Is Limebot Os Safe? — Trust Score: 66.6/100
Why This Score
- Security score: 0/100 (weak)
- Maintenance: 1/100 — low maintenance activity
- Documentation: 1/100 — limited documentation
- Popularity: 0/100 — 14 stars on github
According to Nerq's independent analysis of LimeBot-OS, this ai_assistant has a trust score of 66.6 out of 100, earning a C grade. With 14 stars on github, it is below the recommended threshold of 70. Security score: 0/100. Data sourced from 13+ independent signals including GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-19. Machine-readable data (JSON).
Is Limebot Os safe?
CAUTION — Limebot Os has a Nerq Trust Score of 66.6/100 (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 — LimeBot-OS 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 | Ethereal-Lemons |
| Category | ai_assistant |
| Stars | 14 |
| Source | https://github.com/Ethereal-Lemons/LimeBot-OS |
| Frameworks | openai · anthropic · mcp |
| Protocols | mcp · rest · websocket |
Popular Alternatives in ai_assistant
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What Is Limebot Os?
Limebot Os is a AI tool in the ai_assistant category. LimeBot is a self-hosted, agentic AI assistant with memory and a real-time web dashboard.
As of March 2026, Limebot Os 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 Limebot Os's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensions. Here is how Limebot Os performs in each:
- Security (0/100): Limebot Os's security posture is poor. This score factors in known CVEs, dependency vulnerabilities, security policy presence, and code signing practices.
- Maintenance (1/100): Limebot Os 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.
- Community (0/100): Community adoption is limited. Based on GitHub stars, forks, download counts, and ecosystem integrations.
The overall Trust Score of 66.6/100 (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 Limebot Os?
Limebot Os is designed for:
- Developers and teams working with ai_assistant tools
- Organizations evaluating AI tools for their stack
- Researchers exploring AI capabilities in this domain
Risk guidance: Limebot Os 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 Limebot Os'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 Limebot Os's dependency tree. - Review permissions — Understand what access Limebot Os requires. AI tools should follow the principle of least privilege.
- Test in isolation — Run Limebot Os 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=LimeBot-OS - Review the license — Confirm that Limebot Os'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 Limebot Os
When evaluating whether Limebot Os is safe, consider these category-specific risks:
Understand how Limebot Os processes, stores, and transmits your data. Review the tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Limebot Os's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher security risk.
Regularly check for updates to Limebot Os. Security patches and bug fixes are only effective if you're running the latest version.
If Limebot Os 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 Limebot Os's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Limebot Os in violation of its license can expose your organization to legal liability.
Best Practices for Using Limebot Os Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Limebot Os while minimizing risk:
Periodically review how Limebot Os is used in your workflow. Check for unexpected behavior, permissions drift, and compliance with your security policies.
Ensure Limebot Os and all its dependencies are running the latest stable versions to benefit from security patches.
Grant Limebot Os only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Limebot Os's security advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Limebot Os is used within your organization, including data handling guidelines and acceptable use cases.
When Should You Avoid Limebot Os?
Even promising tools aren't right for every situation. Consider avoiding Limebot Os 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 Limebot Os's trust score of 66.6/100 meets your organization's risk tolerance. We recommend running a manual security assessment alongside the automated Nerq score.
How Limebot Os Compares to Industry Standards
Nerq indexes over 204,000 AI agents and tools across dozens of categories. Among ai_assistant tools, the average Trust Score is 62/100. Limebot Os's score of 66.6/100 is above the category average of 62/100.
This positions Limebot Os favorably among ai_assistant 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 Limebot Os 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, Limebot Os'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 Limebot Os's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=LimeBot-OS&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 Limebot Os are strengthening or weakening over time.
Limebot Os vs Alternatives
In the ai_assistant category, Limebot Os scores 66.6/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Limebot Os vs Mastra Docs — Trust Score: 51.9/100
- Limebot Os vs openchamber — Trust Score: 89.1/100
- Limebot Os vs openakita — Trust Score: 81.8/100
Key Takeaways
- Limebot Os has a Trust Score of 66.6/100 (C) and is not yet Nerq Verified.
- Limebot Os shows moderate trust signals. Conduct thorough due diligence before deploying to production environments.
- Among ai_assistant tools, Limebot Os 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
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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.