Is Knowledge Assistant Safe? — Trust Score: 65.7/100
Why This Score
- Security score: 0/100 (weak)
- Maintenance: 1/100 — low maintenance activity
- Compliance: 82/100 — covers 42 of 52 jurisdictions
- Documentation: 1/100 — limited documentation
- Popularity: 0/100 — 5 stars on github
According to Nerq's independent analysis of zebbern/knowledge-assistant, this coding has a trust score of 65.7 out of 100, earning a C grade. With 5 stars on github, it is below the recommended threshold of 70. Security score: 0/100. Compliance: 82/100 across 52 jurisdictions. EU AI Act classification: minimal. Data sourced from 13+ independent signals including GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-19. Machine-readable data (JSON).
Is Knowledge Assistant safe?
CAUTION — Knowledge Assistant has a Nerq Trust Score of 65.7/100 (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.
Trust Assessment
Moderate — zebbern/knowledge-assistant shows mixed trust signals. Some areas are strong while others could be improved. We recommend reviewing the full KYA (Know Your Agent) report before integrating it into production workflows.
Trust Signal Breakdown
Details
| Author | zebbern |
| Category | coding |
| Stars | 5 |
| Source | https://github.com/zebbern/knowledge-assistant |
| Frameworks | langchain |
| Protocols | rest |
Regulatory Compliance
| EU AI Act Risk Class | MINIMAL |
| Compliance Score | 82/100 |
| Jurisdictions | Assessed across 52 jurisdictions |
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What Is Knowledge Assistant?
Knowledge Assistant is a AI tool in the coding category. A lightweight, no-cost, chat agent that answers questions from custom knowledge files. No vector databases, no embeddings, no complex setup - drop in your md files and start chatting
As of March 2026, Knowledge Assistant is available on github, making it an emerging tool in the AI ecosystem. But popularity alone does not equal safety — which is why Nerq independently analyzes every tool across 13+ trust signals.
How Nerq Assesses Knowledge Assistant's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensions. Here is how Knowledge Assistant performs in each:
- Security (0/100): Knowledge Assistant's security posture is poor. This score factors in known CVEs, dependency vulnerabilities, security policy presence, and code signing practices.
- Maintenance (1/100): Knowledge Assistant 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 documentation, usage examples, and contribution guidelines.
- Compliance (82/100): Knowledge Assistant is broadly compliant. Assessed against regulations in 52 jurisdictions including the EU AI Act, CCPA, and GDPR.
- Community (0/100): Community adoption is limited. Based on GitHub stars, forks, download counts, and ecosystem integrations.
The overall Trust Score of 65.7/100 (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 Knowledge Assistant?
Knowledge Assistant 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: Knowledge Assistant 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 Knowledge Assistant's Safety Yourself
While Nerq provides automated trust analysis, we recommend these additional steps before adopting any AI tool:
- Check the source code — Review the repository's security policy, open issues, and recent commits for signs of active maintenance.
- Scan dependencies — Use tools like
npm audit,pip-audit, orsnykto check for known vulnerabilities in Knowledge Assistant's dependency tree. - Review permissions — Understand what access Knowledge Assistant requires. AI tools should follow the principle of least privilege.
- Test in isolation — Run Knowledge Assistant 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=zebbern/knowledge-assistant - Review the license — Confirm that Knowledge Assistant'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 security concerns openly. Low community engagement may indicate limited peer review of the codebase.
Common Safety Concerns with Knowledge Assistant
When evaluating whether Knowledge Assistant is safe, consider these category-specific risks:
Understand how Knowledge Assistant processes, stores, and transmits your data. Review the tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Knowledge Assistant's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher security risk.
Regularly check for updates to Knowledge Assistant. Security patches and bug fixes are only effective if you're running the latest version.
If Knowledge Assistant 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 Knowledge Assistant's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Knowledge Assistant in violation of its license can expose your organization to legal liability.
Knowledge Assistant and the EU AI Act
Knowledge Assistant 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 Knowledge Assistant Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Knowledge Assistant while minimizing risk:
Periodically review how Knowledge Assistant is used in your workflow. Check for unexpected behavior, permissions drift, and compliance with your security policies.
Ensure Knowledge Assistant and all its dependencies are running the latest stable versions to benefit from security patches.
Grant Knowledge Assistant only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Knowledge Assistant's security advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Knowledge Assistant is used within your organization, including data handling guidelines and acceptable use cases.
When Should You Avoid Knowledge Assistant?
Even promising tools aren't right for every situation. Consider avoiding Knowledge Assistant in these scenarios:
- Production environments handling sensitive customer data
- Regulated industries (healthcare, finance, government) without additional compliance review
- Mission-critical systems where downtime has significant business impact
For each scenario, evaluate whether Knowledge Assistant's trust score of 65.7/100 meets your organization's risk tolerance. We recommend running a manual security assessment alongside the automated Nerq score.
How Knowledge Assistant Compares to Industry Standards
Nerq indexes over 204,000 AI agents and tools across dozens of categories. Among coding tools, the average Trust Score is 62/100. Knowledge Assistant's score of 65.7/100 is above the category average of 62/100.
This positions Knowledge Assistant 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 Knowledge Assistant 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, Knowledge Assistant'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 Knowledge Assistant's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=zebbern/knowledge-assistant&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 Knowledge Assistant are strengthening or weakening over time.
Knowledge Assistant vs Alternatives
In the coding category, Knowledge Assistant scores 65.7/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Knowledge Assistant vs AutoGPT — Trust Score: 74.7/100
- Knowledge Assistant vs ollama — Trust Score: 73.8/100
- Knowledge Assistant vs langchain — Trust Score: 87.6/100
Key Takeaways
- Knowledge Assistant has a Trust Score of 65.7/100 (C) and is not yet Nerq Verified.
- Knowledge Assistant shows moderate trust signals. Conduct thorough due diligence before deploying to production environments.
- Among coding tools, Knowledge Assistant 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.
Safer Alternatives
Higher-rated coding agents you may want to consider:
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Disclaimer: Nerq trust scores are automated assessments based on publicly available signals. They are not endorsements or guarantees. Always conduct your own due diligence.