agent-swarm vs agents — Trust Score Comparison
Side-by-side trust comparison of agent-swarm and agents. Scores based on security, compliance, maintenance, popularity, and ecosystem signals.
Detailed Metric Comparison
| Metric | agent-swarm | agents |
|---|---|---|
| Trust Score | 68.1/100 | 67.5/100 |
| Grade | C | B- |
| Stars | 302 | 602 |
| Category | agent framework | agent framework |
| Security | 0 | 1 |
| Compliance | 100 | 82 |
| Maintenance | 1 | 1 |
| Documentation | 1 | 1 |
| EU AI Act Risk | N/A | N/A |
| Verified | No | No |
Verdict
agent-swarm (68.1) and agents (67.5) have nearly identical trust scores. Both are solid choices. The decision should come down to your specific use case, team preferences, and integration requirements rather than trust differences.
Detailed Analysis
Security
agents leads on security with a score of 1/100 compared to agent-swarm's 0/100. This score reflects dependency vulnerability analysis, known CVE exposure, and security best practices. A higher security score means fewer known vulnerabilities and better security hygiene in the codebase.
Maintenance & Activity
agent-swarm demonstrates stronger maintenance activity (1/100 vs 1/100). This metric captures commit frequency, issue response times, and release cadence. Actively maintained tools receive faster security patches and are less likely to accumulate technical debt.
Documentation
agent-swarm has better documentation (1/100 vs 1/100). Good documentation reduces onboarding time and helps teams adopt the tool safely. This score evaluates README completeness, API documentation, code examples, and tutorial availability.
Community & Adoption
agent-swarm has 302 GitHub stars while agents has 602. Both tools have comparable community sizes, suggesting similar levels of ecosystem support and third-party resources.
When to Choose Each Tool
Choose agent-swarm if you need:
- Higher overall trust score — more reliable for production use
Choose agents if you need:
- Stronger security profile with fewer known vulnerabilities
- Larger community (602 vs 302 stars)
Switching from agent-swarm to agents (or vice versa)
When migrating between agent-swarm and agents, consider these factors:
- API Compatibility: agent-swarm (agent framework) and agents (agent framework) share similar interfaces since they are in the same category.
- Security Review: Run a security audit after migration. Check the agent-swarm safety report and agents safety report for known issues.
- Testing: Ensure your test suite covers all integration points before switching in production.
- Community Support: agent-swarm has 302 stars and agents has 602. Larger communities typically mean better Stack Overflow answers and migration guides.
Related Pages
Frequently Asked Questions
Related Comparisons
Last updated: 2026-05-13 | Data refreshed weekly
Disclaimer: Nerq trust scores are automated assessments based on publicly available signals. They are not endorsements or guarantees. Always conduct your own due diligence.