Comparison
pentest-ai vs awesome-hermes-usecases
Verdict
Pick pentest-ai if pentest-ai is an offensive-security platform featuring over 200 security tools and agents for various security tasks including exploit chaining and osint, licensed under MIT; pick awesome-hermes-usecases if awesome-hermes-usecases provides an assortment of real-world deployment patterns for Hermes Agent, enabling users to apply self-improving AI agents effectively across various scenarios.
Markdown twin · pentest-ai alternatives · awesome-hermes-usecases alternatives
GraphCanon updated 1w
vs
Trust & integrity
| Signal | pentest-ai | awesome-hermes-usecases |
|---|---|---|
| Maintenance | Active (21d since push) As of 1mo · github_public_v1 | Very active (2d since push) As of 1w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 1mo · github_public_v1 | Not a fork · Personal account As of 1w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- pentest-ai
- Offensive-security MCP server with security tools and agents
- awesome-hermes-usecases
- Curated real-world use cases for Hermes Agent from Nous Research
Stars
- pentest-ai
- 1.4k
- awesome-hermes-usecases
- 185
Forks
- pentest-ai
- 286
- awesome-hermes-usecases
- 17
Open issues
- pentest-ai
- 2
- awesome-hermes-usecases
- 2
Language
- pentest-ai
- Python
- awesome-hermes-usecases
- Python
Adopt for
- pentest-ai
- Pentest-ai is an offensive-security platform featuring over 200 security tools and agents for various security tasks including exploit chaining and osint, licensed under MIT.
- awesome-hermes-usecases
- awesome-hermes-usecases provides an assortment of real-world deployment patterns for Hermes Agent, enabling users to apply self-improving AI agents effectively across various scenarios.
Persona
- pentest-ai
- -
- awesome-hermes-usecases
- -
Runtime
- pentest-ai
- -
- awesome-hermes-usecases
- -
License
- pentest-ai
- MIT
- awesome-hermes-usecases
- MIT for code and configurations, CC BY 4.0 for documentation
Last pushed
- pentest-ai
- Jul 5, 2026
- awesome-hermes-usecases
- Aug 11, 2026
Categories
- pentest-ai
- AI Agents, Developer Tools
- awesome-hermes-usecases
- AI Agents, Developer Tools
Trust and health
Maintenance
- pentest-ai
- Active (82%)
- awesome-hermes-usecases
- Very active (96%)
Days since push
- pentest-ai
- 21d
- awesome-hermes-usecases
- 2d
Full report
- pentest-ai
- Trust report
- awesome-hermes-usecases
- Trust report
Choose pentest-ai if…
- Tags unique to pentest-ai: cybersecurity, mcp, pentesting, security.
- pentest-ai ships Docker support for self-hosted deployment.
- When you need a comprehensive suite that includes more than 205 security tools and 17 specialist agents.
When NOT to use pentest-ai
- If your requirements do not include offensive-security capabilities or exploit chaining.
- When you want to avoid MIT-licensed open-source code and prefer proprietary solutions without sharing obligations.
Choose awesome-hermes-usecases if…
- Pricing: The tool itself is open-source and free under MIT license but may require cloud service credits or premium subscriptions if using enterprise-grade deployments.
- Requirements: Requires Docker.
- Tags unique to awesome-hermes-usecases: agentic-ai, ai-agent, automation, cron-jobs.
- When seeking real-world applications and case studies specifically utilizing Hermes Agent from Nous Research
When NOT to use awesome-hermes-usecases
- If your project relies on non-AI automation tools where the deployment of a self-improving agent is not required
- When deploying AI agents without needing to explore specific use cases for Hermes Agent and its particular setup patterns, or when looking for more generic deployment tools
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (0xSteph/pentest-ai) · observed Jul 27, 2026
- GitHub forks (0xSteph/pentest-ai) · observed Jul 27, 2026
- Last push (0xSteph/pentest-ai) · observed Jul 5, 2026
- License file (MIT) · observed Jul 27, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (aliaihub/awesome-hermes-usecases) · observed Aug 13, 2026
- GitHub forks (aliaihub/awesome-hermes-usecases) · observed Aug 13, 2026
- Last push (aliaihub/awesome-hermes-usecases) · observed Aug 11, 2026
- License file (MIT) · observed Aug 13, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: pentest-ai 1.4k · awesome-hermes-usecases 185 (synced Jul 27, 2026).
Common questions
- What is the difference between pentest-ai and awesome-hermes-usecases?
- pentest-ai: Offensive-security MCP server with security tools and agents. awesome-hermes-usecases: Curated real-world use cases for Hermes Agent from Nous Research. See the comparison table for live GitHub stats and shared categories.
- When should I choose pentest-ai over awesome-hermes-usecases?
- Choose pentest-ai over awesome-hermes-usecases when Tags unique to pentest-ai: cybersecurity, mcp, pentesting, security; pentest-ai ships Docker support for self-hosted deployment; When you need a comprehensive suite that includes more than 205 security tools and 17 specialist agents.
- When should I choose awesome-hermes-usecases over pentest-ai?
- Choose awesome-hermes-usecases over pentest-ai when Pricing: The tool itself is open-source and free under MIT license but may require cloud service credits or premium subscriptions if using enterprise-grade deployments; Requirements: Requires Docker; Tags unique to awesome-hermes-usecases: agentic-ai, ai-agent, automation, cron-jobs; When seeking real-world applications and case studies specifically utilizing Hermes Agent from Nous Research.
- When should I avoid pentest-ai?
- If your requirements do not include offensive-security capabilities or exploit chaining. When you want to avoid MIT-licensed open-source code and prefer proprietary solutions without sharing obligations.
- When should I avoid awesome-hermes-usecases?
- If your project relies on non-AI automation tools where the deployment of a self-improving agent is not required When deploying AI agents without needing to explore specific use cases for Hermes Agent and its particular setup patterns, or when looking for more generic deployment tools
- Is pentest-ai or awesome-hermes-usecases more popular on GitHub?
- pentest-ai has more GitHub stars (1,441 vs 185). Stars measure visibility, not whether either tool fits your constraints.
- Are pentest-ai and awesome-hermes-usecases open source?
- Yes - both are open-source projects on GitHub (pentest-ai: MIT, awesome-hermes-usecases: MIT).
- Where can I find alternatives to pentest-ai or awesome-hermes-usecases?
- GraphCanon lists graph-backed alternatives at pentest-ai alternatives and awesome-hermes-usecases alternatives (pentest-ai markdown twin, awesome-hermes-usecases markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, pentest-ai or awesome-hermes-usecases?
- pentest-ai: Active. awesome-hermes-usecases: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for pentest-ai and awesome-hermes-usecases?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: pentest-ai trust report; awesome-hermes-usecases trust report.