Är Rag Memory säker?
Rag Memory — Nerq Förtroendepoäng 53.8/100 (Betyg D). Baserat på analys av 1 tillitsdimensioner bedöms det som har anmärkningsvärda säkerhetsproblem. Senast uppdaterad: 2026-04-04.
Använd Rag Memory med försiktighet. Rag Memory är en software tool med ett Nerq-förtroendepoäng på 53.8/100 (D), baserat på 3 oberoende datadimensioner. Ligger under den rekommenderade gränsen på 70. Data hämtad från multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Senast uppdaterad: 2026-04-04. Maskinläsbar data (JSON).
Är Rag Memory säker?
VAR FÖRSIKTIG — Rag Memory har ett Nerq-förtroendepoäng på 53.8/100 (D). Har måttliga förtroendesignaler men uppvisar vissa oroande områden. Lämplig för utvecklingsanvändning — granska säkerhets- och underhållssignaler innan produktionsdriftsättning.
Vad är Rag Memorys förtroendepoäng?
Rag Memory har ett Nerq-förtroendepoäng på 53.8/100 med betyget D. Denna poäng baseras på 1 oberoende mätta dimensioner inklusive säkerhet, underhåll och communityanvändning.
Vilka är de viktigaste säkerhetsresultaten för Rag Memory?
Rag Memorys starkaste signal är regelefterlevnad på 100/100. Inga kända sårbarheter har upptäckts. Har ännu inte nått Nerqs verifieringströskel på 70+.
Vad är Rag Memory och vem underhåller det?
| Utvecklare | Tim Kitchens |
| Kategori | uncategorized |
| Källa | https://pypi.org/project/rag-memory/ |
Regelefterlevnad
| EU AI Act Risk Class | Not assessed |
| Compliance Score | 100/100 |
| Jurisdiktions | Assessed across 52 jurisdiktions |
What Is Rag Memory?
Rag Memory is a software tool in the uncategorized category: PostgreSQL pgvector-based RAG memory system with MCP server. Nerq Förtroendepoäng: 54/100 (D).
Nerq independently analyzes every software tool, app, and extension across multiple trust signals including säkerhet vulnerabilities, underhåll activity, license regelefterlevnad, and communityanvändning.
How Nerq Assesses Rag Memory's Safety
Nerq's Förtroendepoäng is calculated from 13+ independent signals aggregated into five dimensioner. Here is how Rag Memory performs in each:
- Compliance (100/100): Rag Memory is broadly compliant. Assessed against regulations in 52 jurisdiktions including the EU AI Act, CCPA, and GDPR.
The overall Förtroendepoäng of 53.8/100 (D) 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 Rag Memory?
Rag Memory is designed for:
- Developers and teams working with uncategorized tools
- Organizations evaluating AI tools for their stack
- Researchers exploring AI capabilities in this domain
Risk guidance: Rag Memory is suitable for development and testing environments. Before production deployment, conduct a thorough review of its säkerhet posture, review the specific trust signals above, and consider whether a higher-scored alternative meets your requirements.
How to Verify Rag Memory's Safety Yourself
While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:
- Check the source code — Granska repository säkerhet policy, open issues, and recent commits for signs of active underhåll.
- Scan dependencies — Use tools like
npm audit,pip-audit, orsnykto check for kända sårbarheter in Rag Memory's dependency tree. - Recension permissions — Understand what access Rag Memory requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Rag Memory 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=rag-memory - Granska license — Confirm that Rag Memory'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 säkerhet concerns openly. Low community engagement may indicate limited peer review of the codebase.
Common Safety Concerns with Rag Memory
When evaluating whether Rag Memory is safe, consider these category-specific risks:
Understand how Rag Memory processes, stores, and transmits your data. Granska tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Rag Memory's dependency tree for kända sårbarheter. Tools with outdated or unmaintained dependencies pose a higher säkerhet risk.
Regularly check for updates to Rag Memory. Säkerhet patches and bug fixes are only effective if you're running the latest version.
If Rag Memory 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 Rag Memory's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Rag Memory in violation of its license can expose your organization to legal liability.
Best Practices for Using Rag Memory Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Rag Memory while minimizing risk:
Periodically review how Rag Memory is used in your workflow. Check for unexpected behavior, permissions drift, and regelefterlevnad with your säkerhet policies.
Ensure Rag Memory and all its dependencies are running the latest stable versions to benefit from säkerhet patches.
Grant Rag Memory only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Rag Memory's säkerhet advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Rag Memory is used within your organization, including data handling guidelines and acceptable use cases.
When Should You Avoid Rag Memory?
Even promising tools aren't right for every situation. Consider avoiding Rag Memory in these scenarios:
- Production environments handling sensitive customer data
- Regulated industries (healthcare, finance, government) without additional regelefterlevnad review
- Mission-critical systems where downtime has significant business impact
For each scenario, evaluate whether Rag Memory är 53.8/100 meets your organization's risk tolerance. We recommend running a manual säkerhet assessment alongside the automated Nerq score.
How Rag Memory Compares to Industry Standards
Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among uncategorized tools, the average Förtroendepoäng is 62/100. Rag Memory's score of 53.8/100 is near the category average of 62/100.
This places Rag Memory in line with the typical uncategorized tool tool. It meets baseline expectations but does not distinguish itself from peers on trust metrics.
Industry benchmarks matter because they contextualize a tool's safety profile. A score that looks måttlig 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.
Förtroendepoäng History
Nerq continuously monitors Rag Memory and recalculates its Förtroendepoäng 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 underhåll patterns change, Rag Memory'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 säkerhet and quality. Conversely, a downward trend may signal reduced underhåll, growing technical debt, or unresolved vulnerabilities. To track Rag Memory's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=rag-memory&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 — säkerhet, underhåll, dokumentation, regelefterlevnad, and community — has evolved independently, providing granular visibility into which aspects of Rag Memory are strengthening or weakening over time.
Viktigaste slutsatser
- Rag Memory has a Förtroendepoäng of 53.8/100 (D) and is not yet Nerq Verified.
- Rag Memory shows måttlig trust signals. Conduct thorough due diligence before deploying to production environments.
- Among uncategorized tools, Rag Memory scores near the category average of 62/100, suggesting room for improvement relative to peers.
- Always verify safety independently — use Nerq's Preflight API for automated, up-to-date trust checks before integration.
Vanliga frågor
Är Rag Memory säker att använda?
Vad är Rag Memory's trust score?
Vilka säkrare alternativ finns till Rag Memory?
How often is Rag Memory's safety score updated?
Kan jag använda Rag Memory i en reglerad miljö?
Disclaimer: Nerqs förtroendepoäng är automatiserade bedömningar baserade på offentligt tillgängliga signaler. De utgör inte rekommendationer eller garantier. Gör alltid din egen verifiering.