Is Agenticai Proj Safe?

Agenticai Proj — Nerq Trust Score 62.2/100 (C grade). Based on analysis of 5 trust dimensions, it is generally safe but has some concerns. Last updated: 2026-04-24.

Use Agenticai Proj with some caution. Agenticai Proj is a software tool with a Nerq Trust Score of 62.2/100 (C), based on 5 independent data dimensions. Below the recommended threshold of 70. Security: 0/100. Maintenance: 1/100. Popularity: 0/100. Data sourced from multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-04-24. Machine-readable data (JSON).

Is Agenticai Proj safe?

CAUTION — Agenticai Proj has a Nerq Trust Score of 62.2/100 (C). It has moderate trust signals but shows some areas of concern that warrant attention. Suitable for development use — review security and maintenance signals before production deployment.

Security Analysis → Agenticai Proj Privacy Report →

What is Agenticai Proj's trust score?

Agenticai Proj has a Nerq Trust Score of 62.2/100, earning a C grade. This score is based on 5 independently measured dimensions including security, maintenance, and community adoption.

Security
0
Compliance
100
Maintenance
1
Documentation
0
Popularity
0

What are the key security findings for Agenticai Proj?

Agenticai Proj's strongest signal is compliance at 100/100. No known vulnerabilities have been detected. It has not yet reached the Nerq Verified threshold of 70+.

Security score: 0/100 (weak)
Maintenance: 1/100 — low maintenance activity
Compliance: 100/100 — covers 52 of 52 jurisdictions
Documentation: 0/100 — limited documentation
Popularity: 0/100 — community adoption

What is Agenticai Proj and who maintains it?

Authorsivaprasadkonduru
CategoryCoding
Sourcehttps://github.com/sivaprasadkonduru/agenticai_proj

Regulatory Compliance

EU AI Act Risk ClassMINIMAL
Compliance Score100/100
JurisdictionsAssessed across 52 jurisdictions

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What Is Agenticai Proj?

Agenticai Proj is a software tool in the coding category: An AI project using Langchain, LangGraph, and Open AI.. Nerq Trust Score: 62/100 (C).

Nerq independently analyzes every software tool, app, and extension across multiple trust signals including security vulnerabilities, maintenance activity, license compliance, and community adoption.

How Nerq Assesses Agenticai Proj's Safety

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

The overall Trust Score of 62.2/100 (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 Agenticai Proj?

Agenticai Proj is designed for:

Risk guidance: Agenticai Proj is suitable for development and testing environments. Before production deployment, conduct a thorough review of its security posture, review the specific trust signals above, and consider whether a higher-scored alternative meets your requirements.

How to Verify Agenticai Proj's Safety Yourself

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

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

Common Safety Concerns with Agenticai Proj

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

Data handling

Understand how Agenticai Proj processes, stores, and transmits your data. Review the tool's privacy policy and data retention practices, especially for sensitive or proprietary information.

Dependency security

Check Agenticai Proj's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher security risk.

Update frequency

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

Third-party integrations

If Agenticai Proj 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 compliance

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

Agenticai Proj and the EU AI Act

Agenticai Proj 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 jurisdictions worldwide. For organizations deploying AI tools in regulated environments, understanding these classifications is essential for legal compliance.

Best Practices for Using Agenticai Proj Safely

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

Conduct regular audits

Periodically review how Agenticai Proj is used in your workflow. Check for unexpected behavior, permissions drift, and compliance with your security policies.

Keep dependencies updated

Ensure Agenticai Proj and all its dependencies are running the latest stable versions to benefit from security patches.

Follow least privilege

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

Monitor for security advisories

Subscribe to Agenticai Proj's security 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 Agenticai Proj is used within your organization, including data handling guidelines and acceptable use cases.

When Should You Avoid Agenticai Proj?

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

For each scenario, evaluate whether Agenticai Proj's trust score of 62.2/100 meets your organization's risk tolerance. We recommend running a manual security assessment alongside the automated Nerq score.

How Agenticai Proj 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. Agenticai Proj's score of 62.2/100 is above the category average of 62/100.

This positions Agenticai Proj favorably among coding tools. While it outperforms the average, there is still room for improvement in certain trust dimensions.

Industry benchmarks matter because they contextualize a tool's safety profile. A score that looks moderate 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 Agenticai Proj 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 maintenance patterns change, Agenticai Proj'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 Agenticai Proj's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=agenticai_proj&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 Agenticai Proj are strengthening or weakening over time.

Agenticai Proj vs Alternatives

In the coding category, Agenticai Proj scores 62.2/100. There are higher-scoring alternatives available. For a detailed comparison, see:

Key Takeaways

Detailed Score Analysis

DimensionScore
Security0/100
Maintenance1/100
Popularity0/100

Based on 3 dimensions. Data from multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard.

What data does Agenticai Proj collect?

Privacy assessment for Agenticai Proj is not yet available. See our methodology for how Nerq measures privacy, or the public privacy review for any community-contributed notes.

Is Agenticai Proj secure?

Security score: 0/100. Review security practices and consider alternatives with higher security scores for sensitive use cases.

Nerq monitors this entity against NVD, OSV.dev, and registry-specific vulnerability databases for ongoing security assessment.

Full analysis: Agenticai Proj Security Report

How we calculated this score

Agenticai Proj's trust score of 62.2/100 (C) is computed from multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. The score reflects 3 independent dimensions: security (0/100), maintenance (1/100), popularity (0/100). Each dimension is weighted equally to produce the composite trust score.

Nerq analyzes over 7.5 million entities across 26 registries using the same methodology, enabling direct cross-entity comparison. Scores are updated continuously as new data becomes available.

This page was last reviewed on April 24, 2026. Data version: 1.0.

Full methodology documentation · Machine-readable data (JSON API)

Frequently Asked Questions

Is Agenticai Proj Safe?
Use with some caution. agenticai_proj with a Nerq Trust Score of 62.2/100 (C). Strongest signal: compliance (100/100). Score based on Security (0/100), Maintenance (1/100), Popularity (0/100), Documentation (0/100).
What is Agenticai Proj's trust score?
agenticai_proj: 62.2/100 (C). Score based on Security (0/100), Maintenance (1/100), Popularity (0/100), Documentation (0/100). Compliance: 100/100. Scores update as new data becomes available. API: GET nerq.ai/v1/preflight?target=agenticai_proj
What are safer alternatives to Agenticai Proj?
In the Coding category, higher-rated alternatives include Significant-Gravitas/AutoGPT (75/100), ollama/ollama (74/100), langchain-ai/langchain (71/100). agenticai_proj scores 62.2/100.
How often is Agenticai Proj's safety score updated?
Nerq continuously monitors Agenticai Proj and updates its trust score as new data becomes available. Current: 62.2/100 (C), last verified 2026-04-24. API: GET nerq.ai/v1/preflight?target=agenticai_proj
Can I use Agenticai Proj in a regulated environment?
Agenticai Proj has not reached the Nerq Verified threshold of 70. Additional due diligence is recommended.
API: /v1/preflight Trust Badge API Docs

See Also

Disclaimer: Nerq trust scores are automated assessments based on publicly available signals. They are not endorsements or guarantees. Always conduct your own due diligence.

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