Er Autoragent trygt?
Autoragent — Nerq Trust Score 64.5/100 (Karakter C). Basert på analyse av 5 tillidsdimensjoner vurderes det som generelt trygt men med visse bekymringer. Sist oppdatert: 2026-04-08.
Bruk Autoragent med forsiktighet. Autoragent er en software tool har en Nerq-tillitspoeng på 64.5/100 (C), based on 5 uavhengige datadimensjoner. Under Nerqs verifiserte terskel Sikkerhet: 0/100. Vedlikehold: 1/100. Popularitet: 0/100. Data hentet fra flere offentlige kilder inkludert pakkeregistre, GitHub, NVD, OSV.dev og OpenSSF Scorecard. Sist oppdatert: 2026-04-08. Maskinlesbare data (JSON).
Er Autoragent trygt?
CAUTION — Autoragent har en Nerq-tillitspoeng på 64.5/100 (C). Har moderat tillitssignaler, men viser noen bekymringsområder that warrant attention. Suitable for development use — review sikkerhet and vedlikehold signals before production deployment.
Hva er tillitspoengene til Autoragent?
Autoragent har en Nerq-tillitspoeng på 64.5/100 med karakteren C. Denne poengsummen er basert på 5 uavhengig målte dimensjoner, inkludert sikkerhet, vedlikehold og samfunnsadopsjon.
Hva er de viktigste sikkerhetsfunnene for Autoragent?
Autoragents sterkeste signal er samsvar på 100/100. Ingen kjente sårbarheter er funnet. It has not yet reached the Nerq Verified threshold of 70+.
Hva er Autoragent og hvem vedlikeholder det?
| Utvikler | raulmanish73 |
| Kategori | Research |
| Kilde | https://github.com/raulmanish73/AutoRAGent |
| Frameworks | langchain · openai · huggingface |
| Protocols | rest |
Regulatorisk samsvar
| EU AI Act Risk Class | MINIMAL |
| Compliance Score | 100/100 |
| Jurisdictions | Assessed across 52 jurisdictions |
Populære alternativer i research
What Is Autoragent?
Autoragent is a software tool in the research category: AutoRAGent is a Streamlit-based RAG application that retrieves information from documents and Wikipedia, then uses an LLM to generate answers.. Nerq Trust Score: 64/100 (C).
Nerq independently analyzes every software tool, app, and extension across multiple trust signals including sikkerhet vulnerabilities, vedlikehold activity, license samsvar, and fellesskapsadopsjon.
How Nerq Assesses Autoragent's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensjoner. Here is how Autoragent performs in each:
- Sikkerhet (0/100): Autoragent's sikkerhet posture is poor. This score factors in known CVEs, dependency vulnerabilities, sikkerhet policy presence, and code signing practices.
- Vedlikehold (1/100): Autoragent 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 dokumentasjon, usage examples, and contribution guidelines.
- Compliance (100/100): Autoragent is broadly compliant. Assessed against regulations in 52 jurisdictions including the EU AI Act, CCPA, and GDPR.
- Community (0/100): Community adoption is limited. Basert på GitHub stars, forks, download counts, and ecosystem integrations.
The overall Trust Score of 64.5/100 (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 Autoragent?
Autoragent is designed for:
- Developers and teams working with research tools
- Organizations evaluating AI tools for their stack
- Researchers exploring AI capabilities in this domain
Risk guidance: Autoragent is suitable for development and testing environments. Before production deployment, conduct a thorough review of its sikkerhet posture, review the specific trust signals above, and consider whether a higher-scored alternative meets your requirements.
How to Verify Autoragent's Safety Yourself
While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:
- Check the source code — Gjennomgå repository's sikkerhet policy, open issues, and recent commits for signs of active vedlikehold.
- Scan dependencies — Use tools like
npm audit,pip-audit, orsnykto check for kjente sårbarheter in Autoragent's dependency tree. - Anmeldelse permissions — Understand what access Autoragent requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Autoragent 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=AutoRAGent - Gjennomgå license — Confirm that Autoragent'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 sikkerhet concerns openly. Low community engagement may indicate limited peer review of the codebase.
Common Safety Concerns with Autoragent
When evaluating whether Autoragent is safe, consider these category-specific risks:
Understand how Autoragent processes, stores, and transmits your data. Gjennomgå tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Autoragent's dependency tree for kjente sårbarheter. Tools with outdated or unmaintained dependencies pose a higher sikkerhet risk.
Regularly check for updates to Autoragent. Sikkerhet patches and bug fixes are only effective if you're running the latest version.
If Autoragent 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 Autoragent's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Autoragent in violation of its license can expose your organization to legal liability.
Autoragent and the EU AI Act
Autoragent 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 samsvar assessment covers 52 jurisdictions worldwide. For organizations deploying AI tools in regulated environments, understanding these classifications is essential for legal samsvar.
Best Practices for Using Autoragent Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Autoragent while minimizing risk:
Periodically review how Autoragent is used in your workflow. Check for unexpected behavior, permissions drift, and samsvar with your sikkerhet policies.
Ensure Autoragent and all its dependencies are running the latest stable versions to benefit from sikkerhet patches.
Grant Autoragent only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Autoragent's sikkerhet advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Autoragent is used within your organization, including data handling guidelines and acceptable use cases.
When Should You Avoid Autoragent?
Even promising tools aren't right for every situation. Consider avoiding Autoragent in these scenarios:
- Production environments handling sensitive customer data
- Regulated industries (healthcare, finance, government) without additional samsvar review
- Mission-critical systems where downtime has significant business impact
For each scenario, evaluate whether Autoragent's trust score of 64.5/100 meets your organization's risk tolerance. We recommend running a manual sikkerhet assessment alongside the automated Nerq score.
How Autoragent Compares to Industry Standards
Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among research tools, the average Trust Score is 62/100. Autoragent's score of 64.5/100 is above the category average of 62/100.
This positions Autoragent favorably among research tools. While it outperforms the average, there is still room for improvement in certain trust dimensjoner.
Industry benchmarks matter because they contextualize a tool's safety profile. A score that looks moderat 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 Autoragent 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 vedlikehold patterns change, Autoragent'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 sikkerhet and quality. Conversely, a downward trend may signal reduced vedlikehold, growing technical debt, or unresolved vulnerabilities. To track Autoragent's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=AutoRAGent&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 — sikkerhet, vedlikehold, dokumentasjon, samsvar, and community — has evolved independently, providing granular visibility into which aspects of Autoragent are strengthening or weakening over time.
Autoragent vs Alternativer
In the research category, Autoragent scores 64.5/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Autoragent vs gpt_academic — Trust Score: 71.3/100
- Autoragent vs LlamaFactory — Trust Score: 89.1/100
- Autoragent vs unsloth — Trust Score: 86.6/100
Viktigste punkter
- Autoragent has a Trust Score of 64.5/100 (C) and is not yet Nerq Verified.
- Autoragent shows moderat trust signals. Conduct thorough due diligence before deploying to production environments.
- Among research tools, Autoragent 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.
Ofte stilte spørsmål
Er Autoragent trygt?
Hva er tillitspoengene til Autoragent?
Hva er tryggere alternativer til Autoragent?
Hvor ofte oppdateres Autoragents sikkerhetspoeng?
Kan jeg bruke Autoragent i et regulert miljø?
Se også
Disclaimer: Nerqs tillitspoeng er automatiserte vurderinger basert på offentlig tilgjengelige signaler. De utgjør ikke anbefalinger eller garantier. Utfør alltid din egen verifisering.