Apakah Daimon Aman?

Daimon — Nerq Trust Score 63.5/100 (Nilai C). Berdasarkan analisis 5 dimensi kepercayaan, dianggap umumnya aman tetapi memiliki beberapa kekhawatiran. Terakhir diperbarui: 2026-04-06.

Gunakan Daimon dengan hati-hati. Daimon adalah software tool dengan Skor Kepercayaan Nerq sebesar 63.5/100 (C), based on 5 dimensi data independen. Di bawah ambang batas terverifikasi Nerq Keamanan: 0/100. Pemeliharaan: 1/100. 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 Daimon Aman?

CAUTION — Daimon has a Nerq Trust Score of 63.5/100 (C). Memiliki sinyal kepercayaan sedang tetapi menunjukkan beberapa area perhatian that warrant attention. Suitable for development use — review keamanan and pemeliharaan signals before production deployment.

Analisis Keamanan → Laporan Privasi Daimon →

Berapa skor kepercayaan Daimon?

Daimon memiliki Skor Kepercayaan Nerq 63.5/100 dengan nilai C. Skor ini didasarkan pada 5 dimensi yang diukur secara independen.

Keamanan
0
Kepatuhan
97
Pemeliharaan
1
Dokumentasi
1
Popularitas
0

Apa temuan keamanan utama untuk Daimon?

Sinyal terkuat Daimon adalah kepatuhan pada 97/100. Tidak ada kerentanan yang diketahui terdeteksi. Belum mencapai ambang verifikasi Nerq 70+.

Skor keamanan: 0/100 (lemah)
Pemeliharaan: 1/100 — aktivitas pemeliharaan rendah
Kepatuhan: 97/100 — covers 50 of 52 jurisdictions
Dokumentasi: 1/100 — dokumentasi terbatas
Popularitas: 0/100 — adopsi komunitas

Apa itu Daimon dan siapa yang mengelolanya?

Pembuatspanklitch
KategoriCoding
Sumberhttps://github.com/spanklitch/daimon
Protocolsrest

Kepatuhan Regulasi

EU AI Act Risk ClassMINIMAL
Compliance Score97/100
JurisdictionsAssessed across 52 jurisdictions

Alternatif Populer di coding

Significant-Gravitas/AutoGPT
74.7/100 · B
github
ollama/ollama
73.8/100 · B
github
langchain-ai/langchain
86.4/100 · A
github
x1xhlol/system-prompts-and-models-of-ai-tools
73.8/100 · B
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anomalyco/opencode
87.9/100 · A
github

What Is Daimon?

Daimon is a software tool in the coding category: Daimon is an open-source framework for developing personal AI agents with a conscience.. Nerq Trust Score: 64/100 (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 Daimon's Safety

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

The overall Trust Score of 63.5/100 (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 Daimon?

Daimon is designed for:

Risk guidance: Daimon 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 Daimon's Safety Yourself

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

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

Common Safety Concerns with Daimon

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

Data handling

Understand how Daimon processes, stores, and transmits your data. Tinjau tool's privacy policy and data retention practices, especially for sensitive or proprietary information.

Dependency keamanan

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

Update frequency

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

Third-party integrations

If Daimon 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 kepatuhan

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

Daimon and the EU AI Act

Daimon 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 Daimon Safely

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

Conduct regular audits

Periodically review how Daimon is used in your workflow. Check for unexpected behavior, permissions drift, and kepatuhan with your keamanan policies.

Keep dependencies updated

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

Follow least privilege

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

Monitor for keamanan advisories

Subscribe to Daimon's keamanan 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 Daimon is used within your organization, including data handling guidelines and acceptable use cases.

When Should You Avoid Daimon?

Even promising tools aren't right for every situation. Consider avoiding Daimon in these scenarios:

For each scenario, evaluate whether Daimon's trust score of 63.5/100 meets your organization's risk tolerance. We recommend running a manual keamanan assessment alongside the automated Nerq score.

How Daimon 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. Daimon's score of 63.5/100 is above the category average of 62/100.

This positions Daimon 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 Daimon 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, Daimon'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 Daimon's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=daimon&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 Daimon are strengthening or weakening over time.

Daimon vs Alternatif

In the coding category, Daimon scores 63.5/100. There are higher-scoring alternatives available. For a detailed comparison, see:

Kesimpulan Utama

Pertanyaan yang Sering Diajukan

Apakah Daimon Aman?
Gunakan dengan hati-hati. daimon dengan Skor Kepercayaan Nerq sebesar 63.5/100 (C). Sinyal terkuat: kepatuhan (97/100). Skor berdasarkan Keamanan (0/100), Pemeliharaan (1/100), Popularitas (0/100), Dokumentasi (1/100).
Berapa skor kepercayaan Daimon?
daimon: 63.5/100 (C). Skor berdasarkan Keamanan (0/100), Pemeliharaan (1/100), Popularitas (0/100), Dokumentasi (1/100). Compliance: 97/100. Skor diperbarui saat data baru tersedia. API: GET nerq.ai/v1/preflight?target=daimon
What are safer alternatives to Daimon?
Dalam kategori Coding, higher-rated alternatives include Significant-Gravitas/AutoGPT (75/100), ollama/ollama (74/100), langchain-ai/langchain (86/100). daimon scores 63.5/100.
How often is Daimon's safety score updated?
Nerq continuously monitors Daimon and updates its trust score as new data becomes available. Data bersumber dari berbagai sumber publik termasuk registri paket, GitHub, NVD, OSV.dev, dan OpenSSF Scorecard. Current: 63.5/100 (C), last terverifikasi 2026-04-06. API: GET nerq.ai/v1/preflight?target=daimon
Can I use Daimon in a regulated environment?
Daimon has not reached the Nerq Verified threshold of 70. Additional due diligence is recommended for regulated environments.
API: /v1/preflight Trust Badge API Docs

Lihat juga

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