क्या Recursive Thinking सुरक्षित है?

Recursive Thinking — Nerq Trust Score 40.0/100 (E ग्रेड). 3 विश्वास आयामों के विश्लेषण के आधार पर, इसे उल्लेखनीय सुरक्षा चिंताएं हैं माना जाता है। अंतिम अपडेट: 2026-04-23।

Recursive Thinking के साथ सावधानी बरतें। Recursive Thinking एक software tool है Nerq विश्वास स्कोर के साथ 40.0/100 (E), based on 3 स्वतंत्र डेटा आयाम. Nerq सत्यापित सीमा से नीचे रखरखाव: 0/100. लोकप्रियता: 0/100. डेटा स्रोत: पैकेज रजिस्ट्री, GitHub, NVD, OSV.dev और OpenSSF Scorecard सहित कई सार्वजनिक स्रोत. अंतिम अपडेट: 2026-04-23. मशीन पठनीय डेटा (JSON).

क्या Recursive Thinking सुरक्षित है?

NO — USE WITH CAUTION — Recursive Thinking has a Nerq Trust Score of 40.0/100 (E). औसत से कम विश्वास संकेत और महत्वपूर्ण अंतराल हैं in सुरक्षा, रखरखाव, or दस्तावेज़ीकरण. Not recommended for production use without thorough manual review and additional सुरक्षा measures.

सुरक्षा विश्लेषण → Recursive Thinking गोपनीयता रिपोर्ट →

Recursive Thinking का विश्वास स्कोर क्या है?

Recursive Thinking का Nerq Trust Score 40.0/100 है, ग्रेड E। यह स्कोर सुरक्षा, रखरखाव और सामुदायिक अपनाने सहित 3 स्वतंत्र रूप से मापे गए आयामों पर आधारित है।

रखरखाव
0
दस्तावेज़ीकरण
0
लोकप्रियता
0

Recursive Thinking के प्रमुख सुरक्षा निष्कर्ष क्या हैं?

Recursive Thinking का सबसे मजबूत संकेत रखरखाव है 0/100 पर। कोई ज्ञात भेद्यता नहीं पाई गई। It has not yet reached the Nerq Verified threshold of 70+.

रखरखाव: 0/100 — कम रखरखाव गतिविधि
दस्तावेज़ीकरण: 0/100 — सीमित प्रलेखन
लोकप्रियता: 0/100 — 2 स्टार्स pulsemcp

Recursive Thinking क्या है और इसका रखरखाव कौन करता है?

डेवलपरhttps://github.com/parth3930/recursive-thinking-mcp
श्रेणीCoding
स्टार्स2
स्रोतhttps://github.com/parth3930/recursive-thinking-mcp

coding में लोकप्रिय विकल्प

Significant-Gravitas/AutoGPT
74.7/100 · B
github
ollama/ollama
73.8/100 · B
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langchain-ai/langchain
71.3/100 · B
github
x1xhlol/system-prompts-and-models-of-ai-tools
73.8/100 · B
github
anomalyco/opencode
64.1/100 · C+
github

What Is Recursive Thinking?

Recursive Thinking is a software tool in the coding category: Token-efficient recursive thinking engine for iterative refinement.. It has 2 GitHub stars. Nerq Trust Score: 40/100 (E).

Nerq independently analyzes every software tool, app, and extension across multiple trust signals including सुरक्षा vulnerabilities, रखरखाव activity, license अनुपालन, and सामुदायिक स्वीकृति.

How Nerq Assesses Recursive Thinking's Safety

Nerq's Trust Score is calculated from 13+ independent signals aggregated into five आयाम. Here is how Recursive Thinking performs in each:

The overall Trust Score of 40.0/100 (E) 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 Recursive Thinking?

Recursive Thinking is designed for:

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

How to Verify Recursive Thinking's Safety Yourself

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

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

Common Safety Concerns with Recursive Thinking

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

Data handling

Understand how Recursive Thinking processes, stores, and transmits your data. जांचें tool's privacy policy and data retention practices, especially for sensitive or proprietary information.

Dependency सुरक्षा

Check Recursive Thinking's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher सुरक्षा risk.

Update frequency

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

Third-party integrations

If Recursive Thinking 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 अनुपालन

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

Best Practices for Using Recursive Thinking Safely

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

Conduct regular audits

Periodically review how Recursive Thinking is used in your workflow. Check for unexpected behavior, permissions drift, and अनुपालन with your सुरक्षा policies.

Keep dependencies updated

Ensure Recursive Thinking and all its dependencies are running the latest stable versions to benefit from सुरक्षा patches.

Follow least privilege

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

Monitor for सुरक्षा advisories

Subscribe to Recursive Thinking's सुरक्षा 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 Recursive Thinking is used within your organization, including data handling guidelines and acceptable use cases.

When Should You Avoid Recursive Thinking?

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

For each scenario, evaluate whether Recursive Thinking's trust score of 40.0/100 meets your organization's risk tolerance. We recommend running a manual सुरक्षा assessment alongside the automated Nerq score.

How Recursive Thinking 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. Recursive Thinking's score of 40.0/100 is below the category average of 62/100.

This suggests that Recursive Thinking trails behind many comparable coding tools. Organizations with strict सुरक्षा 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 मध्यम 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 Recursive Thinking 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 रखरखाव patterns change, Recursive Thinking'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 सुरक्षा and quality. Conversely, a downward trend may signal reduced रखरखाव, growing technical debt, or unresolved vulnerabilities. To track Recursive Thinking's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=Recursive Thinking&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 — सुरक्षा, रखरखाव, दस्तावेज़ीकरण, अनुपालन, and community — has evolved independently, providing granular visibility into which aspects of Recursive Thinking are strengthening or weakening over time.

Recursive Thinking vs विकल्प

In the coding category, Recursive Thinking scores 40.0/100. There are higher-scoring alternatives available. For a detailed comparison, see:

मुख्य निष्कर्ष

विस्तृत स्कोर विश्लेषण

DimensionScore
रखरखाव0/100
लोकप्रियता0/100

आधारित 2 आयाम. Data from पैकेज रजिस्ट्री, GitHub, NVD, OSV.dev और OpenSSF Scorecard सहित कई सार्वजनिक स्रोत.

Recursive Thinking कौन सा डेटा एकत्र करता है?

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

क्या Recursive Thinking सुरक्षित है?

सुरक्षा score: मूल्यांकन के अंतर्गत. Review सुरक्षा practices and consider alternatives with higher सुरक्षा scores for sensitive use cases.

Nerq इस इकाई को NVD, OSV.dev और रजिस्ट्री-विशिष्ट कमजोरी डेटाबेस के विरुद्ध मॉनिटर करता है निरंतर सुरक्षा मूल्यांकन के लिए.

पूर्ण विश्लेषण: Recursive Thinking सुरक्षा रिपोर्ट

हमने इस स्कोर की गणना कैसे की

Recursive Thinking's trust score of 40.0/100 (E) से गणना की गई है पैकेज रजिस्ट्री, GitHub, NVD, OSV.dev और OpenSSF Scorecard सहित कई सार्वजनिक स्रोत. स्कोर प्रतिबिंबित करता है 2 स्वतंत्र आयाम: रखरखाव (0/100), लोकप्रियता (0/100). समग्र विश्वास स्कोर बनाने के लिए प्रत्येक आयाम को समान भार दिया गया है.

Nerq 26 रजिस्ट्री में 7.5 मिलियन से अधिक इकाइयों का विश्लेषण करता है एक ही कार्यप्रणाली का उपयोग करके, इकाइयों के बीच सीधी तुलना संभव बनाता है. नया डेटा उपलब्ध होने पर स्कोर लगातार अपडेट किए जाते हैं.

इस पेज की अंतिम समीक्षा की गई: April 23, 2026. डेटा संस्करण: 1.0.

पूर्ण कार्यप्रणाली दस्तावेज़ · मशीन पठनीय डेटा (JSON API)

अक्सर पूछे जाने वाले प्रश्न

क्या Recursive Thinking सुरक्षित है?
सावधानी बरतें। Recursive Thinking Nerq विश्वास स्कोर के साथ 40.0/100 (E). सबसे मजबूत संकेत: रखरखाव (0/100). स्कोर आधारित रखरखाव (0/100), लोकप्रियता (0/100), दस्तावेज़ीकरण (0/100).
Recursive Thinking का विश्वास स्कोर क्या है?
Recursive Thinking: 40.0/100 (E). स्कोर आधारित रखरखाव (0/100), लोकप्रियता (0/100), दस्तावेज़ीकरण (0/100). नया डेटा उपलब्ध होने पर स्कोर अपडेट होते हैं. API: GET nerq.ai/v1/preflight?target=Recursive Thinking
Recursive Thinking के अधिक सुरक्षित विकल्प क्या हैं?
Coding श्रेणी में, higher-rated alternatives include Significant-Gravitas/AutoGPT (75/100), ollama/ollama (74/100), langchain-ai/langchain (71/100). Recursive Thinking scores 40.0/100.
Recursive Thinking का सुरक्षा स्कोर कितनी बार अपडेट होता है?
Nerq continuously monitors Recursive Thinking and updates its trust score as new data becomes available. Current: 40.0/100 (E), last सत्यापित 2026-04-23. API: GET nerq.ai/v1/preflight?target=Recursive Thinking
क्या मैं विनियमित वातावरण में Recursive Thinking उपयोग कर सकता हूँ?
Recursive Thinking Nerq सत्यापन सीमा 70 तक नहीं पहुँचा। अतिरिक्त समीक्षा अनुशंसित है।
API: /v1/preflight Trust Badge API Docs

यह भी देखें

Disclaimer: Nerq विश्वास स्कोर सार्वजनिक रूप से उपलब्ध संकेतों पर आधारित स्वचालित मूल्यांकन हैं। ये सिफारिश या गारंटी नहीं हैं। हमेशा अपना स्वयं का सत्यापन करें।

हम विश्लेषण और कैशिंग के लिए कुकीज़ का उपयोग करते हैं। गोपनीयता