Agent Prototype'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's 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 Ai Agent Prototype's dependency tree. - Ulasan permissions — Understand what access Ai Agent Prototype requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Ai Agent Prototype 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=ai-agent-prototype - Tinjau license — Confirm that Ai Agent Prototype'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 Ai Agent Prototype
When evaluating whether Ai Agent Prototype is safe, consider these category-specific risks:
Understand how Ai Agent Prototype processes, stores, and transmits your data. Tinjau tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Ai Agent Prototype's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher keamanan risk.
Regularly check for updates to Ai Agent Prototype. Keamanan patches and bug fixes are only effective if you're running the latest version.
If Ai Agent Prototype 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 Ai Agent Prototype's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Ai Agent Prototype in violation of its license can expose your organization to legal liability.
Ai Agent Prototype and the EU AI Act
Ai Agent Prototype 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 kepatuhan assessment covers 52 jurisdictions worldwide. For organizations deploying AI tools in regulated environments, understanding these classifications is essential for legal kepatuhan.
Best Practices for Using Ai Agent Prototype Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Ai Agent Prototype while minimizing risk:
Periodically review how Ai Agent Prototype is used in your workflow. Check for unexpected behavior, permissions drift, and kepatuhan with your keamanan policies.
Ensure Ai Agent Prototype and all its dependencies are running the latest stable versions to benefit from keamanan patches.
Grant Ai Agent Prototype only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Ai Agent Prototype's keamanan advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Ai Agent Prototype is used within your organization, including data handling guidelines and acceptable use cases.
When Should You Avoid Ai Agent Prototype?
Even promising tools aren't right for every situation. Consider avoiding Ai Agent Prototype 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 Ai Agent Prototype sebesar 64.6/100 meets your organization's risk tolerance. We recommend running a manual keamanan assessment alongside the automated Nerq score.
How Ai Agent Prototype 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. Ai Agent Prototype's score of 64.6/100 is above the category average of 62/100.
This positions Ai Agent Prototype favorably among coding tools. While it outperforms the average, there is still room for improvement in certain trust dimensi.
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 Ai Agent Prototype 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, Ai Agent Prototype'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 Ai Agent Prototype's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=ai-agent-prototype&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 Ai Agent Prototype are strengthening or weakening over time.
Ai Agent Prototype vs Alternatif
Dalam kategori coding, Ai Agent Prototype mendapat skor 64.6/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Ai Agent Prototype vs AutoGPT — Trust Score: 74.7/100
- Ai Agent Prototype vs ollama — Trust Score: 73.8/100
- Ai Agent Prototype vs langchain — Trust Score: 86.4/100
Kesimpulan Utama
- Ai Agent Prototype memiliki Skor Kepercayaan sebesar 64.6/100 (C) and is not yet Nerq Verified.
- Ai Agent Prototype shows sedang trust signals. Conduct thorough due diligence before deploying to production environments.
- Among coding tools, Ai Agent Prototype 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.
Pertanyaan yang Sering Diajukan
Apakah Ai Agent Prototype aman digunakan?
Berapa skor kepercayaan Ai Agent Prototype?
Apa alternatif yang lebih aman dari Ai Agent Prototype?
How often is Ai Agent Prototype's safety score updated?
Bisakah saya menggunakan Ai Agent Prototype di lingkungan teregulasi?
Disclaimer: Skor kepercayaan Nerq adalah penilaian otomatis berdasarkan sinyal yang tersedia secara publik. Ini bukan rekomendasi atau jaminan. Selalu lakukan verifikasi mandiri Anda sendiri.