Comparison
pentest-ai vs awesome-ai-tools
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-ai-tools if awesome AI Tools provides a curated list of top-notch AI resources across various domains from text generation to marketing.
Markdown twin · pentest-ai alternatives · awesome-ai-tools alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | pentest-ai | awesome-ai-tools |
|---|---|---|
| Maintenance | Active (21d since push) As of 1mo · github_public_v1 | Slowing (221d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 1mo · github_public_v1 | Not a fork · Personal account As of 2w · 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-ai-tools
- A curated list of Artificial Intelligence Top Tools
Stars
- pentest-ai
- 1.4k
- awesome-ai-tools
- 5.9k
Forks
- pentest-ai
- 286
- awesome-ai-tools
- 2.0k
Open issues
- pentest-ai
- 2
- awesome-ai-tools
- 1.2k
Language
- pentest-ai
- Python
- awesome-ai-tools
- -
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-ai-tools
- Awesome AI Tools provides a curated list of top-notch AI resources across various domains from text generation to marketing.
Persona
- pentest-ai
- -
- awesome-ai-tools
- -
Runtime
- pentest-ai
- -
- awesome-ai-tools
- -
License
- pentest-ai
- MIT
- awesome-ai-tools
- MIT
Last pushed
- pentest-ai
- Jul 5, 2026
- awesome-ai-tools
- Dec 31, 2025
Categories
- pentest-ai
- AI Agents, Developer Tools
- awesome-ai-tools
- AI Agents, Computer Vision, Data & Retrieval, Developer Tools, Evaluation & Observability, Inference & Serving, Model Training, Speech & Audio
Trust and health
Maintenance
- pentest-ai
- Active (82%)
- awesome-ai-tools
- Slowing (36%)
Days since push
- pentest-ai
- 21d
- awesome-ai-tools
- 221d
Open issues (now)
- pentest-ai
- 2
- awesome-ai-tools
- 1.2k
Full report
- pentest-ai
- Trust report
- awesome-ai-tools
- 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-ai-tools if…
- Tags unique to awesome-ai-tools: ai-tools-list, awesome-ai-tools, code-ai, editor-choice.
- Also covers Computer Vision, Data & Retrieval, Evaluation & Observability, Inference & Serving, Model Training, Speech & Audio.
- When in need of a wide range of categorized AI tools for varied tasks like text generation, audio and video creation, or email management
When NOT to use awesome-ai-tools
- If you seek in-depth technical documentation on each tool since the repository mainly lists tools without comprehensive descriptions
- When you are exclusively interested in AI tools focusing only on one niche domain as there is a broad spectrum of choices presented here
Explore
pentest-ai trust report →awesome-ai-tools trust report →AI Agents category →Developer Tools category →Computer Vision category →Data & Retrieval category →Evaluation & Observability category →Inference & Serving category →Model Training category →Speech & Audio category →All comparisonsStack workflowsTrending tools
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 (mahseema/awesome-ai-tools) · observed Aug 10, 2026
- GitHub forks (mahseema/awesome-ai-tools) · observed Aug 10, 2026
- Last push (mahseema/awesome-ai-tools) · observed Dec 31, 2025
- License file (MIT) · observed Aug 10, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: pentest-ai 1.4k · awesome-ai-tools 5.9k (synced Jul 27, 2026).
Common questions
- What is the difference between pentest-ai and awesome-ai-tools?
- pentest-ai: Offensive-security MCP server with security tools and agents. awesome-ai-tools: A curated list of Artificial Intelligence Top Tools. See the comparison table for live GitHub stats and shared categories.
- When should I choose pentest-ai over awesome-ai-tools?
- Choose pentest-ai over awesome-ai-tools 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-ai-tools over pentest-ai?
- Choose awesome-ai-tools over pentest-ai when Tags unique to awesome-ai-tools: ai-tools-list, awesome-ai-tools, code-ai, editor-choice; Also covers Computer Vision, Data & Retrieval, Evaluation & Observability, Inference & Serving, Model Training, Speech & Audio; When in need of a wide range of categorized AI tools for varied tasks like text generation, audio and video creation, or email management.
- 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-ai-tools?
- If you seek in-depth technical documentation on each tool since the repository mainly lists tools without comprehensive descriptions When you are exclusively interested in AI tools focusing only on one niche domain as there is a broad spectrum of choices presented here
- Is pentest-ai or awesome-ai-tools more popular on GitHub?
- awesome-ai-tools has more GitHub stars (5,912 vs 1,441). Stars measure visibility, not whether either tool fits your constraints.
- Are pentest-ai and awesome-ai-tools open source?
- Yes - both are open-source projects on GitHub (pentest-ai: MIT, awesome-ai-tools: MIT).
- Where can I find alternatives to pentest-ai or awesome-ai-tools?
- GraphCanon lists graph-backed alternatives at pentest-ai alternatives and awesome-ai-tools alternatives (pentest-ai markdown twin, awesome-ai-tools 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-ai-tools?
- pentest-ai: Active. awesome-ai-tools: Slowing. 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-ai-tools?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: pentest-ai trust report; awesome-ai-tools trust report.