Is Hippodid Safe?

Hippodid — Nerq Trust Score 38.9/100 (E grade). Based on analysis of 5 trust dimensions, it is has significant safety risks. Last updated: 2026-04-23.

Exercise caution with Hippodid. Hippodid is a software tool with a Nerq Trust Score of 38.9/100 (E). Below the recommended threshold of 70. Data sourced from multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-04-23. Machine-readable data (JSON).

Is Hippodid safe?

NO — USE WITH CAUTION — Hippodid has a Nerq Trust Score of 38.9/100 (E). It has below-average trust signals with significant gaps in security, maintenance, or documentation. Not recommended for production use without thorough manual review and additional security measures.

Security Analysis → Hippodid Privacy Report →

What is Hippodid's trust score?

Hippodid has a Nerq Trust Score of 38.9/100, earning a E grade. This score is based on 5 independently measured dimensions including security, maintenance, and community adoption.

Overall Trust
38.9

What are the key security findings for Hippodid?

Hippodid's strongest signal is overall trust at 38.9/100. No known vulnerabilities have been detected. It has not yet reached the Nerq Verified threshold of 70+.

Composite trust score: 38.9/100 across all available signals

What is Hippodid and who maintains it?

Authorhttps://github.com/samethoughts/hippodid-mcp-server
CategoryUncategorized
Sourcehttps://github.com/samethoughts/hippodid-mcp-server

What Is Hippodid?

Hippodid is a software tool in the uncategorized category: Persistent cloud memory for AI agents with semantic search, file sync, document import, and BYOK AI configuration.. Nerq Trust Score: 39/100 (E).

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 Hippodid's Safety

Nerq evaluates every software tool across 13+ independent trust signals drawn from public sources including GitHub, NVD, OSV.dev, OpenSSF Scorecard, and package registries. These signals are grouped into five core dimensions: Security (known CVEs, dependency vulnerabilities, security policies), Maintenance (commit frequency, release cadence, issue response times), Documentation (README quality, API docs, examples), Compliance (license, regulatory alignment across 52 jurisdictions), and Community (stars, forks, downloads, ecosystem integrations).

Hippodid receives an overall Trust Score of 38.9/100 (E), which Nerq considers low. This is below the Nerq Verified threshold of 70. We recommend additional due diligence before production deployment.

Nerq updates trust scores continuously as new data becomes available. To get the latest assessment, query the API: GET nerq.ai/v1/preflight?target=HippoDid

Each dimension is weighted according to its importance for the tool's category. For example, Security and Maintenance carry higher weight for tools that handle sensitive data or execute code, while Community and Documentation are weighted more heavily for developer-facing libraries and frameworks. This ensures that Hippodid's score reflects the risks most relevant to its actual usage patterns. The final score is a weighted average across all five dimensions, normalized to a 0-100 scale with letter grades from A (highest) to F (lowest).

Who Should Use Hippodid?

Hippodid is designed for:

Risk guidance: We recommend caution with Hippodid. The low trust score suggests potential risks in security, maintenance, or community support. Consider using a more established alternative for any production or sensitive workload.

How to Verify Hippodid'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 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 Hippodid's dependency tree.
  3. Review permissions — Understand what access Hippodid requires. Software tools should follow the principle of least privilege.
  4. Test in isolation — Run Hippodid 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=HippoDid
  6. Review the license — Confirm that Hippodid'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 Hippodid

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

Data handling

Understand how Hippodid 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 Hippodid's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher security risk.

Update frequency

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

Third-party integrations

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

Best Practices for Using Hippodid Safely

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

Conduct regular audits

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

Keep dependencies updated

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

Follow least privilege

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

Monitor for security advisories

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

When Should You Avoid Hippodid?

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

For each scenario, evaluate whether Hippodid's trust score of 38.9/100 meets your organization's risk tolerance. We recommend running a manual security assessment alongside the automated Nerq score.

How Hippodid Compares to Industry Standards

Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among uncategorized tools, the average Trust Score is 62/100. Hippodid's score of 38.9/100 is below the category average of 62/100.

This suggests that Hippodid trails behind many comparable uncategorized tools. Organizations with strict security 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 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 Hippodid 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, Hippodid'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 Hippodid's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=HippoDid&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 Hippodid are strengthening or weakening over time.

Key Takeaways

What data does Hippodid collect?

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

Is Hippodid secure?

Security score: under assessment. 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: Hippodid Security Report

How we calculated this score

Hippodid's trust score of 38.9/100 (E) is computed from multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. The score reflects 0 independent dimensions: . 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 23, 2026. Data version: 1.0.

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

Frequently Asked Questions

Is Hippodid Safe?
Exercise caution. HippoDid with a Nerq Trust Score of 38.9/100 (E). Strongest signal: overall trust (38.9/100). Score based on multiple trust dimensions.
What is Hippodid's trust score?
HippoDid: 38.9/100 (E). Score based on multiple trust dimensions. Scores update as new data becomes available. API: GET nerq.ai/v1/preflight?target=HippoDid
What are safer alternatives to Hippodid?
In the Uncategorized category, more software tools are being analyzed — check back soon. HippoDid scores 38.9/100.
How often is Hippodid's safety score updated?
Nerq continuously monitors Hippodid and updates its trust score as new data becomes available. Current: 38.9/100 (E), last verified 2026-04-23. API: GET nerq.ai/v1/preflight?target=HippoDid
Can I use Hippodid in a regulated environment?
Hippodid 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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